context7

分类: 开发与编程 | 上传者: trancong12102 | 下载: 0 | 版本: v1.0（最新）

Use this skill to fetch up-to-date documentation for any open-source library or framework. Trigger whenever the user asks to look up library docs, check an API, pull up documentation, find code examples, or verify how a library feature works — especially if they mention a specific library name, version migration, outdated docs, or say things like 'what's the current way to...' or 'the API might have changed'. Also trigger when the user needs setup or configuration docs for a library. Do NOT use for general programming concepts, internal project code, or questions unrelated to a specific library.

更新日志: Source: GitHub https://github.com/trancong12102/agentskills

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当前层级: context7/

📁 scripts/
- 📄 context7.py 4.8 KB
📄 SKILL.md 3.3 KB

SKILL.md

---
name: context7
description: "Use this skill to fetch up-to-date documentation for any open-source library or framework. Trigger whenever the user asks to look up library docs, check an API, pull up documentation, find code examples, or verify how a library feature works — especially if they mention a specific library name, version migration, outdated docs, or say things like 'what's the current way to...' or 'the API might have changed'. Also trigger when the user needs setup or configuration docs for a library. Do NOT use for general programming concepts, internal project code, or questions unrelated to a specific library."
---

# Context7

Retrieve current documentation for software libraries by querying the Context7 API. This is especially useful when you're unsure about an API's current interface — library docs change frequently and your training data may be outdated.

Requires `CONTEXT7_API_KEY` environment variable.

## When to Use

- Looking up how a library function works (e.g., "how does `useEffect` cleanup work?")
- Checking if an API has changed in a newer version
- Finding code examples for a specific library feature
- Verifying correct import paths or function signatures
- Installing or configuring a library and needing setup docs

## When NOT to Use

- General programming questions (e.g., "how do closures work in JS?")
- Questions about your own project's internal code
- Topics unrelated to a specific open-source library or framework

## Workflow

**DO NOT read script source code.** Run scripts directly and use `--help` for usage.

### Step 1: Search for the Library

```bash
python3 scripts/context7.py search <library> <topic>
```

Returns TSV with top 5 matches: `id`, `title`, `snippets`. Use the `id` from the best-matching row for the fetch step.

### Step 2: Fetch Documentation

```bash
python3 scripts/context7.py fetch <library_id> <topic> [--max-tokens N]
```

Fetches documentation snippets relevant to the topic, truncated to a token budget (default: 5000).

**Choosing `--max-tokens`:**

| Scenario | Tokens | Why |
|----------|--------|-----|
| Quick lookup (one function signature) | 2000 | Keeps output focused, faster response |
| Typical usage (API patterns, examples) | 5000 (default) | Good balance of depth and brevity |
| Broad exploration (migration guide, full API surface) | 8000–10000 | Needed when topic spans multiple sections |

Run `python3 scripts/context7.py --help` for full usage.

## Examples

```bash
# Find React library ID, then fetch useState docs
python3 scripts/context7.py search react "useState hook"
python3 scripts/context7.py fetch /websites/react_dev "useState hook with objects"

# Smaller budget for a quick lookup
python3 scripts/context7.py fetch /vercel/next.js "middleware redirect" --max-tokens 2000

# Broader exploration
python3 scripts/context7.py fetch /langchain-ai/langchainjs "retrieval chain setup" --max-tokens 8000
```

## Rules

- **Write specific queries** — `"useState hook with objects"` retrieves much better results than `"hooks"`, because the API ranks snippets by relevance to your query.
- **Always search before fetching** — Library IDs aren't guessable (e.g., `/websites/react_dev`), so you need the search step to find the right one.
- **Match `--max-tokens` to the task** — Use the table above. Overshooting wastes context window; undershooting may miss the answer.

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