Skill Binder

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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\nimport { Hono } from \"npm:hono@4\";\nimport { parseVal, readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { SKILLS } from \"./data/skills.ts\";\n\nconst app = new Hono();\napp.onError((err) => Promise.reject(err));\n\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/static/index.html\", import.meta.url);\n return c.html(html);\n});\n\napp.get(\"/static/:file\", (c) => serveFile(`/static/${c.req.param(\"file\")}`, import.meta.url));\n\napp.get(\"/api/skills\", (c) => c.json(SKILLS));\n\napp.get(\"/api/skills/:slug\", (c) => {\n const slug = c.req.param(\"slug\");\n const skill = SKILLS.find((s) => s.slug === slug);\n if (!skill) return c.json({ error: \"not found\" }, 404);\n return c.json(skill);\n});\n\n// Raw SKILL.md — what an agent reads off disk.\napp.get(\"/raw/:slug/SKILL.md\", (c) => {\n const slug = c.req.param(\"slug\");\n const skill = SKILLS.find((s) => s.slug === slug);\n if (!skill) return c.text(\"not found\", 404);\n return c.text(skill.body, 200, { \"content-type\": \"text/markdown; charset=utf-8\" });\n});\n\n// AI-generated card art via fal.ai (flux/schnell). Cached in blob storage —\n// first request per skill ~5s, subsequent requests instant.\n//\n// To enable, set FAL_KEY (get one at https://fal.ai/dashboard/keys):\n// https://www.val.town/x/dcm31/skill-binder/environment-variables?key=FAL_KEY\n// Without it, this route returns 503 and the client gracefully falls back\n// to the emoji.\nconst BLOB_PREFIX = \"skill-binder/art/v1\";\n\napp.get(\"/art/:slug\", async (c) => {\n const slug = c.req.param(\"slug\");\n const skill = SKILLS.find((s) => s.slug === slug);\n if (!skill) return c.text(\"not found\", 404);\n\n const force = c.req.query(\"force\") === \"1\";\n const blobKey = `${BLOB_PREFIX}/${slug}.jpg`;\n const headers = {\n \"content-type\": \"image/jpeg\",\n \"cache-control\": \"public, max-age=86400\",\n };\n\n if (!force) {\n try {\n const cached = await blob.get(blobKey);\n if (cached?.ok) {\n const buf = await cached.arrayBuffer();\n if (buf.byteLength > 0) return new Response(buf, { headers });\n }\n } catch {\n // not cached — fall through to generation\n }\n }\n\n const FAL_KEY = Deno.env.get(\"FAL_KEY\");\n if (!FAL_KEY) {\n return c.text(\n \"FAL_KEY not configured. Add one at /environment-variables?key=FAL_KEY\",\n 503,\n );\n }\n\n const falRes = await fetch(\"https://fal.run/fal-ai/flux/schnell\", {\n method: \"POST\",\n headers: {\n Authorization: `Key ${FAL_KEY}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n prompt: skill.artPrompt,\n image_size: \"square\",\n num_inference_steps: 4,\n num_images: 1,\n enable_safety_checker: true,\n }),\n });\n if (!falRes.ok) {\n const errBody = await falRes.text();\n console.error(\"fal error\", falRes.status, errBody);\n return c.text(`fal error: ${falRes.status}`, 502);\n }\n const data = await falRes.json();\n const url = data?.images?.[0]?.url;\n if (!url) return c.text(\"no image url in fal response\", 502);\n\n const imgRes = await fetch(url);\n if (!imgRes.ok) return c.text(`failed to fetch fal image: ${imgRes.status}`, 502);\n const buf = await imgRes.arrayBuffer();\n\n await blob.set(blobKey, new Uint8Array(buf));\n\n return new Response(buf, { headers });\n});\n\napp.get(\"/source\", (c) => c.redirect(parseVal().links.self.val));\n\nexport default app.fetch;\n","label",[139],"6208b0aa-5925-11f1-9516-ee650bb23af1","README.md","6208b168-5925-11f1-9516-ee650bb23af1",6,["D",1779815251849],0,"# skill-binder\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 for one card:** [/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. So this prototype keeps the same source and renders two faces:\n\n- **Agent face:** the raw `SKILL.md` markdown, served verbatim at `/raw//SKILL.md` and as JSON at `/api/skills`.\n- **Human face:** trading cards — flip to read, drag to reorder, search by trigger phrase. Memories sit on the back as stickers; ⚡ mana cost = setup needed; Lv 7+ cards get the gold foil treatment.\n\n## Files\n\n- `main.tsx` — Hono server. Two real routes (`/`, `/api/skills`), one raw-markdown route per skill, one static handler.\n- `data/skills.ts` — six demo skills, each with a real-feeling `SKILL.md` body, memories, trigger phrases.\n- `static/index.html` — the page shell + a `

Skill Binder

Memories (stickers)

Templates

Scripts

Diff · v19