# Docs

> Use the Farming Labs docs website through standards discovery, AGENTS.md, markdown routes, search, llms.txt, OpenAPI schema discovery, and MCP.

- Skill: `farming-labs/docs` (Agent Skill, multi-file: 208 files)
- Install (CLI): `npx skillmds@latest add farming-labs/docs`
- Raw SKILL.md: https://api.skillmd.com/api/skills/farming-labs/docs/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: farming-labs (https://skillmd.com/u/farming-labs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/farming-labs/docs

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# Farming Labs Docs Website Skill

Use this skill when reading or implementing from the hosted Farming Labs docs website.

## Start Here

- Fetch `/.well-known/agent.json` first.
- Use `/.well-known/api-catalog` for RFC 9727 API discovery.
- Use `/.well-known/agent-skills/index.json` to discover all published skills and choose by name and description.
- Verify each index digest against the exact artifact bytes. Skills with companion files are indexed as deterministic archives; their `SKILL.md`, `references/`, `scripts/`, and `assets/` files also remain directly readable.
- Use `/.well-known/skills/index.json` only when a client requires the legacy discovery shape.
- Fetch `/AGENTS.md` for coding-agent operating instructions.
- Read `/docs.md` for the root docs page.
- Read `/docs/{slug}.md` for page-specific markdown.
- On Next.js docs routes, you can also read `/docs/{slug}` with `Signature-Agent` for the same markdown.
- Search with `/api/docs?query={query}` when the right page is unknown.
- Use `/llms.txt` for a compact index and `/llms-full.txt` for full markdown context.
- Use `/api/docs?format=openapi` for the machine-readable API schema when API routes matter.
- Use `/mcp` or `/.well-known/mcp` when MCP is available. Published skill files are resources at `docs://skills/{name}/{path}`; text files return text and binary assets return base64 blobs. Prefer `list_docs` to inspect sections, `search_docs` to find a topic, `get_context` for token-budgeted retrieval, `read_page` to fetch a known page or heading, `get_code_examples` to extract runnable snippets, and `get_config_schema` before editing `docs.config.ts`.