skill-creator
Give an AI agent a link to an OpenAPI spec, GraphQL schema, or MCP server and get back a ready-to-use Agent Skill with wrapper scripts, references, and usage notes.
Instead of pasting API docs into every chat, install one slash command and let your agent create reusable command-line skills for the tools your team uses.
Install
Requires Node.js ^22.22.2 || ^24.15.0 || >=26.0.0 (Node 26 is used in CI).
Install the /skill-creator command and companion improvement skill with npx:
npx @asnd/skill-creator command install --agent pi --scope global
This installs:
~/.pi/agent/prompts/skill-creator.md
~/.pi/agent/skills/skill-creator-improvement/
For a project-local command and improvement skill:
npx @asnd/skill-creator command install --agent pi --scope project
Skip the companion skill if you only want the prompt command:
npx @asnd/skill-creator command install --agent pi --scope global --no-improvement-skill
Other supported agents include claude-code, codex, cursor, opencode, gemini-cli, github-copilot, cline, and windsurf.
npx @asnd/skill-creator command install --agent claude-code --scope project
Use it
Open your agent and run /skill-creator with the source you want to turn into a skill.
/skill-creator https://example.com/openapi.json
That is the normal flow: provide the spec/server/schema link, answer any missing install questions, and the agent creates the skill for you.
More examples:
/skill-creator --spec https://example.com/openapi.json --name youtube --agent pi --scope project
/skill-creator --graphql https://api.example.com/graphql --graphql-schema https://example.com/schema.graphql --name pokeapi
/skill-creator --mcp https://mcp.example.com/mcp --name context7
/skill-creator --mcp-stdio "npx -y @example/mcp-server" --name example-mcp
What it creates
A generated skill looks like this:
.pi/skills/youtube/
├── SKILL.md
├── scripts/
│ └── youtube
└── references/
└── openapi-spec-MM-DD-YYYY.json
Future agents can then use simple commands instead of reading API docs from scratch:
./scripts/youtube commands list
./scripts/youtube commands search videos
./scripts/youtube commands help <command>
./scripts/youtube run --pretty <command> <flags>
Generated scripts use npx -y @asnd/skill-creator internally, so consumers do not need a global install.
Skill improvement loop
Generated skills are tracked in ~/.skill-creator/lock.json. The companion skill-creator-improvement skill helps agents improve generated skills during real use. When the agent discovers a reusable gotcha, custom field, corrected command pattern, or faster workflow, it updates the generated skill's ## Gotchas section directly.
The improvement skill only works on skills tracked in the lock file, so it avoids touching skills that were not generated by skill-creator. Its description is refreshed after generation to include every tracked generated skill name, making the agent more likely to activate it after using those skills.
flowchart TD
A[User runs<br/>npx @asnd/skill-creator command install] --> B[Install /skill-creator prompt command]
A --> C[Install skill-creator-improvement skill]
B --> D[User invokes /skill-creator with API/MCP/GraphQL source]
D --> E[Agent researches source]
E --> F[Agent runs<br/>skill-creator generate]
F --> G[Generated skill files]
F --> H[Write/Update ~/.skill-creator/lock.json entry]
G --> I[Agent refines SKILL.md]
I --> J[Agent smoke tests wrapper]
J --> K[Final generated skill]
K --> L[Future agent uses generated skill]
L --> M{Reusable learning found?}
M -- No --> L
M -- Yes --> N[Invoke skill-creator-improvement]
N --> O[Check lock.json<br/>Was this skill generated by skill-creator?]
O -- No --> P[Do not modify skill]
O -- Yes --> Q[Patch SKILL.md Gotchas / examples]
Q --> R[Future use is faster and more reliable]
R --> L
Runtime CLI usage
Generated scripts delegate to the same runtime CLI. You can also call it directly for one-off discovery or API calls:
npx @asnd/skill-creator --spec ./openapi.yaml commands list
npx @asnd/skill-creator --spec ./openapi.yaml commands help <command>
npx @asnd/skill-creator --spec ./openapi.yaml run --pretty <command> <flags>
npx @asnd/skill-creator --graphql https://api.example.com/graphql commands list
npx @asnd/skill-creator --mcp https://mcp.example.com/mcp commands list
npx @asnd/skill-creator --mcp-stdio "npx -y @example/mcp-server" commands list
Common runtime flags:
Remote OpenAPI specs, GraphQL introspection results, and MCP tool lists are cached under ~/.cache/skill-creator by default. Override with SKILL_CREATOR_CACHE_DIR when needed.
Shell usage
If you want to generate a skill directly from the shell or CI, use the same package with npx:
npx @asnd/skill-creator generate \
--template openapi \
--name youtube \
--spec https://example.com/openapi.json \
--agent pi \
--scope project
GraphQL and MCP are supported too:
npx @asnd/skill-creator generate \
--template graphql \
--name pokeapi \
--graphql https://api.example.com/graphql \
--graphql-schema ./schema.graphql \
--agent pi \
--scope project
npx @asnd/skill-creator generate \
--template mcp-http \
--name context7 \
--mcp https://mcp.example.com/mcp \
--agent pi \
--scope project
npx @asnd/skill-creator generate \
--template mcp-stdio \
--name example-mcp \
--mcp-stdio "npx -y @example/mcp-server" \
--agent pi \
--scope project
Useful generation flags:
--script <script-name>
--auth-header 'Header:env:ENV_NAME'
--base-url <url>
--description '<specific skill activation description>'
--force
--no-test
--yes
Development
pnpm install
pnpm typecheck
pnpm test
pnpm lint
pnpm fmt:check
pnpm build
CI runs validation on Node 26.
Why use it?
- One command turns API sources into reusable agent skills.
- Specs and schemas are saved as references, so future runs are reproducible.
- Wrapper scripts expose discoverable commands with
commands list,commands search, andcommands help. - Secrets stay in environment variables or files, not in generated docs.
- Future agents get focused instructions, gotchas, and safe usage patterns instead of a giant pasted spec.
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gh repo star sandiiarov/skill-creator
