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Get api docs

Skill newmindsgroup/ai-agent-skills-library/sources/mxyhi-ok-skills/skills/get-api-docs

Shared library of AI agent skills — works across Claude Code, Cursor, Codex, Windsurf, OpenCode, and Google Antigravity via a single universal installer.

Install
npx -y skills add newmindsgroup/ai-agent-skills-library --skill get-api-docs

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use this skill when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the Anthropic SDK", "query Pinecone", or any time the user asks you to write code against an external service and you need current API reference. Fetch the docs with chub before answering, rather than relying on training knowledge.

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

3.5 KB, as published. Nobody here has run it

Get API Docs via chub

When you need documentation for a library or API, fetch it with the chub CLI rather than guessing from training data. This gives you the current, correct API.

Step 1 — Find the right doc ID

chub search "<library name>" --json

Pick the best-matching id from the results (e.g. openai/chat, anthropic/sdk, stripe/api). If nothing matches, try a broader term.

Step 2 — Fetch the docs

chub get <id> --lang py    # or --lang js, --lang ts

Omit --lang if the doc has only one language variant — it will be auto-selected.

Step 3 — Use the docs

Read the fetched content and use it to write accurate code or answer the question. Do not rely on memorized API shapes — use what the docs say.

Step 4 — Annotate what you learned

After completing the task, if you discovered something not in the doc — a gotcha, workaround, version quirk, or project-specific detail — save it so future sessions start smarter:

chub annotate <id> "Webhook verification requires raw body — do not parse before verifying"

Annotations are local, persist across sessions, and appear automatically on future chub get calls. Keep notes concise and actionable. Don't repeat what's already in the doc.

Step 5 — Give feedback

Always rate the doc after using it. This helps authors fix outdated or incorrect docs and prioritize improvements. Include a label and a brief comment explaining what was good or what needs fixing — specific feedback is the most valuable.

chub feedback <id> up --label accurate "Clear examples, models are current"
chub feedback <id> down --label outdated "Lists gpt-4o as latest but gpt-5.4 is out"

Available labels: outdated, inaccurate, incomplete, wrong-examples, wrong-version, poorly-structured, accurate, well-structured, helpful, good-examples.

If you notice the doc has wrong model names, deprecated APIs, missing features, or incorrect code patterns, always leave a downvote with details so it can be fixed.

Quick reference

GoalCommand
List everythingchub search
Find a docchub search "stripe"
Exact id detailchub search stripe/api
Fetch Python docschub get stripe/api --lang py
Fetch JS docschub get openai/chat --lang js
Save to filechub get anthropic/sdk --lang py -o docs.md
Fetch multiplechub get openai/chat stripe/api --lang py
Save a notechub annotate stripe/api "needs raw body"
List noteschub annotate --list
Rate a docchub feedback stripe/api up

Notes

  • chub search with no query lists everything available
  • IDs are <author>/<name> — confirm the ID from search before fetching
  • If multiple languages exist and you don't pass --lang, chub will tell you which are available

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.