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Use when making stevensDemo-style dashboard art, restyling a character into overworld sprites, or any \"tiny pixel world\" asset ask.\ntriggers:\n - \"/pixel-game-assets\"\n - \"make sprites\"\n - \"pixel art assets\"\n - \"sprite sheet\"\n - \"retro game art\"\n - \"stevens style art\"\n---\n\n# Pixel Game Assets (gpt-image-1, Geoff-Litt style)\n\n## What This Skill Does\n\nProduces game-ready retro pixel art that actually matches a target style, by\n**anchoring every generation on reference images** instead of describing style\nin words alone. Proven on the Owl's Library\n(`dcm31/ai-village` → `owl-librarian/`), which restyled a detailed ChatGPT owl\ninto Pokémon-overworld sprites matching Geoff Litt's\n[stevensDemo](https://www.val.town/x/geoffreylitt/stevensDemo) art.\n\n**The one-sentence trick:** images.edit with [identity ref, style ref(s)] +\n\"keep the design of the first image, match the chunkiness/outlines/proportions\nof the second\" beats any text-only prompt.\n\n## The Working Reference Implementation\n\n`dcm31/ai-village/owl-librarian/assets/` —\n\n- `setup-refs.ts` — pull style-anchor images (public URLs) into blob storage `…/ref/*`\n- `convert-refs.ts` — re-encode every ref as RGBA PNG via imagescript (see Failure Modes)\n- `generate.ts` — jobs map `{prompt, refs, size, background}`; set `ONLY=[\"job\"]`, run, output → blob `…/assets/.png`\n- backend serves `/api/images/:filename` from blob → curl locally → look at it → tune → rerun\n\nCopy that folder's pattern wholesale for a new project. Refs the API can't\nfetch by URL (local files) get uploaded via a **temporary nonce-gated PUT\nendpoint that you delete immediately after** (val code is public!).\n\n## The Style Recipe (paste-and-adapt)\n\nThe STYLE string that reproduced Geoff's sprite look:\n\n> very chunky 16-bit pixel art, GBA-era Pokemon overworld NPC style: the\n> character reads as roughly 24x24 logical pixels, thick dark outline around\n> every shape, flat colors with at most 3 shades per material, big-head chibi\n> proportions where the head is half the total height\n\nPer-asset prompt skeletons that worked:\n\n- **Character sprite sheet** (one call = consistent poses): \"Create a 2x2\n sprite sheet of ONE character in 4 poses on a fully transparent background.\n The character is [identity description] — keep the design from the first\n reference image. Render as [STYLE]; match the pixel chunkiness, outline\n weight and proportions of the [style] reference sprites exactly. Grid\n layout, each pose centered in its quadrant, all four the exact same scale:\n top-left: …, top-right: …, bottom-left: …, bottom-right: …. No labels, no\n grid lines, no ground shadows, nothing else.\" → display one quadrant at a\n time with CSS `background-size: 200%` + `background-position` (no slicing).\n- **Room/scene remix**: \"Recreate the first reference image's exact\n composition and pixel-art style, but… KEEP: [list everything to preserve].\n CHANGE: [the re-theme, naming each object and where it goes, sized 'BIG and\n chunky like the reference furniture']. Absolutely no letters or words\n anywhere in the image.\"\n- **Companion character**: style ref only + a tight text identity (\"tiny boxy\n robot courier, mint-green rounded body, single cyan visor eye, antenna with\n amber tip, brown satchel\").\n- **Follow-up scenes** (e.g. the full interior of a building you already\n generated): anchor on YOUR OWN accepted output as the first reference —\n palette, outline weight, and furniture scale carry over, so \"now show the\n whole interior, like a Pokemon building interior, no outdoors anywhere\"\n lands in one or two rolls. Spell out the floor plan wall by wall and add\n \"the room is empty of people and animals\".\n\nSettings: `model: gpt-image-1`, `quality: \"medium\"` is the sweet spot\n(~$0.04, 20–40s, Geoff-grade output); `background: \"transparent\"` for\nsprites, `\"opaque\"` for scenes; 1024x1024.\n\n## Failure Modes → Fixes (all hit in practice)\n\n| Symptom | Cause | Fix |\n|---|---|---|\n| `400 Invalid image file or mode for image N` | palette-mode PNG or JPEG bytes with .png name in refs | re-encode every ref as RGBA PNG (`convert-refs.ts`, imagescript `decode→encode`) |\n| Sign/label text comes out garbled (\"QUIET BOSER\") | pixel-art text generation is unreliable | never request words; ask for an icon plaque instead, or overlay text in CSS |\n| Character body fragments (floating head/antenna) | pose change too far from ref (esp. side profiles of boxy shapes) | \"must stay one solid connected character with the head firmly attached\"; name each part as attached; prefer front-facing step pose over profile |\n| Poses drift off-model across calls | each call re-imagines | generate all poses in ONE sheet call, or feed the accepted pose back as ref for the next |\n| Scene hotspots misaligned in app | coordinates estimated off the raw image | calibrate against the live render (screenshot, measure, convert: css = (screen − origin)/scale) |\n\n## Val Town Gotchas (the pipeline side)\n\n- `blob.get()` returns a **Response** — `await res.arrayBuffer()`, never wrap it in another Response.\n- `std/sqlite` wants `execute({sql, args})` (positional args are silently dropped) and returns **positional array rows**.\n- Frontend value-imports from a `shared/` folder need their own serve route — type-only imports vanish at transpile, value imports 404 unless `/shared/*` is served.\n- Generation runs **on the val** (`run_file`) so the OPENAI_API_KEY never leaves Val Town env.\n\n## Verify Loop (non-negotiable)\n\n1. Generate → 2. curl the serving endpoint to a local file → 3. actually look\nat it (at intended display size — 64px sprites hide flaws at full res) → 4.\ntune ONE thing in the prompt → rerun just that job (`ONLY`). Two or three\nrounds per asset is normal; the sheet landed in one, the walking robot took\nthree.\n\n## Anti-Goals\n\n- Don't hand-draw or SVG-fake pixel art. Don't prompt style by adjectives\n alone when a reference image exists. Don't batch many jobs in one run while\n iterating (timeouts + wasted spend). Don't leave upload endpoints or unused\n refs behind.\n",["D",1781115180530],"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",{"_102":101,"_110":106},"org",{"_102":101,"_103":104,"_105":106,"_18":60,"_107":108,"_109":25},"branch",{"_13":91,"_32":92,"_48":41,"_93":49,"_94":-5,"_95":-5,"_96":-5,"_97":-5,"_98":-5,"_99":50,"_100":101},"isOwned",345,"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=1789588351&sig=539fc3fe3d00f2b48337f72e1544c8e4fc740c54712458af70c3486633960bc5","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_48":49,"_32":50,"_37":1133,"_52":-5,"_53":25,"_54":55,"_56":55,"_57":58,"_59":-5,"_18":60,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":68,"_69":70,"_71":-5,"_72":-5,"_73":-5,"_74":-5,"_75":76,"_77":76,"_78":79,"_80":79,"_81":79,"_82":76,"_83":76,"_84":1134,"_86":1135,"_88":1136,"_90":25},"tree",[194,196,307,310,313,314],"files",[194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221,222,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252,253,254,255,256,257,258,259,260,261,262,263,264,265,266,267,268,269,270,271,272,273,274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291,292,293,294,295,296,297,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314],"counts",{"_183":163,"_184":68,"_185":163,"_186":187,"_188":189},"contents",[133,134,135,136,137,138],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_48":177,"_32":178,"_30":179,"_141":-5,"_40":41,"_39":180,"_143":64,"_37":181,"_13":163,"_34":35,"_36":-5,"_24":25,"_148":-5,"_27":182},{"_48":171,"_32":172,"_30":173,"_141":-5,"_40":41,"_39":174,"_143":64,"_37":175,"_13":163,"_34":35,"_36":-5,"_24":25,"_148":-5,"_27":176},{"_48":165,"_32":166,"_30":167,"_141":-5,"_40":41,"_39":168,"_143":64,"_37":169,"_13":163,"_34":35,"_36":-5,"_24":25,"_148":-5,"_27":170},{"_48":158,"_32":159,"_30":160,"_141":-5,"_40":41,"_39":161,"_143":64,"_37":162,"_13":163,"_34":35,"_36":-5,"_24":25,"_148":-5,"_27":164},{"_48":150,"_32":151,"_30":152,"_141":-5,"_40":41,"_39":153,"_143":25,"_37":154,"_13":155,"_34":21,"_36":156,"_24":25,"_148":-5,"_27":157},{"_48":139,"_32":140,"_30":62,"_141":-5,"_40":41,"_39":142,"_143":25,"_37":144,"_13":145,"_34":146,"_36":147,"_24":25,"_148":50,"_27":149},"f2e3168e-5974-11f1-981c-ee650bb23af1","main.tsx","parentId",130,"latest",["D",1779849425099],16,"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_.-]+$/;\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\napp.get(\"/\", async (c) => {\n const val = parseVal();\n const projectUrl = val.links.self.val;\n const html = (await readFile(\"/static/index.html\", import.meta.url))\n .replaceAll(\"__VAL_PROJECT_URL__\", projectUrl)\n .replaceAll(\"__VAL_CODE_URL__\", `${projectUrl}/code`);\n return c.html(html);\n});\n\napp.get(\"/static/:file\", (c) => serveFile(`/static/${c.req.param(\"file\")}`, import.meta.url));\n\napp.get(\"/api/skills\", async (c) => c.json(await loadSkills()));\n\napp.get(\"/api/skills/:slug\", async (c) => {\n const slug = c.req.param(\"slug\");\n const skills = await loadSkills();\n const skill = skills.find((s) => s.slug === slug);\n if (!skill) return c.json({ error: \"not found\" }, 404);\n return c.json(skill);\n});\n\n// Raw-file routes — what an agent would actually read off disk.\napp.get(\"/raw/:slug/SKILL.md\", (c) => {\n const slug = c.req.param(\"slug\");\n if (!SLUG_RE.test(slug)) return c.text(\"bad slug\", 400);\n return serveFile(`/skills/${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// 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.\" : \"\", \"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\"]] : [[\"#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; }\napp.get(\"/art/:slug\", async (c) => { const slug = c.req.param(\"slug\"); if (!SLUG_RE.test(slug)) return c.text(\"bad slug\", 400); 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=604800, immutable\" }); });\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\nexport default app.fetch;\n","label",[140],"49ae755c-594e-11f1-801a-ee650bb23af1","README.md","6208b168-5925-11f1-9516-ee650bb23af1",89,["D",1779832820354],7,"# 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.\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)\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 ...\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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\n\n \n\n \n\n \n \n\n\n",[],[159,323],"0df15e36-5975-11f1-acb1-ee650bb23af1","client.js","37b85f62-5925-11f1-8789-ee650bb23af1",131,["D",1779849470506],"script","import { marked } from \"https://esm.sh/marked@12\";\n\nconst COLOR_BG = {\n blue: \"card-bg-blue\",\n white: \"card-bg-white\",\n red: \"card-bg-red\",\n black: \"card-bg-black\",\n green: \"card-bg-green\",\n gold: \"card-bg-gold\",\n anthropic: \"card-bg-anthropic\",\n};\n\nconst STICKER_CLASS = {\n feedback: \"bg-yellow-100 border-yellow-500 text-yellow-900\",\n project: \"bg-sky-100 border-sky-500 text-sky-900\",\n reference: \"bg-emerald-100 border-emerald-500 text-emerald-900\",\n user: \"bg-pink-100 border-pink-500 text-pink-900\",\n};\n\nconst binder = document.getElementById(\"binder\");\nconst tmpl = document.getElementById(\"card-template\");\nconst search = document.getElementById(\"search\");\nconst shuffleBtn = document.getElementById(\"shuffle\");\nconst modal = document.getElementById(\"modal\");\nconst modalPanel = document.getElementById(\"modal-panel\");\nconst modalClose = document.getElementById(\"modal-close\");\nconst modalTitle = document.getElementById(\"modal-title\");\nconst modalMeta = document.getElementById(\"modal-meta\");\nconst modalTriggers = document.getElementById(\"modal-triggers\");\nconst modalMd = document.getElementById(\"modal-md\");\nconst modalMemories = document.getElementById(\"modal-memories\");\nconst modalTemplates = document.getElementById(\"modal-templates\");\nconst modalScripts = document.getElementById(\"modal-scripts\");\nconst skillbookConfig = window.SKILLBOOK_CONFIG || {};\nconst codeBase = skillbookConfig.codeBase || \"https://www.val.town/x/dcm31/skillbook/code\";\n\nlet skills = [];\n\nfunction loadArt(img) {\n if (img.dataset.loaded) return;\n img.dataset.loaded = \"true\";\n img.src = img.dataset.src;\n}\n\nconst artObserver = \"IntersectionObserver\" in window\n ? new IntersectionObserver((entries) => {\n for (const entry of entries) {\n if (!entry.isIntersecting) continue;\n const img = entry.target;\n artObserver.unobserve(img);\n loadArt(img);\n }\n }, { rootMargin: \"720px 0px\" })\n : null;\n\nconst esc = (s) =>\n String(s).replaceAll(\"&\", \"&\").replaceAll(\"<\", \"<\").replaceAll(\">\", \">\").replaceAll('\"', \""\");\n\nasync function load() {\n const res = await fetch(\"/api/skills\");\n skills = await res.json();\n render();\n}\n\nfunction openModal(slug) {\n const s = skills.find((x) => x.slug === slug);\n if (!s) return;\n modalTitle.textContent = s.name;\n modalMeta.textContent = `${s.deck || \"Skillbook\"} · ${s.type} · Lv ${s.level} · ${s.invocations} uses`;\n modalTriggers.innerHTML = s.triggers\n .map((t) => `“${esc(t)}”`)\n .join(\"\");\n modalMd.innerHTML = marked.parse(s.body);\n modalMemories.innerHTML = s.memories.length\n ? s.memories\n .map(\n (m) => `\n

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

\n ${m.description ? `

${esc(m.description)}

` : \"\"}\n

${marked.parse(m.body)}

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

No memories yet — this skill hasn't been corrected or refined.

`;\n modalTemplates.innerHTML = s.templates.length\n ? s.templates.map((t) => `

${esc(t)}

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

none

`;\n modalScripts.innerHTML = s.scripts.length\n ? s.scripts.map((t) => `

${esc(t)}

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

none

`;\n\n modal.classList.remove(\"hidden\");\n document.body.classList.add(\"modal-open\");\n modalPanel.scrollTop = 0;\n}\n\nfunction closeModal() {\n modal.classList.add(\"hidden\");\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.classList.contains(\"hidden\")) closeModal();\n});\n\nfunction render() {\n binder.innerHTML = \"\";\n const q = (search.value || \"\").toLowerCase().trim();\n const filtered = q\n ? skills.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 : skills;\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 section.innerHTML = `\n

${esc(deck)}

\n ${deckSkills.length} cards\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}`;\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/${encodeURIComponent(s.slug)}/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\n const flip = () => node.classList.toggle(\"flipped\");\n node.addEventListener(\"click\", (e) => {\n if (e.target.closest(\"a\")) return;\n if (e.target.closest(\".flip-back\")) {\n e.stopPropagation();\n node.classList.remove(\"flipped\");\n return;\n }\n if (node.classList.contains(\"flipped\") && e.target.closest(\".card-back\")) return;\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",[],[159,332],["D",1779815151548],[311,312],[159],"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",[],[166,344],"ca63e0b4-5e95-11f1-bb0e-1607ee4eb77e","index.tsx","552ffd56-5e3a-11f1-b60a-1607ee4eb77e",144,["D",1780413286369],"/** 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",[],[166,353],["D",1780374005541],[308,309],[166],"2d637cb7-4a1d-4130-960a-637d22665554","_index.json","4368c0f2-5927-11f1-8ea0-ee650bb23af1",169,["D",1780859619726],10,"{\n \"_comment\": \"Card metadata and deck layout. The canonical agent-readable source remains each skills//SKILL.md.\",\n \"hyperdesigns\": {\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 \"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 \"videomaker\": {\n \"type\": \"Skill — Creative\",\n \"color\": \"gold\",\n \"art\": \"🎬\",\n \"artPrompt\": \"a hand-cranked enchanted cinema-box on a candlelit workbench, a strip of film unspooling into tiny painted scenes that glow like stained glass, a brass clapperboard and quill resting beside it — burnished gold and warm amber palette, painterly arcane craft, cinematic — 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\": \"Write the HTML. Render the video. The composition is the spec.\",\n \"deck\": \"Skillbook\"\n },\n \"rabbithole-writeup\": {\n \"type\": \"Skill — Lore\",\n \"color\": \"purple\",\n \"art\": \"🐇\",\n \"artPrompt\": \"a white rabbit disappearing down a deep glowing burrow lined with shelved books and unfurling scrolls, a brass inkwell and quill at the entrance, candlelit study — deep amethyst and violet palette with warm gold accents, scholarly, curious, descending into knowledge — 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\": 4,\n \"invocations\": 1,\n \"lastUsed\": \"today\",\n \"flavor\": \"Down the hole, and back with an encyclopedia entry.\",\n \"deck\": \"Skillbook\"\n },\n \"sleek-ui\": {\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 \"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 \"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 \"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 \"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 \"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 \"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 \"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 \"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 \"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 \"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 \"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 \"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}\n",[],[172,364],"98cdbeed-e3cc-4973-9297-ac6b350efade","3dc7dc7e-5fb6-11f1-840a-1607ee4eb77e","2b7603fb-b20d-4ba5-b7f2-c0040d028d21",171,["D",1780859645013],"---\nname: videomaker\ndescription: Make short explainer / promo / launch videos as HTML with HyperFrames and render them to MP4. Use when asked to \"make a video about X\", build a title card or animated overlay, add captions or narration, or turn a project/README into a motion piece. HTML is the source of truth — a composition is one HTML file with data-* timing, a seekable GSAP timeline, and CSS.\ntriggers:\n - \"/videomaker\"\n - \"make me a video\"\n - \"make a video about\"\n - \"turn this into a video\"\n - \"promo video\"\n - \"render to mp4\"\n---\n\n# Videomaker\n\nMy workflow for turning an idea into a rendered MP4 with **HyperFrames** (`npx hyperframes`). HTML is the source of truth: one composition file, a single paused GSAP timeline, CSS for looks. The framework seeks the timeline frame-by-frame and captures with headless Chrome, then muxes with FFmpeg.\n\n> Built once with HeyGen's HyperFrames skill (`npx skills add heygen-com/hyperframes`). This card is the distilled, personal version — extend it as I learn more.\n>\n> **For a real-UI product/feature tour, read `memories/reference_real_ui_product_tour.md` first.** It's the preset + Charlie's rules for that video type, and they override the defaults here: real screenshots / Screen Studio clips only (never a faked/rebuilt UI), fast & short, no Ken Burns zooms, and let the product speak (he writes the script himself).\n\n## Setup (one-time on this machine)\n\nNeeds **Node 22+** and **FFmpeg + ffprobe**; Chrome is used for capture. On the Deno box neither Node nor ffmpeg is global — they live in `~/.local`, so prefix every command:\n\n```bash\nexport PATH=\"$HOME/.local/node/bin:$HOME/.local/bin:$PATH\"\nnpx hyperframes doctor # verify Node / FFmpeg / Chrome\n```\n\n## Loop\n\n1. **Scaffold:** `npx hyperframes init --example blank --non-interactive --skip-skills --resolution landscape`\n2. **Decide before coding:** concept → palette (bg / fg / one accent, declared up front) → two type voices that *cross* a boundary (serif+mono, not two sans). Name the tension.\n3. **Author `index.html`:** one `data-composition-id` root; scenes are full-frame wrappers crossfaded by **opacity** on the single timeline; elements animate in with `tl.fromTo`.\n4. **Verify cheap, then render:**\n ```bash\n npx hyperframes lint\n npx hyperframes snapshot --at 3,9,15,21 --describe false # eyeball frames first\n npx hyperframes render -o renders/out.mp4 -w 2 -q standard # -w 2 keeps RAM sane\n ```\n\n## Hard-won rules (the linter won't catch these)\n\n- **Fonts must be literal, and bundled.** Write real `font-family` names — *not* CSS `var(--serif)`, or the compiler can't detect them and text falls back to Times. Only `PRODUCER_BUNDLED_FONTS` embed offline. Usable serif ≈ **Garamond** (EB Garamond / Playfair are bundled but are AI-tell banned). Mono: **Space Mono**, JetBrains Mono, IBM Plex Mono.\n- **Timeline must be seekable + deterministic:** build it synchronously (no `async`/`setTimeout`); no `Math.random()` / `Date.now()`; attach every ambient/looping tween to `tl` (never a bare `gsap.to`); prefer `tl.fromTo` inside scenes; **never stack two transform tweens on one element** — put the entrance on a wrapper, the ambient float/rotate on a child.\n- **No exit animations except the final scene** — the crossfade *is* the exit.\n- **Video scale ≠ web scale:** 60px+ headlines, 20px+ body, big padding, decorative opacity 12–25%. Aim ~8–10 elements & two focal points per scene; anchor to edges, not centered-floating.\n- **Avoid the AI tells:** cyan-on-dark, purple→blue gradients, gradient text, neon, pure `#000`/`#fff` (tint toward the accent).\n\n## The card pattern (my favorite — lean on it)\n\nA trading-card layout reads beautifully and is the most interesting thing to animate:\n\n- **Structure:** head (`name` + mana `◆◆◆`) · art window · type line · description · `Say \"\"` (mono) · footer (`Lv N` / foil). Theme per card via a `data-c` color attribute driving CSS custom props.\n- **Entrance:** 3D tilt — `rotationY: -110 → -8` on the card, opacity/scale/y on its wrapper.\n- **Foil (Lv 7+):** an absolutely-positioned overlay, `mix-blend-mode: screen`, gold→white gradient, swept across with `x`.\n- **Flip:** `.flip-inner { transform-style: preserve-3d }`, `rotationY 0 → 180`; back face is `rotateY(180deg)` and holds the SKILL.md text + memory stickers.\n- **Binder shot:** a 3×2 grid of cards in distinct colors, staggered in with `back.out`, gently breathing.\n\n## Ideas to add later\n\nPortrait 9:16 cut for social · built-in TTS narration (`hyperframes tts`) · captions synced to audio · a real drag-reorder beat · pull in the Anthropic deck · 4K via `--resolution 4k`.\n",[],[172,380,45],"videomaker","16f4a39b-b48d-48ab-89d6-b7491b2646b3","reference_toolchain_local.md","46d95ea0-5fb6-11f1-ae28-1607ee4eb77e","3cf53122-160b-4e3d-8629-583dc8a1f296",155,["D",1780537190246],"---\nname: toolchain-in-local\ntype: reference\ndescription: Node 22 + static FFmpeg live in ~/.local on this Deno box — prefix PATH\n---\nThis machine is a Deno setup with **no global Node, npm, or FFmpeg**. I installed Node 22 and a static FFmpeg/ffprobe into `~/.local` (no sudo). Chrome was already present and HyperFrames uses it for capture.\n\n**How to apply:** Prefix every hyperframes command:\n\n```bash\nexport PATH=\"$HOME/.local/node/bin:$HOME/.local/bin:$PATH\"\n```\n\n`npx hyperframes doctor` may flag ffprobe on the first Rosetta launch — it works; re-run to confirm. Keep `-w 2` on render so the Chrome workers don't exhaust RAM.\n",[],[172,380,390,382],"memories","ca9d6ea5-27d9-48e7-ac96-1f9690d12709","reference_real_ui_product_tour.md","0abd01c8-62a5-11f1-ac53-1607ee4eb77e",170,["D",1780859641437],"---\nname: real-ui-product-tour\ntype: reference\ndescription: How Charlie likes a real-UI product/feature tour video — the recipe plus his rules (real captures only, fast, no zooms, no narration). A child of videomaker for this one video type.\n---\n\n# Real-UI product tour\n\nThe kind of video built in the `skills`-library session (2026-06): a fast walk through a real web app's features, assembled from **real** screens — not narrated, not editorialized. This is a specific videomaker preset, not a general explainer.\n\n## The recipe\n\n- Tour real screens in sequence (sign-in / home / grid → open an item → the key feature → the payoff). Wrap each in a faint browser-window frame (traffic-light dots + a real URL bar) so it reads as the actual product.\n- Show real interactions with a synthetic cursor: glide to a control, click (quick scale-down + a ring pulse), then the real state change (e.g. **Copy skill → ✓ Copied**).\n- **Hard cuts** between scenes; a ~0.25s crossfade at most.\n- For any \"doing\" beat (typing, editing), a real **Screen Studio** recording is the gold standard — concat it on with FFmpeg (normalize to 1920×1080 / 30fps; pillarbox on the app's own bg color so the bars disappear).\n\n## Charlie's rules (these override videomaker defaults)\n\n- **Real or nothing.** Never rebuild a UI in HTML to fake a screen — he spots it immediately and it's a dealbreaker. Use real screenshots / Screen Studio clips only. If you can't capture it yourself, ask him to grab it.\n- **Fast.** Short and snappy — a ~4-scene tour landed around ~7s. When unsure, cut it shorter.\n- **No Ken Burns.** Slow zoom/pan reads as weird and wastes time. Motion = cuts, quick reveals, real cursor actions; hold scenes still long enough to read.\n- **Let the product speak.** No editorialized captions or marketing copy — he writes the script/voiceover himself.\n- **Full real chrome** (nav, sidebar, URL bar) beats a cropped or stylized slice.\n\n## Working with him on it\n\n- Terse, directional feedback over many fast passes (\"much faster,\" \"take them out,\" \"real or nothin\"). Change and re-render; don't over-discuss.\n- Show snapshots / a contact sheet before committing to a full render.\n- End with 2–3 concrete next-tweak options.\n",[],[172,380,390,392],"a4dc72f7-ea33-4b4a-99f4-8ea83d91a2d3","reference_bundled_fonts.md","465dc5b0-5fb6-11f1-b023-1607ee4eb77e",154,["D",1780537189420],"---\nname: bundled-fonts-only\ntype: reference\ndescription: Only PRODUCER_BUNDLED_FONTS embed offline; write literal font-family names\n---\nHyperFrames only embeds fonts in its `PRODUCER_BUNDLED_FONTS` set, and only when the `font-family` is a **literal name** in the CSS — a `var(--serif)` token hides the name from the compiler and text falls back to a generic (Times/Courier).\n\n**How to apply:** Set literal `font-family: \"Garamond\", serif` / `font-family: \"Space Mono\", monospace`. The only non-banned bundled serif is essentially **Garamond** (EB Garamond and Playfair Display are bundled but are AI-tell banned). Bundled monos: Space Mono, JetBrains Mono, IBM Plex Mono, Source Code Pro. Run `hyperframes lint` — a clean run means every used family will embed.\n",[],[172,380,390,400],"74a38e60-1c95-4b99-bd62-b7ca35fd2b12","feedback_cards_are_the_point.md","4345c80a-5fb6-11f1-8300-1607ee4eb77e",153,["D",1780537184234],"---\nname: cards-are-the-point\ntype: feedback\ndescription: Lean hard on the trading-card visuals — that's the most interesting part\n---\nGo heavy on the cards. The trading-card visuals are the most interesting part of any skillbook video.\n\n**Why:** First pass was a balanced explainer; the cards were one scene. The version that landed put cards in *every* beat — hero tilt-in, the full 6-color binder grid, a front→back flip, a Lv 7 foil close-up, search filtering the deck, a fanned-card close.\n\n**How to apply:** When the subject is skillbook (or any card UI), make the card the recurring hero. Budget most scenes to showcase card mechanics — flip, foil, mana, level, the binder grid — over talking-head copy.\n",[],[172,380,390,408],"85a56001-615b-45ec-8890-f9a620b04394",["D",1780537184234],[301,302,303,304],[172,380,390],"b019c496-bc7b-4c03-b334-64b7e32d318f",152,["D",1780537175028],[300,305],[172,380],"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\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",[],[172,1113,45],"anthropic-algorithmic-art","c6628842-5974-11f1-9c4b-ee650bb23af1",91,["D",1779849350455],[198],[172,1113],["D",1779816059463],[197,199,201,203,205,207,209,211,213,215,217,219,221,223,225,227,229,231,240,241,249,258,260,261,270,272,284,286,295,297,299,306],[172],"cf7ec45e-5974-11f1-b3e1-ee650bb23af1","loader.ts","ae9857de-5927-11f1-8d94-ee650bb23af1",126,["D",1779849365719],"// 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\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\";\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 deck?: 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 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 cached = skills;\n return skills;\n}\n\nasync function loadOne(slug: string, meta: CardMeta, allFiles: FileEntry[]): Promise {\n const prefix = `skills/${slug}/`;\n const filesForSkill = allFiles.filter((f) => f.path?.startsWith(prefix));\n\n const body = await readFile(`/skills/${slug}/SKILL.md`, import.meta.url);\n const { frontmatter } = splitFrontmatter(body);\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(`${prefix}scripts/`) && f.type !== \"directory\")\n .map((f) => basename(f.path))\n .sort();\n\n return {\n slug,\n name: String(frontmatter.name ?? slug),\n description: String(frontmatter.description ?? \"\"),\n triggers: Array.isArray(frontmatter.triggers) ? frontmatter.triggers.map(String) : [],\n body,\n deck: meta.deck ?? \"Skillbook\",\n type: meta.type,\n color: meta.color,\n art: meta.art,\n artPrompt: meta.artPrompt,\n manaCost: meta.manaCost,\n level: meta.level,\n invocations: meta.invocations,\n lastUsed: meta.lastUsed,\n flavor: meta.flavor,\n memories,\n templates,\n scripts,\n };\n}\n\nasync function loadMemory(f: FileEntry): Promise {\n const text = await readFile(`/${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",[],[178,1123],["D",1779814995869],[195],[178],["D",1779814930341],{"_102":101,"_110":106},{"_102":101,"_103":104,"_105":106,"_18":60,"_107":108,"_109":25},{"_13":91,"_32":92,"_48":41,"_93":49,"_94":-5,"_95":-5,"_96":-5,"_97":-5,"_98":-5,"_99":50,"_100":101},"ctx",{"_84":-5,"_130":1170,"_1171":1172,"_1173":1174,"_1175":25,"_1176":25,"_1177":25,"_1178":64,"_1179":-5,"_1180":-7,"_1181":-7,"_1182":163,"_1183":25,"_1184":25,"_1185":-5,"_1186":25,"_1187":25,"_1188":25,"_1189":-5},"ENV",{"_1141":1142,"_1143":1144,"_1145":92,"_1146":1147,"_1148":1149,"_1150":1151,"_1152":1153,"_1154":1155,"_1156":1157,"_1158":1159,"_1160":1161,"_1162":1163,"_1164":1165,"_1166":1167,"_1168":1169},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","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

${esc(deck)}

🎨 sprite-builder

Diff · v172