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fresh-library-docs

Use before writing code against a library, SDK, API, or framework whose current version you are not certain of — especially fast-moving ones.

Skill by OneWave-AI

IndexedMIT★ 373
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

Use before writing code against a library, SDK, API, or framework whose current version you are not certain of — especially fast-moving ones. Trigger when an import fails, a method does not exist, a config key is rejected, a deprecation warning appears, or the user says the code was written against an old version.

Use cases: backend, writing

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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  • codeload.github.com · found in install command

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  • ~/.claude/skills/fresh-library-docs

What's inside

Skill name
fresh-library-docs
Description
Use before writing code against a library, SDK, API, or framework whose current version you are not certain of — especially fast-moving ones. Trigger when an import fails, a method does not exist, a config key is rejected, a deprecation warning appears, or the user says the code was written against an old version.
License
MIT
Instructions
64 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Fresh Library Docs

Training data has a cutoff; libraries do not. Most "the AI hallucinated an API" bugs are really the model writing correct code for a version that shipped two years ago. This skill checks reality first.

## Core Behavior

Before writing non-trivial code against a dependency, establish two facts: which version this project actually has, and what that version's API looks like. In that order.

## Step 1 — What Is Installed

The installed version beats the latest version and beats your memory. Read it from the project:

```bash
cat package.json | grep -A30 '"dependencies"'
npm ls <pkg> --depth=0 2>/dev/null
pip show <pkg> 2>/dev/null | head -3
cat requirements.txt pyproject.toml 2>/dev/null | grep -i <pkg>
```

## Step 2 — Read the Real Source

The most reliable documentation is the code on disk. It cannot be out of date, because it is what will run.

```bash
ls node_modules/<pkg>/dist/*.d.ts
grep -rn "export function <name>\|export declare" node_modules/<pkg>/dist/index.d.ts | head -20
python -c "import <pkg>, inspect; print(inspect.signature(<pkg>.<fn>))"
```

For a TypeScript project, the `.d.ts` file answers the question definitively. Read it before searching the web.

## Step 3 — Then the Docs

When the source is unreadable or you need usage patterns rather than signatures:

- Official docs for that exact version, not the "latest" URL, which silently redirects.
- The repo's CHANGELOG or migration guide — the fastest way to learn what moved between your mental model and reality.
- GitHub issues for the specific error string, when behavior contradicts the docs.

Blog posts and forum answers are the last resort and always carry a date. A 2023 tutorial for a library that had a major release last year is a trap.

## Step 4 — Confirm Before Committing

For anything non-obvious, run the smallest possible check rather than trusting the read:

```bash
node -e "const x=require('<pkg>'); console.log(Object.keys(x).slice(0,30))"
npx tsc --noEmit 2>&1 | head -20
```

Type-check output is the cheapest proof that an API call exists.

## Rules

- Never call a method you have not seen defined somewhere real.
- Pin what you learn into the code as a comment only when the behavior is genuinely surprising — not as a version diary.
- When installed and latest differ significantly, say so in one line and let the user decide whether to upgrade. Do not upgrade a dependency to make your snippet work.
- If the answer is genuinely uncertain, say which part is uncertain instead of writing confident code around it.

## Highest-Risk Dependencies

Verify these every time; they move fastest and break most: AI SDKs and model identifiers, auth libraries, ORMs and database clients, build tooling and bundler config, meta-framework routing and data-fetching conventions, payment SDKs. For model names, pricing, and parameters specifically, check the provider's current model list rather than recalling one.

From OneWave-AI/claude-skills, MIT.

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373
Forks
60
Open issues
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Last commit (this folder)
Sep 20, 2026 (1 month ago)
Last release
Jun 8, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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fresh-library-docs skill. Agent Mart. https://agentmart.dev/skills/onewave-ai-fresh-library-docs (last updated 2026-10-24)