[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_1273":1274,"_1275":1276},"routes/_app.x.$handle.$name",{"_96":95,"_32":45,"_105":86,"_27":106,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":25,"_120":121,"_122":59,"_123":-5,"_124":-5,"_125":126},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":25},"version",345,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":20,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":33,"_34":20,"_35":36},"deleted",false,"deletedHere","path","skills/remote-mcp/SKILL.md","latestPath","fileId","019f5ccf-2c6d-72a9-a113-ea7a95f2ed4e","name","SKILL.md","fileType","content","---\nname: remote-mcp\ndescription: Build a remote MCP server as a Val Town HTTP val — stateless streamable HTTP, hand-rolled JSON-RPC, and the right auth pattern (server-secret vs bring-your-own-key vs OAuth) so it connects cleanly from Claude.ai custom connectors, Claude Code, Codex, and the OpenAI Responses API.\nera: 2026-07\n---\n\n# remote-mcp\n\nHow to build a remote MCP server on Val Town. Distilled from `dcm31/vapi-remote-mcp` (best protocol plumbing), `dcm31/manifoldMcp` (BYOK auth), `dcm31/jelly-mcp` (both combined), and `pcarleton/mcp-v2-examples` (OAuth / SDK frontier).\n\n## The one-paragraph version\n\nAn MCP server on Val Town is a single HTTP val that answers JSON-RPC 2.0 POSTs. You do NOT need the `@modelcontextprotocol/sdk` npm package, sessions, SSE, or WebSockets. Stateless \"streamable HTTP\" with plain `application/json` responses is spec-compliant and is what every client (Claude.ai, Claude Code, Codex, OpenAI Responses, MCP Inspector) actually speaks. Hand-roll four methods — `initialize`, `ping`, `tools/list`, `tools/call` — return 202 for notifications, handle batch arrays, and you're done.\n\n## File layout\n\n```\nmain.ts # HTTP entry: routing + auth extraction; hands Request to mcp.ts\nmcp.ts # protocol plumbing (copy from an exemplar, ~80 lines, rarely changes)\ntools.ts # TOOLS array (name/description/inputSchema) + runTool(name, args, ctx)\n.ts # thin client for the upstream API you're wrapping\nREADME.md # connect instructions per client + tool table\n```\n\nCopy `mcp.ts` from `dcm31/vapi-remote-mcp` or `dcm31/jelly-mcp` with `copy_files` — don't rewrite it.\n\n## Protocol minimum (what mcp.ts must do)\n\n- `initialize` → echo the client's `protocolVersion` if it's one you know (`2024-11-05`, `2025-03-26`, `2025-06-18`), else return the newest. Include `capabilities: { tools: { listChanged: false } }`, `serverInfo`, and an `instructions` string — instructions are free system-prompt real estate; use them to teach the calling agent the tool loop.\n- `ping` → `{}`.\n- `tools/list` → `{ tools: TOOLS }` (each: `name`, `description`, `inputSchema` JSON Schema).\n- `tools/call` → run the tool; on success `{ content: [{ type: \"text\", text }], isError: false }`; on tool failure return a *result* with `isError: true` (not a JSON-RPC error) so the model can read and recover from the message.\n- Messages with no `id` are notifications (`notifications/initialized` etc.) → no body; if the whole POST was notifications, respond `202` with empty body.\n- Body may be a single message or an array (batch) — handle both, reply in kind.\n- Unknown method → JSON-RPC error `-32601`; parse failure → `-32700`.\n- `GET` on the endpoint → if `Accept: text/event-stream`, return a real SSE stream (initial `: connected` comment + periodic `: ping`, close before the val execution limit — SSE clients auto-reconnect). Otherwise return a plaintext info page for humans. Never answer an event-stream Accept with `200 text/plain` — strict clients treat that as a dead transport.\\n- `POST` responses: if the request's `Accept` includes `text/event-stream`, wrap each reply as an SSE frame (`event: message\\\\ndata: \\\\n\\\\n`) with `Content-Type: text/event-stream`; otherwise plain `application/json`. Accept-negotiating keeps both client families happy from one endpoint.\\n- Stub `prompts/list` → `{ prompts: [] }`, `resources/list` → `{ resources: [] }`, `resources/templates/list` → `{ resourceTemplates: [] }`, and declare `prompts`/`resources` in `initialize` capabilities. Some clients call these unconditionally and treat `-32601` as a failed connection.\\n\\n## Client strictness: Pebble Index app (Jul 2026 field notes)\\n\\nThe Pebble/Core \\\"Index\\\" app's Add-HTTP-MCP client is the strictest client observed so far and motivated the three rules above: it GETs the endpoint expecting SSE, requires SSE-framed POST responses, and hard-fails on missing `prompts/list`. With all three fixed it completes `initialize` → `initialized` → `tools/list`/`prompts/list` cleanly (verified via `charlies-index`). **Known blocker:** as of Jul 2026 its agent never emits `tools/call` to external HTTP servers — it errors \\\"Invalid tool call\\\" client-side, pre-network (confirmed by instrumenting the 401 path and logging every request: zero tool calls arrive, authorized or not, on Default and High Capability models, with rich schemas and with a single ASCII zero-frills tool). Nothing server-side fixes this; it's their client bug. Pair the MCP server with a plain transcription webhook lane for anything that must actually work.\n\n## Auth: pick one of three patterns\n\n**1. Server-secret (personal server).** One `MCP_KEY` env var; accept it via `?key=`, `x-api-key`, or `Authorization: Bearer`. Exemplar: `dcm31/vapi-remote-mcp`. Use when the val wraps *your* accounts.\n\n**2. Bring-your-own-key passthrough (public server).** The val stores NOTHING; each request carries the user's upstream API key and the val forwards it. Exemplars: `dcm31/manifoldMcp`, `dcm31/jelly-mcp`. Rules:\n- Accept the key from `Authorization: Bearer `, `x-api-key`, AND `?key=` in the URL. The URL form is mandatory — see the client matrix below.\n- **No env-var fallback on a public val.** If the deployed val ever gets a real key in its env, every keyless request would silently use it. Testers remix the val and set env on their private copy instead.\n- Missing key → JSON-RPC error with an actionable message (where to get a key, how to pass it).\n\n**3. OAuth.** Only when a client or org requires it. It's a 401 + `WWW-Authenticate` → protected-resource metadata → AS metadata → token dance across several `/.well-known/` routes. Study `pcarleton/mcp-v2-examples` (bearer-auth and client-credentials examples, including the exact well-known paths SDK discovery probes) and `pcarleton/mcp-oauth-examples` on GitHub before attempting. For \"log in with Val Town\" specifically, `std/oauth` exists.\n\n## Client connection matrix (why ?key= matters)\n\n| Client | Custom headers? | How the key travels |\n|---|---|---|\n| Claude.ai custom connector | **No** — URL only | `https://…val.run/mcp?key=` as the connector URL |\n| Claude Code (`claude mcp add --transport http`) | Yes (`--header`) | `Authorization: Bearer ` |\n| Codex CLI (`config.toml`) | Yes | `headers = { Authorization = \"Bearer \" }` |\n| OpenAI Responses API | Yes | `headers` on the tool block |\n| MCP Inspector (`npx @modelcontextprotocol/inspector`) | Yes | either |\n\nCaveat to note in the README: a key in the URL can land in logs/analytics; prefer the header wherever the client allows it.\n\n## Val Town specifics\n\n- Deno runtime; the val is deployed the moment you save. The endpoint URL is on the HTTP file's `links.endpoint` — never construct it.\n- Don't fight CORS: Val Town adds permissive defaults; if you set ANY CORS header yourself the defaults vanish, so either handle OPTIONS + all headers completely or touch none.\n- Don't import `@modelcontextprotocol/sdk`. v1 is heavy and unnecessary; v2 (unreleased) can't even be imported normally — Val Town rewrites esm.sh imports through its own builder, breaking `?bundle-deps` (pcarleton proxies raw bundle bytes through a second val to work around it). Hand-rolled is ~80 lines and has no failure modes.\n- Console.log each `method` + tool name — `get_logs`/`get_traces` become your debugger.\n- Optionally mirror the tools as plain REST routes (`/api/:action`) sharing the same `runTool` — free curl-ability (see vapi-remote-mcp).\n\n## Tool design notes\n\n- Return human/LLM-readable text, not raw JSON dumps (truncate lists, include IDs so the model can chain calls). If the upstream API has an LLM-friendly view (e.g. Jelly's `/conversations/:id.markdown`), make it the default.\n- Put cost/danger warnings in the tool description (\"costs real mana\", \"sends email\") — the description is the only guardrail the model sees.\n- Cursor-paginated upstreams: expose `limit` + `cursor` params and echo `next_cursor` in the text output.\n\n## Test checklist (no upstream key needed)\n\nVia `fetch_val_endpoint` or curl, all POST JSON-RPC:\n1. `initialize` (with a `protocolVersion` you support and one you don't) → correct echo/downgrade.\n2. `tools/list` → schemas present.\n3. Notification-only body → `202` empty.\n4. `tools/call` with **no key** → actionable error result.\n5. `tools/call` with a **garbage key** → upstream 401 surfaced as `isError: true` text.\n6. `GET /` → info page.\nThen real-key smoke test from a private val/env, read-only tools only.\n\n## Exemplars\n\n- `dcm31/vapi-remote-mcp` — canonical `mcp.ts`, server-secret auth, REST mirror, live debug page\n- `dcm31/manifoldMcp` — BYOK passthrough, 20-tool wrapper of a REST API, per-client connect docs\n- `dcm31/jelly-mcp` — BYOK + modern plumbing combined (built with this skill)\n- `pcarleton/mcp-v2-examples` — OAuth flows + the v2 SDK import saga\n- `dcm31/mcp_sse_server` — legacy SSE transport; historical only, don't copy\n","---\nname: remote-mcp\ndescription: Build a remote MCP server as a Val Town HTTP val — stateless streamable HTTP, hand-rolled JSON-RPC, and the right auth pattern (server-secret vs bring-your-own-key vs OAuth) so it connects cleanly from Claude.ai custom connectors, Claude Code, Codex, and the OpenAI Responses API.\nera: 2026-07\n---\n\n# remote-mcp\n\nHow to build a remote MCP server on Val Town. Distilled from `dcm31/vapi-remote-mcp` (best protocol plumbing), `dcm31/manifoldMcp` (BYOK auth), `dcm31/jelly-mcp` (both combined), and `pcarleton/mcp-v2-examples` (OAuth / SDK frontier).\n\n## The one-paragraph version\n\nAn MCP server on Val Town is a single HTTP val that answers JSON-RPC 2.0 POSTs. You do NOT need the `@modelcontextprotocol/sdk` npm package, sessions, SSE, or WebSockets. Stateless \"streamable HTTP\" with plain `application/json` responses is spec-compliant and is what every client (Claude.ai, Claude Code, Codex, OpenAI Responses, MCP Inspector) actually speaks. Hand-roll four methods — `initialize`, `ping`, `tools/list`, `tools/call` — return 202 for notifications, handle batch arrays, and you're done. (Exception: some strict clients also demand SSE framing and prompts/resources stubs — see the Pebble Index field notes below.)\n\n## File layout\n\n```\nmain.ts # HTTP entry: routing + auth extraction; hands Request to mcp.ts\nmcp.ts # protocol plumbing (copy from an exemplar, ~80 lines, rarely changes)\ntools.ts # TOOLS array (name/description/inputSchema) + runTool(name, args, ctx)\n.ts # thin client for the upstream API you're wrapping\nREADME.md # connect instructions per client + tool table\n```\n\nCopy `mcp.ts` from `dcm31/vapi-remote-mcp` or `dcm31/jelly-mcp` with `copy_files` — don't rewrite it. (For a strict-client-hardened variant with SSE framing + stubs, copy from `dcm31/index-webhook-test` or `dcm31/pebble-mcp-repro`.)\n\n## Protocol minimum (what mcp.ts must do)\n\n- `initialize` → echo the client's `protocolVersion` if it's one you know (`2024-11-05`, `2025-03-26`, `2025-06-18`), else return the newest. Include `capabilities: { tools: { listChanged: false } }`, `serverInfo`, and an `instructions` string — instructions are free system-prompt real estate; use them to teach the calling agent the tool loop.\n- `ping` → `{}`.\n- `tools/list` → `{ tools: TOOLS }` (each: `name`, `description`, `inputSchema` JSON Schema).\n- `tools/call` → run the tool; on success `{ content: [{ type: \"text\", text }], isError: false }`; on tool failure return a *result* with `isError: true` (not a JSON-RPC error) so the model can read and recover from the message.\n- Messages with no `id` are notifications (`notifications/initialized` etc.) → no body; if the whole POST was notifications, respond `202` with empty body.\n- Body may be a single message or an array (batch) — handle both, reply in kind.\n- Unknown method → JSON-RPC error `-32601`; parse failure → `-32700`.\n- `GET` on the endpoint → if `Accept: text/event-stream`, return a real SSE stream (initial `: connected` comment + periodic `: ping`, close before the val execution limit — SSE clients auto-reconnect). Otherwise return a plaintext info page for humans. Never answer an event-stream Accept with `200 text/plain` — strict clients treat that as a dead transport.\n- `POST` responses: if the request's `Accept` includes `text/event-stream`, wrap each reply as an SSE frame (`event: message`, `data: `, blank line) with `Content-Type: text/event-stream`; otherwise plain `application/json`. Accept-negotiating keeps both client families happy from one endpoint.\n- Stub `prompts/list` → `{ prompts: [] }`, `resources/list` → `{ resources: [] }`, `resources/templates/list` → `{ resourceTemplates: [] }`, and declare `prompts`/`resources` in `initialize` capabilities. Some clients call these unconditionally and treat `-32601` as a failed connection.\n\n## Client strictness: Pebble Index app (Jul 2026 field notes)\n\nThe Pebble/Core \"Index\" app's HTTP MCP client is the strictest observed so far and motivated the three rules above: it GETs the endpoint expecting SSE, requires SSE-framed POST responses, and hard-fails on missing `prompts/list`. Beyond connecting, three non-obvious requirements before tools actually fire (all confirmed via the live repro `dcm31/pebble-mcp-repro`, resolved Jul 24 2026):\n\n- **The server's display Name in the app must be letters/digits/hyphens only.** A space or punctuation in the Name (e.g. \"my mcp\") makes the agent fail every call with \"Invalid tool call\" — tools/list still loads, then zero network traffic. This took three days to isolate; confirmed by Core Devices, and the repro log received its first-ever `tools/call` immediately after a rename.\n- **Group membership gates the agent.** The runtime only fetches `tools/list` for servers in the group the agent uses (e.g. Default MCP Sandbox); in other groups it silently falls back to built-ins with no error shown.\n- Two client identities connect: `clientInfo CoreApp 1.0.0` (settings validation; calls `prompts/list`) and `CoreApp 0.0.1` (agent runtime; calls `tools/list` + `tools/call`).\n\nA parallel plain-transcription webhook lane is still wise for guaranteed capture: the app's webhook delivery has a separate silent-drop bug with no retry.\n\n## Auth: pick one of three patterns\n\n**1. Server-secret (personal server).** One `MCP_KEY` env var; accept it via `?key=`, `x-api-key`, or `Authorization: Bearer`. Exemplar: `dcm31/vapi-remote-mcp`. Use when the val wraps *your* accounts.\n\n**2. Bring-your-own-key passthrough (public server).** The val stores NOTHING; each request carries the user's upstream API key and the val forwards it. Exemplars: `dcm31/manifoldMcp`, `dcm31/jelly-mcp`. Rules:\n- Accept the key from `Authorization: Bearer `, `x-api-key`, AND `?key=` in the URL. The URL form is mandatory — see the client matrix below.\n- **No env-var fallback on a public val.** If the deployed val ever gets a real key in its env, every keyless request would silently use it. Testers remix the val and set env on their private copy instead.\n- Missing key → JSON-RPC error with an actionable message (where to get a key, how to pass it).\n\n**3. OAuth.** Only when a client or org requires it. It's a 401 + `WWW-Authenticate` → protected-resource metadata → AS metadata → token dance across several `/.well-known/` routes. Study `pcarleton/mcp-v2-examples` (bearer-auth and client-credentials examples, including the exact well-known paths SDK discovery probes) and `pcarleton/mcp-oauth-examples` on GitHub before attempting. For \"log in with Val Town\" specifically, `std/oauth` exists.\n\n## Client connection matrix (why ?key= matters)\n\n| Client | Custom headers? | How the key travels |\n|---|---|---|\n| Claude.ai custom connector | **No** — URL only | `https://…val.run/mcp?key=` as the connector URL |\n| Claude Code (`claude mcp add --transport http`) | Yes (`--header`) | `Authorization: Bearer ` |\n| Codex CLI (`config.toml`) | Yes | `headers = { Authorization = \"Bearer \" }` |\n| OpenAI Responses API | Yes | `headers` on the tool block |\n| MCP Inspector (`npx @modelcontextprotocol/inspector`) | Yes | either |\n| Pebble Index app | Yes (Authorization field) | `Authorization: Bearer ` or `?key=` in the URL; **Name must be hyphen-safe**, type Streamable, and the server must be in the agent's group |\n\nCaveat to note in the README: a key in the URL can land in logs/analytics; prefer the header wherever the client allows it.\n\n## Val Town specifics\n\n- Deno runtime; the val is deployed the moment you save. The endpoint URL is on the HTTP file's `links.endpoint` — never construct it.\n- Don't fight CORS: Val Town adds permissive defaults; if you set ANY CORS header yourself the defaults vanish, so either handle OPTIONS + all headers completely or touch none.\n- Don't import `@modelcontextprotocol/sdk`. v1 is heavy and unnecessary; v2 (unreleased) can't even be imported normally — Val Town rewrites esm.sh imports through its own builder, breaking `?bundle-deps` (pcarleton proxies raw bundle bytes through a second val to work around it). Hand-rolled is ~80 lines and has no failure modes.\n- Console.log each `method` + tool name — `get_logs`/`get_traces` become your debugger. For strict-client debugging, log every request to sqlite and expose a `/log` route (see `dcm31/pebble-mcp-repro`) — a self-evidencing repro server turns bug reports into one link.\n- Optionally mirror the tools as plain REST routes (`/api/:action`) sharing the same `runTool` — free curl-ability (see vapi-remote-mcp).\n\n## Tool design notes\n\n- Return human/LLM-readable text, not raw JSON dumps (truncate lists, include IDs so the model can chain calls). If the upstream API has an LLM-friendly view (e.g. Jelly's `/conversations/:id.markdown`), make it the default.\n- Put cost/danger warnings in the tool description (\"costs real mana\", \"sends email\") — the description is the only guardrail the model sees.\n- Cursor-paginated upstreams: expose `limit` + `cursor` params and echo `next_cursor` in the text output.\n\n## Test checklist (no upstream key needed)\n\nVia `fetch_val_endpoint` or curl, all POST JSON-RPC:\n1. `initialize` (with a `protocolVersion` you support and one you don't) → correct echo/downgrade.\n2. `tools/list` → schemas present.\n3. Notification-only body → `202` empty.\n4. `tools/call` with **no key** → actionable error result.\n5. `tools/call` with a **garbage key** → upstream 401 surfaced as `isError: true` text.\n6. `GET /` → info page; `GET /` with `Accept: text/event-stream` → SSE stream, correct content-type.\n7. `initialize` with `Accept: application/json, text/event-stream` → SSE-framed response.\nThen real-key smoke test from a private val/env, read-only tools only.\n\n## Exemplars\n\n- `dcm31/vapi-remote-mcp` — canonical `mcp.ts`, server-secret auth, REST mirror, live debug page\n- `dcm31/manifoldMcp` — BYOK passthrough, 20-tool wrapper of a REST API, per-client connect docs\n- `dcm31/jelly-mcp` — BYOK + modern plumbing combined (built with this skill)\n- `dcm31/index-webhook-test` — strict-client-hardened mcp.ts (SSE framing + stubs), Pebble-compatible\n- `dcm31/pebble-mcp-repro` — self-evidencing repro server pattern (request log at `/log`)\n- `pcarleton/mcp-v2-examples` — OAuth flows + the v2 SDK import saga\n- `dcm31/mcp_sse_server` — legacy SSE transport; historical only, don't copy\n","createdAt",["D",1784926863824],"branchVersion","branchId","a265a3e8-5924-11f1-b614-ee650bb23af1","id","a264eee4-5924-11f1-b614-ee650bb23af1","skillbook",["D",1779814930341],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Interactive trading-card view of an agent skill repo","imageUrl","9319c175-2593-4f88-ba21-04f2ef7b1c28","pinnedFileId","a2693198-5924-11f1-b614-ee650bb23af1","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",1,"orgId","d663a026-6449-42f6-9156-1d4a2d64d38c","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_104":100},"org",{"_96":95,"_97":98,"_99":100,"_18":55,"_101":102,"_103":25},"branch",{"_13":14,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"isOwned","main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","dcm31","handle","displayName","Charlie","avatar","https://imagedelivery.net/iHX6Ovru0O7AjmyT5yZRoA/3e904faa-3764-4629-c475-f561a49b0000/square512?exp=1789545599&sig=a8da35ef71655bebef6a4600a21351bd7f28e3bed5ff684593eef639c5d17466","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":1269,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":1270,"_81":1271,"_83":1272,"_85":25},"tree",[196,198,201,325,328,332,333],"files",[196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318,319,320,321,322,323,324,325,326,327,328,329,330,331,332,333],"counts",{"_185":158,"_186":63,"_187":158,"_188":189,"_190":191},"contents",[127,128,129,130,131,132,133],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":179,"_32":180,"_30":181,"_136":-5,"_41":42,"_40":182,"_138":59,"_38":183,"_13":158,"_34":159,"_35":-5,"_24":25,"_143":-5,"_27":184},{"_43":173,"_32":174,"_30":175,"_136":-5,"_41":42,"_40":176,"_138":59,"_38":177,"_13":158,"_34":159,"_35":-5,"_24":25,"_143":-5,"_27":178},{"_43":167,"_32":168,"_30":169,"_136":-5,"_41":42,"_40":170,"_138":59,"_38":171,"_13":158,"_34":159,"_35":-5,"_24":25,"_143":-5,"_27":172},{"_43":161,"_32":162,"_30":163,"_136":-5,"_41":42,"_40":164,"_138":59,"_38":165,"_13":158,"_34":159,"_35":-5,"_24":25,"_143":-5,"_27":166},{"_43":153,"_32":154,"_30":155,"_136":-5,"_41":42,"_40":156,"_138":59,"_38":157,"_13":158,"_34":159,"_35":-5,"_24":25,"_143":-5,"_27":160},{"_43":145,"_32":146,"_30":147,"_136":-5,"_41":42,"_40":148,"_138":59,"_38":149,"_13":150,"_34":20,"_35":151,"_24":25,"_143":-5,"_27":152},{"_43":134,"_32":135,"_30":57,"_136":-5,"_41":42,"_40":137,"_138":59,"_38":139,"_13":140,"_34":141,"_35":142,"_24":25,"_143":45,"_27":144},"7b8f1dd0-d457-4dcb-a21d-6027d270775a","main.tsx","parentId",273,"latest",["D",1781280444493],24,"http","// skillbook — interactive trading-card view of an agent skill repo.\n//\n// Tariq's frame: \"HTML is the new markdown.\" Agents are happy with terse\n// markdown. Humans want richer, more spatial, more alive formats. So the\n// data layer stays markdown (the agent reads it verbatim) and the human\n// view layers HTML on top. Same source, two faces.\n//\n// File layout mirrors a traditional skill repo — see data/loader.ts.\n\nimport { Hono } from \"npm:hono@4\";\nimport {\n parseVal,\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils/index.ts\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { loadSkills } from \"./data/loader.ts\";\n\nconst SLUG_RE = /^[a-z0-9_-]+$/;\nconst FILE_RE = /^[a-z0-9_.-]+$/;\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\nasync function pageHtml() {\n const projectUrl = parseVal().links.self.val;\n return (await readFile(\"/static/index.html\", import.meta.url))\n .replaceAll(\"__VAL_PROJECT_URL__\", projectUrl)\n .replaceAll(\"__VAL_CODE_URL__\", `${projectUrl}/code`);\n}\n\napp.get(\"/\", async (c) => c.html(await pageHtml()));\n\napp.get(\"/static/:file\", (c) => serveFile(`/static/${c.req.param(\"file\")}`, import.meta.url));\n\napp.get(\"/api/skills\", async (c) => c.json(await loadSkills()));\n\napp.get(\"/api/skills/:slug\", async (c) => {\n const slug = c.req.param(\"slug\");\n const skills = await loadSkills();\n const skill = skills.find((s) => s.slug === slug);\n if (!skill) return c.json({ error: \"not found\" }, 404);\n return c.json(skill);\n});\n\napp.get(\"/api/skills/:group/:slug\", async (c) => {\n const slug = `${c.req.param(\"group\")}/${c.req.param(\"slug\")}`;\n const skills = await loadSkills();\n const skill = skills.find((s) => s.slug === slug);\n if (!skill) return c.json({ error: \"not found\" }, 404);\n return c.json(skill);\n});\n\n// Raw-file routes — what an agent would actually read off disk.\napp.get(\"/raw/:slug/SKILL.md\", (c) => {\n const slug = c.req.param(\"slug\");\n if (!SLUG_RE.test(slug)) return c.text(\"bad slug\", 400);\n return serveFile(`/skills/${slug}/SKILL.md`, import.meta.url);\n});\n\napp.get(\"/raw/:slug/memories/:file\", (c) => {\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(slug) || !FILE_RE.test(file) || !file.endsWith(\".md\")) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${slug}/memories/${file}`, import.meta.url);\n});\n\napp.get(\"/raw/:slug/templates/:file\", (c) => {\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(slug) || !FILE_RE.test(file)) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${slug}/templates/${file}`, import.meta.url);\n});\n\napp.get(\"/raw/:slug/scripts/:file\", (c) => {\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(slug) || !FILE_RE.test(file)) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${slug}/scripts/${file}`, import.meta.url);\n});\n\n// Grouped skills live one folder deeper (skills///…) and their\n// slugs contain the slash, e.g. \"valtown/http-endpoints\".\napp.get(\"/raw/:group/:slug/SKILL.md\", (c) => {\n const group = c.req.param(\"group\");\n const slug = c.req.param(\"slug\");\n if (!SLUG_RE.test(group) || !SLUG_RE.test(slug)) return c.text(\"bad slug\", 400);\n return serveFile(`/skills/${group}/${slug}/SKILL.md`, import.meta.url);\n});\n\napp.get(\"/raw/:group/:slug/memories/:file\", (c) => {\n const group = c.req.param(\"group\");\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(group) || !SLUG_RE.test(slug) || !FILE_RE.test(file) || !file.endsWith(\".md\")) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${group}/${slug}/memories/${file}`, import.meta.url);\n});\n\napp.get(\"/raw/:group/:slug/templates/:file\", (c) => {\n const group = c.req.param(\"group\");\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(group) || !SLUG_RE.test(slug) || !FILE_RE.test(file)) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${group}/${slug}/templates/${file}`, import.meta.url);\n});\n\napp.get(\"/raw/:group/:slug/scripts/:file\", (c) => {\n const group = c.req.param(\"group\");\n const slug = c.req.param(\"slug\");\n const file = c.req.param(\"file\");\n if (!SLUG_RE.test(group) || !SLUG_RE.test(slug) || !FILE_RE.test(file)) {\n return c.text(\"bad path\", 400);\n }\n return serveFile(`/skills/${group}/${slug}/scripts/${file}`, import.meta.url);\n});\n\n// Card art. Public requests only read cached blob art or receive a fast SVG fallback.\n// New OpenAI generations require ART_ADMIN_TOKEN.\nconst LEGACY_BLOB_PREFIX = \"skill-binder/art/openai-v2\";\nconst GENERATED_BLOB_PREFIX = \"skillbook/art/openai-webp-v1\";\n\nfunction svgEscape(value: string) { return value.replaceAll(\"&\", \"&\").replaceAll(\"<\", \"<\").replaceAll(\">\", \">\").replaceAll('\"', \""\"); }\nfunction hashString(value: string) { let hash = 2166136261; for (let i = 0; i < value.length; i++) { hash ^= value.charCodeAt(i); hash = Math.imul(hash, 16777619); } return hash >>> 0; }\nfunction imagePrompt(skill: Awaited>[number]) { return [skill.artPrompt, skill.deck === \"Anthropic Skills\" ? \"Shared theme: warm parchment, charcoal ink, muted orange accent, blue and green details, handcrafted codex, atelier light.\" : skill.deck === \"Val Town Skills\" ? \"Shared theme: a lamplit riverside township of small workshops, whitewashed plaster, deep cobalt blue rooftops and accents, warm lantern glow, handcrafted miniature world.\" : \"\", \"Painted collectible fantasy card illustration with traditional brushwork, tactile paper-era art direction.\", \"Avoid modern UI, computer screens, app windows, keyboards, terminal text, logos, typography, letters, numbers, watermarks, borders, and captions.\", \"Square artwork crop, centered subject, strong silhouette.\"].filter(Boolean).join(\" \"); }\nfunction base64ToBytes(value: string) { const binary = atob(value); const bytes = new Uint8Array(binary.length); for (let i = 0; i < binary.length; i++) bytes[i] = binary.charCodeAt(i); return bytes; }\nfunction fallbackArt(skill: Awaited>[number]) { const h = hashString(skill.slug); const a = skill.deck === \"Anthropic Skills\"; const ps = a ? [[\"#faf9f5\",\"#e8e6dc\",\"#d97757\",\"#141413\"],[\"#f5eee1\",\"#b0aea5\",\"#6a9bcc\",\"#141413\"],[\"#f8f1df\",\"#d8c7a3\",\"#788c5d\",\"#2b261f\"]] : skill.deck === \"Val Town Skills\" ? [[\"#f6fbff\",\"#bcd4e6\",\"#2f6fb2\",\"#122a44\"],[\"#eef6fc\",\"#9fc1d8\",\"#1d4e89\",\"#0d1f33\"],[\"#f2f8fd\",\"#c9dcea\",\"#3f7fbf\",\"#16304f\"]] : [[\"#efe2bd\",\"#b9965c\",\"#5f7b4a\",\"#241a12\"],[\"#e8d9b8\",\"#7f9ca9\",\"#d9b76a\",\"#20150d\"],[\"#f0d789\",\"#a3543f\",\"#263f2d\",\"#1b130d\"]]; const p = ps[h % ps.length]; const name = svgEscape(skill.name); const sub = svgEscape(skill.type.replace(/^Skill - /, \"\").replace(/^Skill — /, \"\")); const sig = [\"◆\",\"✦\",\"◇\",\"✧\",\"✶\"][h % 5]; return ''; }\nasync function cachedArt(slug: string) { try { const webp = await blob.get(GENERATED_BLOB_PREFIX + \"/\" + slug + \".webp\"); if (webp?.ok) { const buf = await webp.arrayBuffer(); if (buf.byteLength > 0) return new Response(buf, { headers: { \"content-type\": \"image/webp\", \"cache-control\": \"public, max-age=604800, immutable\" } }); } } catch {} try { const png = await blob.get(LEGACY_BLOB_PREFIX + \"/\" + slug + \".png\"); if (png?.ok) { const buf = await png.arrayBuffer(); if (buf.byteLength > 0) return new Response(buf, { headers: { \"content-type\": \"image/png\", \"cache-control\": \"public, max-age=604800, immutable\" } }); } } catch {} return null; }\nasync function artResponse(c: any, slug: string) { const skills = await loadSkills(); const skill = skills.find((s) => s.slug === slug); if (!skill) return c.text(\"not found\", 404); try { const cached = await cachedArt(slug); if (cached) return cached; } catch {} return c.body(fallbackArt(skill), 200, { \"content-type\": \"image/svg+xml; charset=utf-8\", \"cache-control\": \"public, max-age=300\" }); } // fallback is short-cached so freshly generated art replaces it within minutes, not a week\napp.get(\"/art/:slug\", (c) => { const slug = c.req.param(\"slug\"); if (!SLUG_RE.test(slug)) return c.text(\"bad slug\", 400); return artResponse(c, slug); });\napp.get(\"/art/:group/:slug\", (c) => { const group = c.req.param(\"group\"); const slug = c.req.param(\"slug\"); if (!SLUG_RE.test(group) || !SLUG_RE.test(slug)) return c.text(\"bad slug\", 400); return artResponse(c, `${group}/${slug}`); });\napp.get(\"/admin/generate-art/:slug\", async (c) => { const slug = c.req.param(\"slug\"); if (!SLUG_RE.test(slug)) return c.text(\"bad slug\", 400); const admin = Deno.env.get(\"ART_ADMIN_TOKEN\"); if (!admin || c.req.header(\"x-skillbook-art-admin\") !== admin) return c.text(\"not found\", 404); const skills = await loadSkills(); const skill = skills.find((s) => s.slug === slug); if (!skill) return c.text(\"not found\", 404); const cached = await cachedArt(slug); if (cached && c.req.query(\"force\") !== \"1\") return cached; const OPENAI_API_KEY = Deno.env.get(\"SKILLBOOK_OPENAI_API_KEY\") ?? Deno.env.get(\"OPENAI_API_KEY\"); if (!OPENAI_API_KEY) return c.text(\"art key missing\", 503); const result = await fetch(\"https://api.openai.com/v1/images/generations\", { method: \"POST\", headers: { \"authorization\": \"Bearer \" + OPENAI_API_KEY, \"content-type\": \"application/json\" }, body: JSON.stringify({ model: \"gpt-image-1-mini\", prompt: imagePrompt(skill), size: \"1024x1024\", quality: \"low\", n: 1, output_format: \"webp\" }) }); const json = await result.json(); if (!result.ok) { console.error(\"openai image generation failed\", json); return c.text(\"image generation error\", 502); } const b64 = json?.data?.[0]?.b64_json; if (!b64) return c.text(\"no image in OpenAI response\", 502); const bytes = base64ToBytes(b64); await blob.set(GENERATED_BLOB_PREFIX + \"/\" + slug + \".webp\", bytes); return new Response(bytes, { headers: { \"content-type\": \"image/webp\", \"cache-control\": \"public, max-age=604800, immutable\" } }); });\n\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// Deck pages — every deck is browsable at its own path (/valtown, /anthropic,\n// /skillbook). Registered last; Hono's static-over-dynamic precedence keeps\n// /source, /api, /raw, /art, /static out of its way.\napp.get(\"/:deckSlug\", async (c) => {\n const deckSlug = c.req.param(\"deckSlug\");\n if (!SLUG_RE.test(deckSlug)) return c.text(\"not found\", 404);\n const skills = await loadSkills();\n if (!skills.some((s) => s.deckSlug === deckSlug)) return c.text(\"not found\", 404);\n return c.html(await pageHtml());\n});\n\nexport default app.fetch;\n","label",[135],"ea96cc1a-b3ac-4119-97ea-98fc6f7e8fb2","README.md","6208b168-5925-11f1-9516-ee650bb23af1",279,["D",1781280508714],10,"# skillbook\n\nA trading-card view of an agent skill repo.\n\n**Live:** [/](/) · **Raw JSON the agent reads:** [/api/skills](/api/skills) · **Raw SKILL.md:** [/raw/daily-standup/SKILL.md](/raw/daily-standup/SKILL.md)\n\n## Why\n\nInspired by [Thariq's \"HTML is the new markdown\"](https://x.com/trq212/status/2052811606032269638). Agent skills today are just folders of markdown files — fine for the agent, bleak for the human looking at their own library. The data layer should stay markdown (so the agent picks up edits next session); the human view can be anything HTML lets you build.\n\nSo this val *is* a skill repo, with a card-binder UI on top:\n\n- **Agent face:** read `skills//SKILL.md`, `skills//memories/*.md`, etc. directly. Routes at `/raw/...` expose them with the right content-type.\n- **Human face:** painted fantasy trading cards — front shows what the skill does + how to invoke it + flavor text. Flip to read the full SKILL.md, drag to reorder, search by trigger phrase. Memories sit on the back as stickers; card gems mark setup cost; Lv 7+ cards get the gold foil treatment. Click `open` on the back to open a full-width view at proper reading width. Every deck also gets its own page at `/` (`/valtown`, `/anthropic`, `/skillbook`) — deck headings link there.\n- **Color** is per-card vibe, not a strict color system. Have fun with each card individually.\n- **Card art:** OpenAI image generation from a per-skill prompt, cached in blob storage so each card costs one generation. Set `OPENAI_API_KEY` to enable; without it cards show a framed paper placeholder.\n\n## Layout\n\nThe `skills/` directory mirrors the standard skill-repo shape so an agent could read this val unchanged:\n\n```\nskills/\n _index.json <- binder-only card metadata (color, art prompt, level, deck — cards group into one section per deck)\n daily-standup/\n SKILL.md ← YAML frontmatter (name, description, triggers) + markdown body\n memories/\n feedback_group_by_thread.md ← per-memory file, frontmatter typed\n project_q2_focus.md\n feedback_plain_prose.md\n templates/\n standup_message.md\n blocker_nudge.md\n scripts/ ← optional helper scripts\n inbox-zero/\n pr-review/\n anthropic/ ← imported decks get their own folder;\n xlsx/ the slug is the full path (\"anthropic/xlsx\")\n pdf/\n ...\n valtown/\n http-endpoints/\n sqlite-storage/\n ...\n```\n\nThe only non-standard piece is `skills/_index.json`, which carries the *presentational* metadata the agent doesn't need (mana cost, art prompt, card color, mock level/invocation stats). An agent that doesn't know about it just ignores it.\n\n## Files\n\n- `main.tsx` — Hono server. Page shell, JSON API, raw-file routes per skill, OpenAI art route.\n- `data/loader.ts` — walks `skills/`, parses frontmatter, assembles `Skill[]`.\n- `static/index.html` — page shell + card template + modal markup.\n- `static/client.js` — vanilla JS: fetches, renders, flip / drag / search / shuffle / expand modal.\n\n## Remix it for your own skills\n\n1. Replace the demo `skills//` folders with your own. Use `name`, `description`, `triggers` in `SKILL.md` frontmatter.\n2. Update `skills/_index.json` with one entry per skill (color, art prompt, mana cost, etc.).\n3. Set `OPENAI_API_KEY` if you want art generation.\n4. The agent stays happy — it reads the markdown verbatim. The binder updates on its own.\n\nThe live page includes a Val Town remix banner that points back to this val's project page, where visitors can use Val Town's Remix button.\n\n## Not included on purpose\n\n- No persistence for UI state. Drag-reorder and shuffle are session-only. Adding sqlite or a save-back-to-disk pattern is the v2 move.\n- No editing — stickers are read-only here. The \"edit a memory in place and round-trip to `feedback_*.md`\" interaction would feel great but pulls in conflict resolution.\n- No auth — public template. Fork it and add `oauthMiddleware` if your skill content is 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`).join(\"\")\n : `

none

`;\n\n // Inline style, not the `hidden` utility: the twind CDN shim collapses the\n // class attribute into a hashed class, so classList toggles on utilities no-op.\n modal.style.display = \"flex\";\n document.body.classList.add(\"modal-open\");\n modalPanel.scrollTop = 0;\n}\n\nfunction closeModal() {\n modal.style.display = \"none\";\n document.body.classList.remove(\"modal-open\");\n}\n\nmodalClose.addEventListener(\"click\", closeModal);\nmodal.addEventListener(\"click\", (e) => {\n if (e.target === modal) closeModal();\n});\ndocument.addEventListener(\"keydown\", (e) => {\n if (e.key === \"Escape\" && modal.style.display === \"flex\") closeModal();\n});\n\nfunction render() {\n binder.innerHTML = \"\";\n const q = (search.value || \"\").toLowerCase().trim();\n const pool = deckFilter ? skills.filter((s) => s.deckSlug === deckFilter) : skills;\n const filtered = q\n ? pool.filter((s) =>\n s.triggers.some((t) => t.toLowerCase().includes(q)) ||\n s.name.toLowerCase().includes(q) ||\n s.slug.toLowerCase().includes(q) ||\n s.type.toLowerCase().includes(q) ||\n (s.deck || \"\").toLowerCase().includes(q))\n : pool;\n\n const groups = new Map();\n for (const s of filtered) {\n const deck = s.deck || \"Skillbook\";\n if (!groups.has(deck)) groups.set(deck, []);\n groups.get(deck).push(s);\n }\n\n for (const [deck, deckSkills] of groups) {\n const section = document.createElement(\"section\");\n section.className = \"deck-section\";\n const deckSlug = deckSkills[0].deckSlug || \"\";\n const promo = DECK_PROMOS[deckSlug];\n section.innerHTML = `\n

${deckFilter || !deckSlug ? esc(deck) : `${esc(deck)}`}

\n ${deckSkills.length} cards${deckFilter ? ` · ← all decks` : \"\"}\n

\n ${promo ? `\n ` : \"\"}\n

\n `;\n const copyBtn = section.querySelector(\".copy-cmd\");\n if (copyBtn) {\n copyBtn.addEventListener(\"click\", async () => {\n try {\n await navigator.clipboard.writeText(promo.command);\n copyBtn.textContent = \"copied!\";\n setTimeout(() => { copyBtn.textContent = \"copy\"; }, 1600);\n } catch {\n copyBtn.textContent = \"copy failed\";\n }\n });\n }\n const grid = section.querySelector(\".deck-grid\");\n for (const s of deckSkills) {\n const node = tmpl.content.firstElementChild.cloneNode(true);\n node.dataset.slug = s.slug;\n\n const front = node.querySelector(\".card-front\");\n front.classList.add(COLOR_BG[s.color] || \"card-bg-blue\");\n const inner = node.querySelector(\".card-inner\");\n if (s.level >= 7) inner.classList.add(\"card-foil\");\n\n node.querySelector(\".name\").textContent = s.name;\n node.querySelector(\".mana\").textContent = \"◆\".repeat(s.manaCost);\n // Lazy-load generated art; on error keep the framed paper placeholder.\n const img = node.querySelector(\".art-img\");\n img.alt = `${s.name} card art`;\n img.dataset.src = `/art/${s.slug}?v=2`; // version-bust: pre-fix placeholder responses were immutable-cached for a week\n img.addEventListener(\"load\", () => img.classList.add(\"loaded\"));\n img.addEventListener(\"error\", () => img.remove());\n if (artObserver) artObserver.observe(img);\n else loadArt(img);\n\n node.querySelector(\".type-line\").textContent = s.type;\n node.querySelector(\".description\").textContent = s.description;\n node.querySelector(\".triggers\").innerHTML = `\n Say\n “${esc(s.triggers[0] || s.name)}”\n `;\n node.querySelector(\".flavor\").textContent = `\"${s.flavor}\"`;\n node.querySelector(\".level\").textContent = `Lv ${s.level}`;\n node.querySelector(\".last-used\").textContent = `${s.invocations}× · ${s.lastUsed}`;\n\n // Back face\n node.querySelector(\".open-file\").href = `${codeBase}/skills/${s.slug.split(\"/\").map(encodeURIComponent).join(\"/\")}/SKILL.md`;\n node.querySelector(\".md\").innerHTML = marked.parse(s.body);\n node.querySelector(\".stickers\").innerHTML = s.memories\n .map((m, i) => {\n const blurb = m.description || m.body.split(\"\\n\")[0].slice(0, 140);\n return `\n

\n ${esc(m.title)}\n ${esc(m.kind)}\n

${esc(blurb)}

`;\n })\n .join(\"\");\n const tplList = node.querySelector(\".templates\");\n tplList.innerHTML = s.templates.length\n ? s.templates.map((t) => `

${esc(t)}

`).join(\"\")\n : `

none

`;\n const scrList = node.querySelector(\".scripts\");\n scrList.innerHTML = s.scripts.length\n ? s.scripts.map((t) => `

${esc(t)}

`).join(\"\")\n : `

none

`;\n\n // Flip controls — click anywhere on the card toggles it (links and the\n // expand button excepted; the expanded lightbox never flips the card).\n const flip = () => node.classList.toggle(\"flipped\");\n node.addEventListener(\"click\", (e) => {\n if (e.target.closest(\"a\")) return;\n if (e.target.closest(\".expand-card\")) {\n e.stopPropagation();\n openModal(s.slug);\n return;\n }\n if (e.target.closest(\".flip-back\")) {\n e.stopPropagation();\n node.classList.remove(\"flipped\");\n return;\n }\n flip();\n });\n node.addEventListener(\"keydown\", (e) => {\n if (e.key === \"Enter\" || e.key === \" \") {\n if (e.target !== node) return;\n e.preventDefault();\n flip();\n } else if (e.key === \"Escape\") {\n node.classList.remove(\"flipped\");\n }\n });\n\n // Drag-and-drop reorder\n node.addEventListener(\"dragstart\", (e) => {\n node.classList.add(\"drag-ghost\");\n e.dataTransfer.setData(\"text/plain\", s.slug);\n e.dataTransfer.effectAllowed = \"move\";\n });\n node.addEventListener(\"dragend\", () => node.classList.remove(\"drag-ghost\"));\n node.addEventListener(\"dragover\", (e) => {\n e.preventDefault();\n e.dataTransfer.dropEffect = \"move\";\n node.classList.add(\"drop-target\");\n });\n node.addEventListener(\"dragleave\", () => node.classList.remove(\"drop-target\"));\n node.addEventListener(\"drop\", (e) => {\n e.preventDefault();\n node.classList.remove(\"drop-target\");\n const fromSlug = e.dataTransfer.getData(\"text/plain\");\n if (!fromSlug || fromSlug === s.slug) return;\n const fromIdx = skills.findIndex((x) => x.slug === fromSlug);\n const toIdx = skills.findIndex((x) => x.slug === s.slug);\n if (fromIdx < 0 || toIdx < 0) return;\n const [moved] = skills.splice(fromIdx, 1);\n skills.splice(toIdx, 0, moved);\n render();\n });\n\n grid.appendChild(node);\n }\n binder.appendChild(section);\n }\n}\n\nsearch.addEventListener(\"input\", render);\nshuffleBtn.addEventListener(\"click\", () => {\n for (let i = skills.length - 1; i > 0; i--) {\n const j = Math.floor(Math.random() * (i + 1));\n [skills[i], skills[j]] = [skills[j], skills[i]];\n }\n render();\n});\n\nload();\n",[],[154,359],["D",1779815151548],[329,330,331],[154],"cd7b7b2c-5e95-11f1-9652-1607ee4eb77e","ui.html","69a25d74-5e3a-11f1-ac47-1607ee4eb77e",145,["D",1780413291513],5,"\n\n\n\n\nsprite-builder · skillbook\n\n\n\n

🎨 sprite-builder

feed a reference sheet/tile → new one in the same style · token-gated · skillbook

\n\n Admin token (sent as x-skillbook-art-admin, kept only in this tab)\n \n\n

\n Kind\n \n

\n Model\n \n

\n Quality\n \n

\n Size\n \n

\n\n Reference image URL (optional — defaults to the sprite-animator walk-cycle sheet for characters, AI Town tileset for tiles)\n \n\n Prompt\n \n\n force regenerate (ignore cache)\n\n \n

\n\n

\n \n

\n download raw\n \n open stable URL\n

\n\n\n\n\n",[],[162,372],"ca63e0b4-5e95-11f1-bb0e-1607ee4eb77e","index.tsx","552ffd56-5e3a-11f1-b60a-1607ee4eb77e",144,["D",1780413286369],7,"/** sprite-builder — token-gated, reference-conditioned pixel-art generator.\n *\n * Workflow (per dcm31): feed an existing sprite SHEET → get a new sheet in the\n * same grid/style; feed a tile/tileset → get a new tile. The server returns the\n * RAW model output (no destructive downscale). Slicing a sheet into frames /\n * cropping a tile happens downstream (UI button or the village renderer).\n *\n * Protection reuses skillbook's card-art pattern so the public key can't be\n * spammed: x-skillbook-art-admin must match ART_ADMIN_TOKEN (else 404), uses\n * SKILLBOOK_OPENAI_API_KEY, plus a per-day cap + blob cache. Separate http\n * file — main.tsx is untouched.\n */\nimport { Hono } from \"npm:hono@4\";\nimport { parseVal, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { blob } from \"https://esm.town/v/std/blob\";\n\nconst AITOWN = \"https://raw.githubusercontent.com/a16z-infra/ai-town/main\";\n// sprite-animator is the canonical reference val: its built-in walk-cycle sheet\n// is served live and used as the default CHARACTER reference here. Tiles still\n// use the AI Town tileset. Either is overridable per-request with refUrl.\nconst SPRITE_ANIMATOR = \"https://dcm31--a0f721e05e3711f1b6c61607ee4eb77e.web.val.run\";\nconst REFS: Record = {\n character: `${SPRITE_ANIMATOR}/api/sheets/sample/image`,\n tile: `${AITOWN}/public/assets/gentle-obj.png`,\n};\nconst DEFAULT_PROMPT: Record = {\n character:\n \"Generate a complete character sprite SHEET that matches the reference sheet EXACTLY in grid layout, cell size, number of rows and columns, palette and pixel-art style. Rows are character facings and columns are walk-cycle frames, in the SAME arrangement as the reference. One single new distinct character, one pose per cell, consistent across all cells. Transparent background. No text, labels, numbers, grid lines, or border.\",\n tile:\n \"Generate ONE new top-down map tile in the EXACT pixel-art style and palette of the reference. A single motif filling the frame edge-to-edge on a transparent background so it can be cropped to a square tile. No text, no grid lines, no border.\",\n};\nconst DEFAULT_SIZE: Record = { character: \"1024x1536\", tile: \"1024x1024\" };\nconst ALLOWED_SIZE = [\"1024x1024\", \"1024x1536\", \"1536x1024\", \"auto\"];\nconst DAILY_CAP = 40;\nconst PREFIX = \"skillbook/sprites/v1\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\nconst b64ToBytes = (s: string) => {\n const bin = atob(s); const a = new Uint8Array(bin.length);\n for (let i = 0; i < bin.length; i++) a[i] = bin.charCodeAt(i);\n return a;\n};\nconst bytesToB64 = (bytes: Uint8Array) => {\n let bin = \"\"; for (let i = 0; i < bytes.length; i++) bin += String.fromCharCode(bytes[i]);\n return btoa(bin);\n};\nconst dataUrl = (bytes: Uint8Array) => `data:image/png;base64,${bytesToB64(bytes)}`;\nfunction hash(s: string) {\n let h = 2166136261;\n for (let i = 0; i < s.length; i++) { h ^= s.charCodeAt(i); h = Math.imul(h, 16777619); }\n return (h >>> 0).toString(36);\n}\n\napp.get(\"/\", () => serveFile(\"/sprite-builder/ui.html\", import.meta.url));\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\n// Public read of a generated image (stable URL).\napp.get(\"/sprite/:key\", async (c) => {\n const key = c.req.param(\"key\");\n if (!/^[a-z0-9-]+$/.test(key)) return c.text(\"bad key\", 400);\n try {\n const r = await blob.get(`${PREFIX}/${key}.png`);\n if (r?.ok) {\n const buf = await r.arrayBuffer();\n if (buf.byteLength) {\n return new Response(buf, {\n headers: { \"content-type\": \"image/png\", \"cache-control\": \"public, max-age=604800, immutable\" },\n });\n }\n }\n } catch {}\n return c.text(\"not found\", 404);\n});\n\napp.post(\"/generate\", async (c) => {\n // --- same gate as the card-art route: no/!match token => 404 ---\n const admin = Deno.env.get(\"ART_ADMIN_TOKEN\");\n if (!admin || c.req.header(\"x-skillbook-art-admin\") !== admin) return c.text(\"not found\", 404);\n\n const body = await c.req.json().catch(() => ({} as any));\n const kind = body.kind === \"tile\" ? \"tile\" : \"character\";\n const prompt = (typeof body.prompt === \"string\" && body.prompt.trim()) || DEFAULT_PROMPT[kind];\n const ALLOWED_MODELS = [\"gpt-image-2\", \"gpt-image-1.5\", \"gpt-image-1\", \"gpt-image-1-mini\"];\n const model = ALLOWED_MODELS.includes(body.model) ? body.model : \"gpt-image-1.5\";\n // gpt-image-2 is OpenAI's newest/sharpest, but it can't render transparent\n // backgrounds — sprites need alpha — so gpt-image-1.5 is the default.\n const transparent = model !== \"gpt-image-2\";\n const quality = [\"low\", \"medium\", \"high\"].includes(body.quality) ? body.quality : \"low\";\n const size = ALLOWED_SIZE.includes(body.size) ? body.size : DEFAULT_SIZE[kind];\n const refUrl = typeof body.refUrl === \"string\" && body.refUrl.startsWith(\"https://\") ? body.refUrl : REFS[kind];\n const force = body.force === true;\n\n const key = `${kind}-${hash(model + \"|\" + quality + \"|\" + size + \"|\" + refUrl + \"|\" + prompt)}`;\n\n if (!force) {\n try {\n const raw = await blob.get(`${PREFIX}/${key}.png`);\n if (raw?.ok) {\n const rb = new Uint8Array(await raw.arrayBuffer());\n if (rb.length) return c.json({ ok: true, cached: true, key, kind, model, quality, size, prompt, rawDataUrl: dataUrl(rb), spriteUrl: `./sprite/${key}` });\n }\n } catch {}\n }\n\n // per-day cap (cheap backstop if the token ever leaks)\n const day = new Date().toISOString().slice(0, 10);\n const quotaKey = `${PREFIX}/quota-${day}`;\n let used = 0;\n try { used = ((await blob.getJSON(quotaKey)) as number) || 0; } catch {}\n if (used >= DAILY_CAP) return c.json({ ok: false, error: `daily cap of ${DAILY_CAP} reached` }, 429);\n\n const refResp = await fetch(refUrl);\n if (!refResp.ok) return c.json({ ok: false, error: \"could not fetch reference image\" }, 502);\n const refBytes = new Uint8Array(await refResp.arrayBuffer());\n\n const KEY = Deno.env.get(\"SKILLBOOK_OPENAI_API_KEY\") ?? Deno.env.get(\"OPENAI_API_KEY\");\n if (!KEY) return c.json({ ok: false, error: \"art key missing\" }, 503);\n\n const form = new FormData();\n form.set(\"model\", model);\n form.set(\"prompt\", prompt);\n form.set(\"size\", size);\n form.set(\"quality\", quality);\n if (transparent) form.set(\"background\", \"transparent\");\n form.set(\"output_format\", \"png\");\n form.set(\"image\", new File([refBytes], \"reference.png\", { type: \"image/png\" }));\n\n const r = await fetch(\"https://api.openai.com/v1/images/edits\", {\n method: \"POST\",\n headers: { authorization: \"Bearer \" + KEY },\n body: form,\n });\n const json = await r.json().catch(() => ({} as any));\n if (!r.ok) {\n console.error(\"openai edits failed\", json);\n return c.json({ ok: false, error: json?.error?.message || \"image edit error\" }, 502);\n }\n const outB64 = json?.data?.[0]?.b64_json;\n if (!outB64) return c.json({ ok: false, error: \"no image in OpenAI response\" }, 502);\n const rawBytes = b64ToBytes(outB64);\n\n try {\n await blob.set(`${PREFIX}/${key}.png`, rawBytes);\n await blob.setJSON(quotaKey, used + 1);\n } catch (e) { console.error(\"cache write failed\", e); }\n\n return c.json({ ok: true, cached: false, key, kind, model, quality, size, prompt, rawDataUrl: dataUrl(rawBytes), spriteUrl: `./sprite/${key}` });\n});\n\nexport default app.fetch;\n",[],[162,381],["D",1780374005541],[326,327],[162],"07a09534-a63c-415a-9f29-b567a5fe8c5d","_index.json","4368c0f2-5927-11f1-8ea0-ee650bb23af1",343,["D",1783968523028],43,"{\n \"_comment\": \"Card metadata and deck layout. The canonical agent-readable source remains each skills//SKILL.md.\",\n \"remote-mcp\": {\n \"description\": \"Build a remote MCP server as a Val Town HTTP val — hand-rolled streamable HTTP JSON-RPC (no SDK), three auth patterns (server-secret / BYOK / OAuth), the Claude.ai ?key= URL constraint, and a no-upstream-key test checklist.\",\n \"type\": \"Skill — Craft\",\n \"color\": \"blue\",\n \"art\": \"🔌\",\n \"artPrompt\": \"a small brass junction box on a workbench with many colored cords plugging into one glowing socket, a hand-inked protocol scroll unrolled beside it and a steel-nibbed pen, cool clean lamplight — slate blue and warm parchment palette, painterly arcane engineering, orderly and universal — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 3,\n \"level\": 1,\n \"invocations\": 1,\n \"lastUsed\": \"today\",\n \"flavor\": \"Four methods, one POST, any client.\",\n \"deck\": \"Skillbook\"\n },\n \"pixel-diorama-app\": {\n \"description\": \"Wrap any system in a stevensDemo-style pixel diorama — a little room where a character walks between stations doing the work.\",\n \"type\": \"Skill — Craft\",\n \"color\": \"green\",\n \"art\": \"🏡\",\n \"artPrompt\": \"a craftsman's hands placing a tiny owl figurine inside a handmade wooden diorama box of a miniature library room — tiny bookcases, a desk, a counter, warm lamplight spilling out of the open box onto a cluttered workbench of paints and tweezers — cozy emerald and warm honey palette, miniature worldbuilding, intimate craft — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 4,\n \"level\": 7,\n \"invocations\": 1,\n \"lastUsed\": \"today\",\n \"flavor\": \"Any system becomes a little room where a creature does the work.\",\n \"deck\": \"Skillbook\"\n },\n \"pixel-game-assets\": {\n \"description\": \"Retro game pixel art via gpt-image-1 reference-anchored edits — rooms, chibi sprites, and sheets that match a target style.\",\n \"type\": \"Skill — Craft\",\n \"color\": \"gold\",\n \"art\": \"🧩\",\n \"artPrompt\": \"a jeweler's loupe held over an enchanted parchment where a tiny mosaic owl assembles itself from chunky glowing ceramic tiles, pots of enamel paint and a fine brush nearby on a candlelit workbench — warm amber and forest green palette, meticulous arcane craft, satisfying order — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 3,\n \"level\": 7,\n \"invocations\": 2,\n \"lastUsed\": \"today\",\n \"flavor\": \"Keep the first image's soul. Borrow the second's bones.\",\n \"deck\": \"Skillbook\"\n },\n \"hyperdesigns\": {\n \"description\": \"Living-surface UI: bounded WebGL liquid, plasma, and aurora effects plus click-spray particles that can never wash out to white.\",\n \"type\": \"Skill — Creative\",\n \"color\": \"blue\",\n \"art\": \"🌊\",\n \"artPrompt\": \"a vial of living liquid light poured across an enchanted glass canvas, luminous teal waves rippling inside the frame while a fine spray of droplets is flung from a fingertip, brass dropper and quill on a candlelit workbench — luminous aqua and deep teal palette, fluid, mesmerizing, arcane craft — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 3,\n \"level\": 7,\n \"invocations\": 1,\n \"lastUsed\": \"today\",\n \"flavor\": \"Bounded shaders that never wash out — pour the liquid, then spray on click.\",\n \"deck\": \"Skillbook\"\n },\n \"valtown-mcp-app\": {\n \"description\": \"Render a val's HTTP response as a static visual card inside Claude — a fixed ~885×386 frame, no scroll, no clicks.\",\n \"type\": \"Skill — Lore\",\n \"color\": \"blue\",\n \"art\": \"🖼️\",\n \"artPrompt\": \"an ornate enchanted picture frame on a study wall, a glowing miniature world sealed behind glass that cannot spill past its border, candlelit desk — cool sapphire and pale silver palette, luminous, contained, arcane — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 2,\n \"level\": 6,\n \"invocations\": 1,\n \"lastUsed\": \"today\",\n \"flavor\": \"885 × 386, no scroll, no clicks — paint inside the frame or not at all.\",\n \"deck\": \"Skillbook\"\n },\n \"daily-standup\": {\n \"type\": \"Skill — Routine\",\n \"color\": \"blue\",\n \"art\": \"🌅\",\n \"artPrompt\": \"a peaceful sunrise over a writer's desk by a window, steaming coffee mug, open notebook, soft watercolor light — cool blue and pale silver palette, soft morning mist, serene — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 2,\n \"level\": 5,\n \"invocations\": 38,\n \"lastUsed\": \"2d ago\",\n \"flavor\": \"Yesterday's threads, today's commitments, tomorrow's traps.\",\n \"deck\": \"Skillbook\"\n },\n \"inbox-zero\": {\n \"type\": \"Skill — Maintenance\",\n \"color\": \"white\",\n \"art\": \"✉️\",\n \"artPrompt\": \"a single white origami paper plane resting on an empty wooden letter tray, soft golden window light, minimalist still life — warm cream and antique gold palette, sunlit, hopeful, clean — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 1,\n \"level\": 4,\n \"invocations\": 21,\n \"lastUsed\": \"5d ago\",\n \"flavor\": \"Three folders, no regrets: Reply, Wait, Done.\",\n \"deck\": \"Skillbook\"\n },\n \"pr-review\": {\n \"type\": \"Skill — Action\",\n \"color\": \"red\",\n \"art\": \"⚔️\",\n \"artPrompt\": \"crossed swords planted at a forked stone path on a hilltop at dusk, sparks and ember motes, heroic fantasy painting — deep ember red and amber palette, fiery energy, dynamic motion — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 3,\n \"level\": 7,\n \"invocations\": 64,\n \"lastUsed\": \"yesterday\",\n \"flavor\": \"\\\"Always create NEW commits rather than amending.\\\" — the elder agents\",\n \"deck\": \"Skillbook\"\n },\n \"bug-triage\": {\n \"type\": \"Skill — Action\",\n \"color\": \"black\",\n \"art\": \"🐛\",\n \"artPrompt\": \"a glowing bioluminescent beetle crawling across a dark server rack, dim red emergency light, moody noir illustration — deep indigo and charcoal palette, shadowy, ominous, glowing accents — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 4,\n \"level\": 3,\n \"invocations\": 11,\n \"lastUsed\": \"3w ago\",\n \"flavor\": \"The graph is red. Begin.\",\n \"deck\": \"Skillbook\"\n },\n \"code-cartographer\": {\n \"type\": \"Skill — Lookup\",\n \"color\": \"green\",\n \"art\": \"🗺️\",\n \"artPrompt\": \"an old hand-drawn parchment map of a verdant city with rivers and streets, brass compass and quill resting on it, study desk — lush emerald and moss palette, verdant, organic textures — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 2,\n \"level\": 6,\n \"invocations\": 47,\n \"lastUsed\": \"today\",\n \"flavor\": \"Every codebase is a city. Someone has to keep the map.\",\n \"deck\": \"Skillbook\"\n },\n \"release-notes\": {\n \"type\": \"Skill — Creative\",\n \"color\": \"gold\",\n \"art\": \"📜\",\n \"artPrompt\": \"an ornate unfurled parchment scroll with a feather quill and wax seal, warm candlelight, baroque still life — ornate burnished gold and burgundy palette, regal, decorative — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 3,\n \"level\": 2,\n \"invocations\": 6,\n \"lastUsed\": \"2w ago\",\n \"flavor\": \"Write for the user who reads the changelog, not the engineer who wrote the diff.\",\n \"deck\": \"Skillbook\"\n },\n \"sleek-ui\": {\n \"description\": \"Polished, modern interfaces — disciplined layout, spacing, typography, color, and motion.\",\n \"type\": \"Skill — Lore\",\n \"color\": \"white\",\n \"art\": \"◻️\",\n \"artPrompt\": \"a minimalist drafting table under clean north light, a single white set-square, a fine technical pen, and one perfectly aligned blank sheet — nothing extraneous, cool white and pale grey palette with a whisper of warm shadow, serene, disciplined, refined craft — fantasy trading card illustration, painterly digital art, dramatic cinematic lighting, framed centered composition, square format, no text, no letters, no words, no logos, no UI\",\n \"manaCost\": 2,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Less, but better. When in doubt, remove it.\",\n \"deck\": \"Skillbook\"\n },\n \"anthropic/algorithmic-art\": {\n \"description\": \"Algorithmic art with p5.js — seeded randomness and interactive parameter exploration.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a brass automaton painting constellations on handmade paper inside a candlelit atelier; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 4,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration.\"\n },\n \"anthropic/brand-guidelines\": {\n \"description\": \"Apply Anthropic's official brand colors and typography to any artifact.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"an illuminated style codex with color swatches, carved type specimens, and a careful orange wax seal; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel.\"\n },\n \"anthropic/canvas-design\": {\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a floating design canvas stretched across a wooden frame, ink guides and warm amber drafting light; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Create beautiful visual art in .png and .pdf documents using design philosophy.\"\n },\n \"anthropic/claude-api\": {\n \"description\": \"Build, debug, and optimize Claude API / Anthropic SDK apps — prompt caching, tool use, batching, and model migration.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a library oracle of amber glass, careful tool sigils, and clean channels of light between shelves; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 4,\n \"level\": 7,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Build, debug, and optimize Claude API / Anthropic SDK apps.\"\n },\n \"anthropic/doc-coauthoring\": {\n \"description\": \"A structured workflow for co-authoring documentation — transfer context, iterate, and verify the doc works for readers.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"two quills weaving one parchment draft across a long oak table under soft lantern light; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 8,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Guide users through a structured workflow for co-authoring documentation.\"\n },\n \"anthropic/docx\": {\n \"description\": \"Create, read, edit, and manipulate Word documents — formatting, images, tracked changes, and conversions.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a bound manuscript assembling itself from folded pages, tables, seals, and marginal notes; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 4,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files).\"\n },\n \"anthropic/frontend-design\": {\n \"description\": \"Distinctive, production-grade frontend interfaces — components, pages, dashboards that avoid the generic-AI look.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a stage set of painted interface panels, measured grids, and dramatic warm gallery lighting; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Create distinctive, production-grade frontend interfaces with high design quality.\"\n },\n \"anthropic/internal-comms\": {\n \"description\": \"Write internal communications in the formats the company actually uses — status reports, updates, newsletters, FAQs.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"sealed notes moving through a quiet guild hall, lanterns, notice boards, and patient coordination; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 4,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use.\"\n },\n \"anthropic/mcp-builder\": {\n \"description\": \"Build high-quality MCP servers — well-designed tools that let LLMs work with external services.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a workbench of brass connectors, small protocol gates, and labeled tools glowing with amber runes; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 7,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.\"\n },\n \"anthropic/pdf\": {\n \"description\": \"Everything PDF — extract text and tables, merge, split, rotate, watermark, fill forms, encrypt, OCR.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a stack of vellum folios under a glass lens, pages splitting and rejoining with precise golden threads; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 8,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Use this skill whenever the user wants to do anything with PDF files.\"\n },\n \"anthropic/pptx\": {\n \"description\": \"Anything .pptx — create decks, read and extract content, edit slides, work with templates and speaker notes.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a carousel of miniature presentation scenes on lacquered slides, spotlit in a walnut cabinet; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 4,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Use this skill any time a .pptx file is involved in any way — as input, output, or both.\"\n },\n \"anthropic/skill-creator\": {\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a master scribe binding new spell pages into a growing handbook with careful tabs and ribbons; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 4,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Create new skills, modify and improve existing skills, and measure skill performance.\"\n },\n \"anthropic/slack-gif-creator\": {\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a flipbook of tiny animated moments pinned beside a warm office hearth and message ribbons; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Knowledge and utilities for creating animated GIFs optimized for Slack.\"\n },\n \"anthropic/theme-factory\": {\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a cabinet of pigments, font specimens, and theme vials arranged like an apothecary of styles; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 7,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Toolkit for styling artifacts with a theme.\"\n },\n \"anthropic/web-artifacts-builder\": {\n \"description\": \"Elaborate multi-component claude.ai artifacts with React, Tailwind, and shadcn/ui.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a small theater of web artifacts, layered screens rendered as paper craft and polished brass; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 8,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui\"\n },\n \"anthropic/webapp-testing\": {\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a meticulous testing observatory with tiny browser windows, checkmarks, and calibrated lenses; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 4,\n \"level\": 4,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Toolkit for interacting with and testing local web applications using Playwright.\"\n },\n \"anthropic/xlsx\": {\n \"description\": \"Spreadsheets in and out — read, create, edit, compute formulas, chart, and clean messy tabular data.\",\n \"deck\": \"Anthropic Skills\",\n \"type\": \"Skill - Anthropic\",\n \"color\": \"anthropic\",\n \"art\": \"\",\n \"artPrompt\": \"a ledger grid transformed into a precise counting engine with green ink, rulers, and brass dials; shared Anthropic deck theme, warm parchment, charcoal ink, muted orange accent, blue and green secondary accents, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Use this skill any time a spreadsheet file is the primary input or output.\"\n },\n \"valtown/http-endpoints\": {\n \"description\": \"Build web endpoints, API routes, and webhook receivers — handler signature, Hono, CORS, redirects, and platform limits.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a grand stone gatehouse at the town walls where many roads converge, travelers passing scrolls through an arched service window, lanterns burning over the gate; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 7,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"One default export and the whole world has your URL.\"\n },\n \"valtown/react-ui\": {\n \"description\": \"React UIs in .tsx files with Twind/Tailwind styling — version pinning, view-source links, and what to avoid.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a glazier's workshop where a luminous stained-glass window is assembled pane by pane, fitted glass squares glowing on the bench, sketches pinned above; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Component by component, pane by pane — and always a view-source link.\"\n },\n \"valtown/sqlite-storage\": {\n \"description\": \"Structured, relational storage with std/sqlite — parameterized queries, transactions, val- vs org-scoped databases.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a records hall lined with card-catalog drawers and bound ledgers, a librarian filing a single card by green-shaded lamplight; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 7,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"A real database, one import away. Parameterize everything.\"\n },\n \"valtown/blob-storage\": {\n \"description\": \"Key/value persistence with std/blob — JSON docs, cached responses, uploads, binary assets. Listing, scoping, and limits.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a tidy cellar vault of labeled clay jars and small crates on wooden shelves, a keeper raising a lantern to read one paper tag; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"getJSON returns undefined; get throws. Know your jars.\"\n },\n \"valtown/cron-and-intervals\": {\n \"description\": \"Run vals on a schedule — cron expressions, the UTC rule, and the lastRunAt pattern for processing only what's new.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a tall clocktower over the town square at dawn, exposed brass gears and a swinging bell, birds scattering on the hour; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"The bell rings in UTC, whether anyone is watching or not.\"\n },\n \"valtown/email\": {\n \"description\": \"Send mail via std/email or trigger a val from its own inbox address — handler shape, attachment limits, reply patterns.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a rooftop dovecote post office, messenger pigeons arriving through round windows with sealed letters, rows of sorting pigeonholes; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Every val has an address; mail arrives as a function call.\"\n },\n \"valtown/oauth\": {\n \"description\": \"Zero-config \\\"Log in with Val Town\\\" — oauthMiddleware, getOAuthUserData, and the auto-managed /auth/* routes.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a gatekeeper at a small guarded door inspecting a glowing wax seal on a visitor's letter of passage, a heavy keyring at the belt; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 2,\n \"level\": 5,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Wrap the handler once — the /auth doors hang themselves.\"\n },\n \"valtown/templates\": {\n \"description\": \"Pick the right starter to fork — the official template catalog, when to skip it, and when to remix an existing val.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a printmaker's shop with carved woodblock stamps shaped like tiny houses, fresh blueprint prints hanging to dry on a line; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 1,\n \"level\": 4,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Never start from a blank page — the town keeps blueprints.\"\n },\n \"valtown/third-party-integrations\": {\n \"description\": \"Connect vals to Slack, Stripe, GitHub, Postgres, browser automation, and more — fetch the guide, test, store secrets.\",\n \"deck\": \"Val Town Skills\",\n \"type\": \"Skill — Val Town\",\n \"color\": \"valtown\",\n \"art\": \"\",\n \"artPrompt\": \"a busy river-harbor trading post, foreign ships unloading crates stamped with strange sigils, a harbormaster checking a long manifest; shared Val Town deck theme, a lamplit riverside township of tiny workshops, whitewashed plaster and deep cobalt blue rooftops, warm lantern glow, painterly physical fantasy card art, no text, no logos\",\n \"manaCost\": 3,\n \"level\": 6,\n \"invocations\": 0,\n \"lastUsed\": \"new\",\n \"flavor\": \"Fetch the guide before you sail; stow the secrets when you dock.\"\n }\n}\n",[],[168,393],"5adcb4ce-5e99-11f1-a034-1607ee4eb77e","5adcb56e-5e99-11f1-a034-1607ee4eb77e","fd668265-bc64-4e47-a723-83718aed95d2",146,["D",1780414817247],"---\nname: valtown-mcp-app\ndescription: Render a val's HTTP response as a visual card inside Claude via the Val Town MCP — a fixed ~885x386 frame, static and non-interactive, clipped to content height\ntriggers:\n - render a val in chat\n - val town mcp app\n - show this val inline\n - fetch val endpoint render\n - why is my val render blank\n - my val render is getting clipped\n---\n\n# Val Town MCP — rendering a val inline in Claude\n\nThe Val Town MCP can display a val's HTTP response as a visual widget inside a Claude conversation. Treat the output as a **static poster in a fixed, no-scroll frame** — not a live web page, and not interactive.\n\n## What triggers a render\n\n- A render only happens when you call **`fetch_val_endpoint`**. The `run: { kind: \"fetch_val_endpoint\" }` option on `update_file` / `replace_in_file` counts, because it calls the same thing.\n- `create_file`, `update_file`, `list_files`, etc. show a *file / diff* widget, **not** the rendered HTML. Don't expect them to preview a page.\n- `fetch_val_endpoint` also returns the response (status + headers + body) to you as text, so it doubles as your inspect/debug tool. The endpoint is public.\n\n## The frame (measured)\n\n- Fixed size **≈ 885 × 386 px** — wide and short, aspect ≈ 2.3:1. It can vary slightly with client width, so design with a little margin.\n- **No scroll.** The iframe is sized to the document's *content height* and then clipped inside the fixed frame. Anything past ~386px tall is **cut off at the bottom** — there is no scrollbar.\n- You don't control the frame height from inside it, so you can't vertically center to it. Top-aligned content with empty space below is fine; overflow is not.\n\n## Hard rules (break these and the render fails)\n\n- **Never use `height:100vh`, `height:100%` on html/body, or `position:fixed` for layout.** Because the iframe is content-sized, viewport-relative heights resolve to ~0 and the whole thing renders **blank**. Use **normal document flow** with `auto` / explicit `px` heights.\n- **It is not interactive.** Clicks do not toggle CSS `:checked`, fire handlers, or submit forms — a click appears to **open / navigate to the val** instead. So:\n - No tabs, accordions, modals, hover-to-reveal, or anything that needs a click or tap.\n - Don't rely on `\n```\n\nThen use Tailwind classes directly in JSX:\n\n```tsx\n

Hello

\n```\n\nAvoid inline `\n\n\n

\n \n

\n \n\n\n```\n\n**CRITICAL**: This is a single artifact. No external files, no imports (except p5.js CDN). Everything inline.\n\n**4. Implementation Details - BUILD THE SIDEBAR**\n\nThe sidebar structure:\n\n**1. Seed (FIXED)** - Always include exactly as shown:\n- Seed display\n- Prev/Next/Random/Jump buttons\n\n**2. Parameters (VARIABLE)** - Create controls for the art:\n```html\n

\n Parameter Name\n \n ...\n

\n```\nAdd as many control-group divs as there are parameters.\n\n**3. Colors (OPTIONAL/VARIABLE)** - Include if the art needs adjustable colors:\n- Add color pickers if users should control palette\n- Skip this section if the art uses fixed colors\n- Skip if the art is monochrome\n\n**4. Actions (FIXED)** - Always include exactly as shown:\n- Regenerate button\n- Reset button\n- Download PNG button\n\n**Requirements**:\n- Seed controls must work (prev/next/random/jump/display)\n- All parameters must have UI controls\n- Regenerate, Reset, Download buttons must work\n- Keep Anthropic branding (UI styling, not art colors)\n\n### USING THE ARTIFACT\n\nThe HTML artifact works immediately:\n1. **In claude.ai**: Displayed as an interactive artifact - runs instantly\n2. **As a file**: Save and open in any browser - no server needed\n3. **Sharing**: Send the HTML file - it's completely self-contained\n\n---\n\n## VARIATIONS & EXPLORATION\n\nThe artifact includes seed navigation by default (prev/next/random buttons), allowing users to explore variations without creating multiple files. If the user wants specific variations highlighted:\n\n- Include seed presets (buttons for \"Variation 1: Seed 42\", \"Variation 2: Seed 127\", etc.)\n- Add a \"Gallery Mode\" that shows thumbnails of multiple seeds side-by-side\n- All within the same single artifact\n\nThis is like creating a series of prints from the same plate - the algorithm is consistent, but each seed reveals different facets of its potential. The interactive nature means users discover their own favorites by exploring the seed space.\n\n---\n\n## THE CREATIVE PROCESS\n\n**User request** → **Algorithmic philosophy** → **Implementation**\n\nEach request is unique. The process involves:\n\n1. **Interpret the user's intent** - What aesthetic is being sought?\n2. **Create an algorithmic philosophy** (4-6 paragraphs) describing the computational approach\n3. **Implement it in code** - Build the algorithm that expresses this philosophy\n4. **Design appropriate parameters** - What should be tunable?\n5. **Build matching UI controls** - Sliders/inputs for those parameters\n\n**The constants**:\n- Anthropic branding (colors, fonts, layout)\n- Seed navigation (always present)\n- Self-contained HTML artifact\n\n**Everything else is variable**:\n- The algorithm itself\n- The parameters\n- The UI controls\n- The visual outcome\n\nTo achieve the best results, trust creativity and let the philosophy guide the implementation.\n\n---\n\n## RESOURCES\n\nThis skill includes helpful templates and documentation:\n\n- **templates/viewer.html**: REQUIRED STARTING POINT for all HTML artifacts.\n - This is the foundation - contains the exact structure and Anthropic branding\n - **Keep unchanged**: Layout structure, sidebar organization, Anthropic colors/fonts, seed controls, action buttons\n - **Replace**: The p5.js algorithm, parameter definitions, and UI controls in Parameters section\n - The extensive comments in the file mark exactly what to keep vs replace\n\n- **templates/generator_template.js**: Reference for p5.js best practices and code structure principles.\n - Shows how to organize parameters, use seeded randomness, structure classes\n - NOT a pattern menu - use these principles to build unique algorithms\n - Embed algorithms inline in the HTML artifact (don't create separate .js files)\n\n**Critical reminder**:\n- The **template is the STARTING POINT**, not inspiration\n- The **algorithm is where to create** something unique\n- Don't copy the flow field example - build what the philosophy demands\n- But DO keep the exact UI structure and Anthropic branding from the template",[],[168,999,1225,33],"algorithmic-art","043c08ea-2631-4f1e-b7ff-131a95ef7924",207,["D",1781279544411],[204],[168,999,1225],"50da6a59-8690-4e72-8c1c-de2b4f8ffc12",204,["D",1781279526503],[203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,233,235],[168,999],["D",1779816059463],[202,237,246,254,263,265,274,276,278,290,299,301,303,322,324],[168],"8339cde9-ab09-41e2-9bf1-26f705c2a3a0","generate-missing-art.ts","58daf112-64f8-11f1-b95b-1607ee4eb77e",199,["D",1781279020552],"// Generate card art for every skill that has none cached (the cards that fall\n// back to the generic SVG placeholder). Run this file directly; it does up to\n// MAX_PER_RUN generations per execution to stay inside the run timeout —\n// just run it again until it reports nothing missing.\n//\n// Uses gpt-image-1 at medium quality (richer than the route's mini/low — these\n// are the cards Charlie actually looks at). Output lands in the same blob\n// prefix the /art/:slug route serves first.\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { loadSkills } from \"../data/loader.ts\";\n\nconst MAX_PER_RUN = 3;\nconst FORCE: string[] = []; // slugs to regenerate even if cached\nconst GENERATED_BLOB_PREFIX = \"skillbook/art/openai-webp-v1\";\nconst LEGACY_BLOB_PREFIX = \"skill-binder/art/openai-v2\";\n\n// Mirrors imagePrompt() in main.tsx\nfunction imagePrompt(skill: { artPrompt: string; deck?: string }) {\n return [\n skill.artPrompt,\n skill.deck === \"Anthropic Skills\"\n ? \"Shared theme: warm parchment, charcoal ink, muted orange accent, blue and green details, handcrafted codex, atelier light.\"\n : skill.deck === \"Val Town Skills\"\n ? \"Shared theme: a lamplit riverside township of small workshops, whitewashed plaster, deep cobalt blue rooftops and accents, warm lantern glow, handcrafted miniature world.\"\n : \"\",\n \"Painted collectible fantasy card illustration with traditional brushwork, tactile paper-era art direction.\",\n \"Avoid modern UI, computer screens, app windows, keyboards, terminal text, logos, typography, letters, numbers, watermarks, borders, and captions.\",\n \"Square artwork crop, centered subject, strong silhouette.\",\n ].filter(Boolean).join(\" \");\n}\n\nasync function hasCachedArt(slug: string): Promise {\n try {\n const webp = await blob.get(`${GENERATED_BLOB_PREFIX}/${slug}.webp`);\n if (webp?.ok) return true;\n } catch {}\n try {\n const png = await blob.get(`${LEGACY_BLOB_PREFIX}/${slug}.png`);\n if (png?.ok) return true;\n } catch {}\n return false;\n}\n\nconst OPENAI_API_KEY = Deno.env.get(\"SKILLBOOK_OPENAI_API_KEY\") ?? Deno.env.get(\"OPENAI_API_KEY\");\nif (!OPENAI_API_KEY) throw new Error(\"no OpenAI key on this val\");\n\nconst skills = await loadSkills();\nconst missing: string[] = [];\nfor (const s of skills) {\n if (FORCE.includes(s.slug)) { missing.push(s.slug); continue; }\n if (!s.artPrompt) { console.log(`SKIP ${s.slug}: no artPrompt in _index.json`); continue; }\n if (!(await hasCachedArt(s.slug))) missing.push(s.slug);\n}\n\nconsole.log(`missing art: ${missing.length ? missing.join(\", \") : \"(none — all cards illustrated)\"}`);\nconst batch = missing.slice(0, MAX_PER_RUN);\n\nfor (const slug of batch) {\n const skill = skills.find((s) => s.slug === slug)!;\n console.log(`generating ${slug}...`);\n const t0 = Date.now();\n const result = await fetch(\"https://api.openai.com/v1/images/generations\", {\n method: \"POST\",\n headers: { authorization: `Bearer ${OPENAI_API_KEY}`, \"content-type\": \"application/json\" },\n body: JSON.stringify({\n model: \"gpt-image-1\",\n prompt: imagePrompt(skill),\n size: \"1024x1024\",\n quality: \"medium\",\n n: 1,\n output_format: \"webp\",\n }),\n });\n const json = await result.json();\n if (!result.ok) {\n console.error(`FAILED ${slug}:`, JSON.stringify(json?.error ?? json).slice(0, 300));\n continue;\n }\n const b64 = json?.data?.[0]?.b64_json;\n if (!b64) { console.error(`FAILED ${slug}: no image in response`); continue; }\n const bytes = Uint8Array.from(atob(b64), (c) => c.charCodeAt(0));\n await blob.set(`${GENERATED_BLOB_PREFIX}/${slug}.webp`, bytes);\n console.log(`stored ${slug}.webp (${bytes.length} bytes, ${((Date.now() - t0) / 1000).toFixed(1)}s)`);\n}\n\nconst remaining = missing.slice(MAX_PER_RUN);\nconsole.log(remaining.length ? `RUN AGAIN — still missing: ${remaining.join(\", \")}` : \"done — nothing left to generate\");\n",[],[174,1240],"189cece6-f1f0-44f7-a118-8bc3ad54eaf2","generate-farm-log-art.ts","0a88ec40-684e-11f1-b208-1607ee4eb77e",341,["D",1781481981849],"// One-off: generate farm-log teaser art with gpt-image-1 (skillbook's existing\n// image pipeline + key) and write each image straight into the ACCOUNT-GLOBAL\n// blob keyspace that dcm31/personal-site already serves at /i/:id.\n//\n// personal-site's serveImage() reads blob `rehost-img/` as JSON\n// { contentType, b64 } — so we store in exactly that shape and the image is\n// instantly live at https://charliemolthrop.com/i/ with no change to that val.\n//\n// Re-runnable: already-generated ids are skipped, so a run that times out part\n// way can just be run again to finish the rest.\nimport { blob } from \"https://esm.town/v/std/blob\";\n\nconst OPENAI_API_KEY = Deno.env.get(\"SKILLBOOK_OPENAI_API_KEY\") ?? Deno.env.get(\"OPENAI_API_KEY\");\nif (!OPENAI_API_KEY) throw new Error(\"no OpenAI key on this val\");\n\nconst NEG =\n \"No text, letters, numbers, logos, UI, app windows, borders, captions, or watermarks. Square crop, centered subject.\";\n\n// Same subject across all four so the only variable is the art STYLE — Charlie\n// picks the look he wants, then we render the full set in it.\nconst SUBJECT =\n \"a tiered homemade hydroponic 'bottle laboratory': a multi-shelf rack crowded with repurposed clear glass and plastic bottles and jars of different sizes, each one sprouting a different leafy herb or vegetable cutting — basil, cilantro, mint, lettuce, green onion — with pale roots visible in the water, plus one small bright flower in a wine bottle, a cozy indoor windowsill garden\";\n\nconst JOBS: { id: string; prompt: string }[] = [\n {\n id: \"farm-style-painted\",\n prompt: `Painted naturalist botanical collector's card illustration of ${SUBJECT}. Traditional watercolor and ink, warm afternoon window light, soft cream background, tactile paper-era art direction. ${NEG}`,\n },\n {\n id: \"farm-style-pixel\",\n prompt: `16-bit pixel-art video-game sprite scene of ${SUBJECT}. Crisp limited-palette pixels, clean readable shapes, gentle dithering, flat soft-color background like a cozy farming game. ${NEG}`,\n },\n {\n id: \"farm-style-diagram\",\n prompt: `Vintage scientific botanical plate and herbarium diagram of ${SUBJECT}. Muted sepia ink linework on aged parchment, restrained naturalist illustration, delicate hatching, antique field-guide aesthetic. ${NEG}`,\n },\n {\n id: \"farm-style-photo\",\n prompt: `Realistic close-up macro photograph of ${SUBJECT}. Natural soft daylight, shallow depth of field, true-to-life colors and textures, homey documentary feel. ${NEG}`,\n },\n];\n\nasync function alreadyDone(id: string): Promise {\n try {\n const v = await blob.getJSON(`rehost-img/${id}`);\n return !!(v && (v as any).b64);\n } catch {\n return false;\n }\n}\n\nconst results: string[] = [];\nfor (const job of JOBS) {\n if (await alreadyDone(job.id)) {\n console.log(`skip ${job.id} (already cached)`);\n results.push(`/i/${job.id}`);\n continue;\n }\n console.log(`generating ${job.id}...`);\n const t0 = Date.now();\n const res = await fetch(\"https://api.openai.com/v1/images/generations\", {\n method: \"POST\",\n headers: { authorization: `Bearer ${OPENAI_API_KEY}`, \"content-type\": \"application/json\" },\n body: JSON.stringify({\n model: \"gpt-image-1\",\n prompt: job.prompt,\n size: \"1024x1024\",\n quality: \"medium\",\n n: 1,\n output_format: \"webp\",\n }),\n });\n const json = await res.json();\n if (!res.ok) {\n console.error(`FAILED ${job.id}:`, JSON.stringify(json?.error ?? json).slice(0, 300));\n continue;\n }\n const b64 = json?.data?.[0]?.b64_json;\n if (!b64) {\n console.error(`FAILED ${job.id}: no image in response`);\n continue;\n }\n // serveImage() does b64ToBytes(stored.b64), so store the base64 verbatim.\n await blob.setJSON(`rehost-img/${job.id}`, { contentType: \"image/webp\", b64 });\n console.log(`stored ${job.id} (${((Date.now() - t0) / 1000).toFixed(1)}s) -> /i/${job.id}`);\n results.push(`/i/${job.id}`);\n}\n\nconsole.log(\"DONE:\", results.join(\" \"));\n",[],[174,1248],["D",1781115323039],[199,200],[174],"2a29d505-98b2-4538-9c09-6d32020c797c","loader.ts","ae9857de-5927-11f1-8d94-ee650bb23af1",303,["D",1781284443194],"// Loads skills off disk by walking the `skills/` directory.\n//\n// Layout (a standard \"skill repo\" shape, agent-readable as-is):\n//\n// skills/\n// _index.json ← binder-only card metadata\n// /\n// SKILL.md ← YAML frontmatter + markdown body\n// memories/_.md ← per-memory files (frontmatter typed)\n// templates/.md\n// scripts/.ts\n// // ← grouped decks (anthropic/, valtown/) sit one\n// folder deeper; their slug keeps the slash\n\nimport { listFilesByPath, readFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { parse as parseYaml } from \"https://esm.sh/yaml@2.5.0\";\n\nexport type SkillColor = \"blue\" | \"white\" | \"black\" | \"red\" | \"green\" | \"gold\" | \"anthropic\" | \"valtown\";\n\nexport interface Memory {\n kind: \"feedback\" | \"project\" | \"reference\" | \"user\";\n slug: string;\n title: string;\n description?: string;\n body: string;\n}\n\nexport interface Skill {\n slug: string;\n name: string;\n description: string;\n triggers: string[];\n body: string;\n\n deck: string;\n deckSlug: string;\n type: string;\n color: SkillColor;\n art: string;\n artPrompt: string;\n manaCost: number;\n level: number;\n invocations: number;\n lastUsed: string;\n flavor: string;\n\n memories: Memory[];\n templates: string[];\n scripts: string[];\n}\n\ninterface CardMeta {\n deck?: string;\n description?: string; // short card-front blurb; the long agent-facing one stays in SKILL.md frontmatter\n type: string;\n color: SkillColor;\n art: string;\n artPrompt: string;\n manaCost: number;\n level: number;\n invocations: number;\n lastUsed: string;\n flavor: string;\n}\n\ninterface FileEntry {\n path: string;\n name?: string;\n type?: string;\n}\n\nlet cached: Skill[] | null = null;\n\nexport async function loadSkills(): Promise {\n if (cached) return cached;\n const indexText = await readFile(\"/skills/_index.json\", import.meta.url);\n const index = JSON.parse(indexText) as Record;\n\n // One recursive listing under skills/ — everything in one round-trip.\n const allFiles = (await listFilesByPath(\"skills\", import.meta.url)) as FileEntry[];\n\n const order = Object.keys(index).filter((k) => !k.startsWith(\"_\"));\n const skills = await Promise.all(\n order.map((slug) => loadOne(slug, index[slug] as CardMeta, allFiles)),\n );\n stampDeckSlugs(skills);\n cached = skills;\n return skills;\n}\n\n// A deck's URL slug: the shared group folder when every card in the deck lives\n// in one (e.g. \"valtown\", \"anthropic\"), else the slugified deck name (\"skillbook\").\nfunction stampDeckSlugs(skills: Skill[]) {\n const shared = new Map();\n for (const s of skills) {\n const group = s.slug.includes(\"/\") ? s.slug.split(\"/\")[0] : null;\n shared.set(s.deck, shared.has(s.deck) && shared.get(s.deck) !== group ? null : group);\n }\n for (const s of skills) {\n s.deckSlug = shared.get(s.deck) ??\n s.deck.toLowerCase().replace(/[^a-z0-9]+/g, \"-\").replace(/^-+|-+$/g, \"\");\n }\n}\n\nasync function loadOne(slug: string, meta: CardMeta, allFiles: FileEntry[]): Promise {\n const prefix = `skills/${slug}/`;\n const filesForSkill = allFiles.filter((f) => f.path?.startsWith(prefix));\n\n const raw = await readFile(`/skills/${slug}/SKILL.md`, import.meta.url);\n // body = markdown only — the YAML frontmatter renders as garbage if fed to marked.\n // Agents who want the verbatim file read /raw//SKILL.md.\n const { frontmatter, body } = splitFrontmatter(raw);\n\n const memoryFiles = filesForSkill.filter(\n (f) => f.path.startsWith(`${prefix}memories/`) && f.path.endsWith(\".md\"),\n );\n const memories = await Promise.all(memoryFiles.map(loadMemory));\n\n const templates = filesForSkill\n .filter((f) => f.path.startsWith(`${prefix}templates/`) && f.type !== \"directory\")\n .map((f) => basename(f.path))\n .sort();\n const scripts = filesForSkill\n .filter((f) => f.path.startsWith(`${prefix}scripts/`) && f.type !== \"directory\")\n .map((f) => basename(f.path))\n .sort();\n\n return {\n slug,\n name: String(frontmatter.name ?? slug),\n description: String(meta.description ?? frontmatter.description ?? \"\"),\n triggers: Array.isArray(frontmatter.triggers) ? frontmatter.triggers.map(String) : [],\n body: body.trim(),\n deck: meta.deck ?? \"Skillbook\",\n deckSlug: \"\", // stamped by stampDeckSlugs once every deck is known\n type: meta.type,\n color: meta.color,\n art: meta.art,\n artPrompt: meta.artPrompt,\n manaCost: meta.manaCost,\n level: meta.level,\n invocations: meta.invocations,\n lastUsed: meta.lastUsed,\n flavor: meta.flavor,\n memories,\n templates,\n scripts,\n };\n}\n\nasync function loadMemory(f: FileEntry): Promise {\n const text = await readFile(`/${f.path}`, import.meta.url);\n const { frontmatter, body } = splitFrontmatter(text);\n const name = basename(f.path);\n const kind = resolveKind(name, frontmatter);\n const memorySlug = String(frontmatter.name ?? name.replace(/\\.md$/, \"\"));\n return {\n kind,\n slug: memorySlug,\n title: humanize(memorySlug),\n description: frontmatter.description ? String(frontmatter.description) : undefined,\n body: body.trim(),\n };\n}\n\nfunction basename(path: string): string {\n return path.split(\"/\").pop() ?? path;\n}\n\nfunction splitFrontmatter(md: string): { frontmatter: Record; body: string } {\n const m = md.match(/^---\\r?\\n([\\s\\S]*?)\\r?\\n---\\r?\\n?([\\s\\S]*)$/);\n if (!m) return { frontmatter: {}, body: md };\n try {\n const fm = parseYaml(m[1]) ?? {};\n return { frontmatter: fm, body: m[2] };\n } catch {\n return { frontmatter: {}, body: m[2] };\n }\n}\n\nfunction resolveKind(filename: string, fm: Record): Memory[\"kind\"] {\n const declared = fm?.metadata?.type ?? fm?.type;\n if (declared && [\"feedback\", \"project\", \"reference\", \"user\"].includes(declared)) {\n return declared as Memory[\"kind\"];\n }\n const base = filename.toLowerCase();\n if (base.startsWith(\"feedback\")) return \"feedback\";\n if (base.startsWith(\"project\")) return \"project\";\n if (base.startsWith(\"reference\")) return \"reference\";\n if (base.startsWith(\"user\")) return \"user\";\n return \"feedback\";\n}\n\nfunction humanize(slug: string): string {\n return slug.replace(/[-_]/g, \" \").replace(/\\b\\w/g, (c) => c.toUpperCase());\n}\n",[],[180,1259],["D",1779814995869],[197],[180],["D",1779814930341],{"_96":95,"_104":100},{"_96":95,"_97":98,"_99":100,"_18":55,"_101":102,"_103":25},{"_13":14,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"ctx",{"_79":-5,"_124":1306,"_1307":1308,"_1309":1310,"_1311":25,"_1312":25,"_1313":25,"_1314":59,"_1315":-5,"_1316":-7,"_1317":-7,"_1318":158,"_1319":25,"_1320":25,"_1321":-5,"_1322":25,"_1323":25,"_1324":25,"_1325":-5},"ENV",{"_1277":1278,"_1279":1280,"_1281":86,"_1282":1283,"_1284":1285,"_1286":1287,"_1288":1289,"_1290":1291,"_1292":1293,"_1294":1295,"_1296":1297,"_1298":1299,"_1300":1301,"_1302":1303,"_1304":1305},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Memories (stickers)

Templates

Scripts

Memories

Files

${deckFilter || !deckSlug ? esc(deck) : `${esc(deck)}`}

🎨 sprite-builder

Hello

Diff · v345