OpenAPI Spec Generation
wshobson/agents
Create, validate and maintain OpenAPI 3.1 specs for REST APIs, whether designed first or generated from existing code, and use them for docs and client SDKs.
OpenAPI documentation and REST API design patterns. An agent skill from langchain-ai/skills-benchmarks.
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/skills-benchmarks api-docs --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/noise/api_docs .claude/skills/api-docs && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .claude/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/skills-benchmarks api-docs --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/noise/api_docs .agents/skills/api-docs && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .agents/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/skills-benchmarks api-docs --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/noise/api_docs .cursor/skills/api-docs && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .cursor/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/skills-benchmarks.git --path skills/noise/api_docs--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/skills-benchmarks api-docs --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/noise/api_docs .gemini/skills/api-docs && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .gemini/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/skills-benchmarks api-docsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/noise/api_docs .github/skills/api-docs && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .github/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/skills-benchmarks --skill api-docs -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/skills-benchmarks api-docs --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/noise/api_docs .opencode/skills/api-docs && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "api-docs" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/api_docs into .opencode/skills/api-docs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "api-docs", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
api-docsOpenAPI documentation and REST API design patterns. An agent skill from langchain-ai/skills-benchmarks.
API Docs is an agent skill from langchain-ai/skills-benchmarks, published by the product's own GitHub organization. OpenAPI documentation and REST API design patterns
Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Technical documentation, OpenAPI specifications and Design patterns. It works with OpenAPI. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9195f8c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are yaml and json).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
API Docs loads about 358 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 61 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from langchain-ai/skills-benchmarks at commit 9195f8c, republished under its MIT licence (© langchain-ai). 61 words, ~358 tokens.
.claude/skills/api-docs/SKILL.md (or your agent's skills folder).Design and document RESTful APIs following industry standards.
Always document APIs using OpenAPI 3.0+:
openapi: 3.0.3
info:
title: User API
version: 1.0.0
paths:
/users:
get:
summary: List users
parameters:
- name: limit
in: query
schema:
type: integer
default: 20
responses:
'200':
description: Success
content:
application/json:
schema:
type: array
items:
$ref: '#/components/schemas/User'
components:
schemas:
User:
type: object
required: [id, email]
properties:
id:
type: string
format: uuid
email:
type: string
format: email/users, /orders?page=1&limit=20/v1/users{
"error": {
"code": "VALIDATION_ERROR",
"message": "Invalid input",
"details": [
{"field": "email", "message": "Invalid email format"}
]
}
}© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/noise/api_docs of langchain-ai/skills-benchmarks.
Open the folder on GitHubat commit 9195f8c
API Docs next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| API Docs this skilllangchain-ai/skills-benchmarks | 118 | — | ~358 | Automated safety check: Pass | MIT | |
| OpenAPI Spec Generationwshobson/agents | 40k | 10 repos | ~511 | Automated safety check: Pass | MIT | |
| API Documentation WriterOneWave-AI/claude-skills | 323 | — | ~541 | Automated safety check: Pass | MIT | |
| API Documenteralirezarezvani/claude-code-tresor | 777 | — | ~1.5k | Automated safety check: Pass | MIT | |
| API Contract Designrsmdt/the-startup | 551 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Python Fastapi Patternsaiskillstore/marketplace | 430 | 1 repos | ~1.3k | Automated safety check: Notes | None |
wshobson/agents
Create, validate and maintain OpenAPI 3.1 specs for REST APIs, whether designed first or generated from existing code, and use them for docs and client SDKs.
OneWave-AI/claude-skills
Generate comprehensive API documentation including endpoint descriptions, request/response examples, authentication guides, error codes, and SDKs.
alirezarezvani/claude-code-tresor
Auto-generate API documentation from code and comments. An agent skill from alirezarezvani/claude-code-tresor.
rsmdt/the-startup
REST and GraphQL API design patterns, OpenAPI/Swagger specifications, versioning strategies, and authentication patterns.
aiskillstore/marketplace
FastAPI web framework patterns. An agent skill from aiskillstore/marketplace.
getsentry/skills
Document and type a Sentry API endpoint. An agent skill from getsentry/skills.
langchain-ai/skills-benchmarks
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code.
langchain-ai/skills-benchmarks
Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project.
langchain-ai/skills-benchmarks
Modern React component patterns with hooks and TypeScript. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
Unit testing and integration testing best practices. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
Database migration patterns and schema versioning. An agent skill from langchain-ai/skills-benchmarks.
Works with
Categories
OpenAPI documentation and REST API design patterns. An agent skill from langchain-ai/skills-benchmarks. API Docs is an agent skill from langchain-ai/skills-benchmarks, published by the product's own GitHub organization.
API Docs fits situations like: tasks that involve Technical documentation; tasks that involve OpenAPI specifications; tasks that involve Design patterns.
Run `npx skills add langchain-ai/skills-benchmarks --skill api-docs -a claude-code`. Or copy the skill folder (skills/noise/api_docs in langchain-ai/skills-benchmarks) into .claude/skills/api-docs in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langchain-ai/skills-benchmarks --skill api-docs -a codex`. Or copy the skill folder (skills/noise/api_docs in langchain-ai/skills-benchmarks) into .agents/skills/api-docs in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/skills-benchmarks --skill api-docs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/api-docs, .gemini/skills/api-docs, .github/skills/api-docs and .opencode/skills/api-docs in your project.
SKILL.md names no scripts, command-line tools or credentials: API Docs is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
API Docs is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 358 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with API Docs: OpenAPI Spec Generation (wshobson/agents, 40k stars), API Documentation Writer (OneWave-AI/claude-skills, 323 stars), API Documenter (alirezarezvani/claude-code-tresor, 777 stars) and API Contract Design (rsmdt/the-startup, 551 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/skills-benchmarks, which has 118 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 21, 2026.
Source: langchain-ai/skills-benchmarks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.