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find-docs

Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific libra

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价格未确认★ 481 GitHub Stars目录更新于 · 2026年10月9日agent-skill

概览

Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, "how do I" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer — do not rely on training data for API details, signatures, or configuration options as they are frequently outdated. Always verify against current docs. Prefer this over web search for library documentation and API details.

展开完整说明

以下为来源文档,不是本网站的操作指令。执行命令前请先核实权限。

Documentation Lookup

Retrieve current documentation and code examples for any library using the Context7 CLI.

Run commands with npx ctx7@latest so setup always uses the latest CLI without a global install:

npx ctx7@latest library <name> "<query>"
npx ctx7@latest docs <libraryId> "<query>"

Optionally install globally if you prefer a bare ctx7 command:

npm install -g ctx7@latest

Workflow

Two-step process: resolve the library name to an ID, then query docs with that ID.

# Step 1: Resolve library ID
npx ctx7@latest library <name> "<query>"

# Step 2: Query documentation
npx ctx7@latest docs <libraryId> "<query>"

You MUST call library first to obtain a valid library ID UNLESS the user explicitly provides a library ID in the format /org/project or /org/project/version.

IMPORTANT: Do not run these commands more than 3 times per question. If you cannot find what you need after 3 attempts, use the best result you have.

Step 1: Resolve a Library

Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.

npx ctx7@latest library React "How to clean up useEffect with async operations"
npx ctx7@latest library "Next.js" "How to set up app router with middleware"
npx ctx7@latest library Prisma "How to define one-to-many relations with cascade delete"

Use the official library name with proper punctuation (e.g., "Next.js" not "nextjs", "Customer.io" not "customerio", "Three.js" not "threejs"). If results look wrong, try alternate spellings such as next.js before changing the query.

Always pass a query argument — it is required and directly affects result ranking. Use the user's intent to form the query, which helps disambiguate when multiple libraries share a similar name. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

Result fields

Each result includes:

  • Library ID — Context7-compatible identifier (format: /org/project)
  • Name — Library or package name
  • Description — Short summary
  • Code Snippets — Number of available code examples
  • Source Reputation — Authority indicator (High, Medium, Low, or Unknown)
  • Benchmark Score — Quality indicator (100 is the highest score)
  • Versions — List of versions if available. Use one of those versions if the user provides a version in their query. The format is /org/project/version.
Selection process
  1. Analyze the query to understand what library/package the user is looking for
  2. Select the most relevant match based on:
    • Name similarity to the query (exact matches prioritized)
    • Description relevance to the query's intent
    • Documentation coverage (prioritize libraries with higher Code Snippet counts)
    • Source reputation (consider libraries with High or Medium reputation more authoritative)
    • Benchmark score (higher is better, 100 is the maximum)
  3. If multiple good matches exist, acknowledge this but proceed with the most relevant one
  4. If no good matches exist, clearly state this and suggest query refinements
  5. For ambiguous queries, request clarification before proceeding with a best-guess match
Version-specific IDs

If the user mentions a specific version, use a version-specific library ID:

# General (latest indexed)
npx ctx7@latest docs /vercel/next.js "How to set up app router"

# Version-specific
npx ctx7@latest docs /vercel/next.js/v14.3.0-canary.87 "How to set up app router"

The available versions are listed in the library command output. Use the closest match to what the user specified.

Step 2: Query Documentation

Retrieves up-to-date documentation and code examples for the resolved library.

npx ctx7@latest docs /facebook/react "How to clean up useEffect with async operations"
npx ctx7@latest docs /vercel/next.js "How to add authentication middleware to app router"
npx ctx7@latest docs /prisma/prisma "How to define one-to-many relations with cascade delete"
Writing good queries

The query directly affects the quality of results. Be specific and include relevant details, but keep each query to one topic — if the question spans multiple distinct concepts, run a separate docs command per concept instead of combining them, unless the question is about how the concepts interact. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

QualityExample
Good"How to set up authentication with JWT in Express.js"
Good"React useEffect cleanup function with async operations"
Bad (too vague)"auth"
Bad (too vague)"hooks"
Bad (too broad)"routing and auth and caching in Next.js"

Describe what to look up in the library's documentation, rather than the task to complete — vague one-word queries return generic results, and multi-topic queries dilute ranking and return shallow results for each topic.

The output contains two types of content: code snippets (titled, with language-tagged blocks) and info snippets (prose explanations with breadcrumb context).

Authentication

Works without authentication. For higher rate limits:

# Option A: environment variable
export CONTEXT7_API_KEY=your_key

# Option B: OAuth login
npx ctx7@latest login

Error Handling

If a command fails with a quota error ("Monthly quota reached" or "quota exceeded"):

  1. Inform the user their Context7 quota is exhausted
  2. Suggest they authenticate for higher limits: npx ctx7@latest login
  3. If they cannot or choose not to authenticate, answer from training knowledge and clearly note it may be outdated

Do not silently fall back to training data — always tell the user why Context7 was not used.

Common Mistakes

  • Library IDs require a / prefix — /facebook/react not facebook/react
  • Always run npx ctx7@latest library first — npx ctx7@latest docs react "hooks" will fail without a valid ID
  • Use descriptive queries, not single words — "React useEffect cleanup function" not "hooks"
  • One topic per query — split "routing and auth and caching" into a separate docs command per concept, unless the question is about how they interact
  • Do not include sensitive information (API keys, passwords, credentials) in queries
文件元数据
name: find-docs
description: >-
  Retrieves up-to-date documentation, API references, and code examples for any
  developer technology. Use this skill whenever the user asks about a specific
  library, framework, SDK, CLI tool, or cloud service — even for well-known ones
  like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your
  training data may not reflect recent API changes or version updates.

  Always use for: API syntax questions, configuration options, version migration
  issues, "how do I" questions mentioning a library name, debugging that involves
  library-specific behavior, setup instructions, and CLI tool usage.

  Use even when you think you know the answer — do not rely on training data
  for API details, signatures, or configuration options as they are frequently
  outdated. Always verify against current docs. Prefer this over web search for
  library documentation and API details.
查看原始文本
---
name: find-docs
description: >-
  Retrieves up-to-date documentation, API references, and code examples for any
  developer technology. Use this skill whenever the user asks about a specific
  library, framework, SDK, CLI tool, or cloud service — even for well-known ones
  like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your
  training data may not reflect recent API changes or version updates.

  Always use for: API syntax questions, configuration options, version migration
  issues, "how do I" questions mentioning a library name, debugging that involves
  library-specific behavior, setup instructions, and CLI tool usage.

  Use even when you think you know the answer — do not rely on training data
  for API details, signatures, or configuration options as they are frequently
  outdated. Always verify against current docs. Prefer this over web search for
  library documentation and API details.
---

# Documentation Lookup

Retrieve current documentation and code examples for any library using the Context7 CLI.

Run commands with `npx ctx7@latest` so setup always uses the latest CLI without a global install:

```bash
npx ctx7@latest library <name> "<query>"
npx ctx7@latest docs <libraryId> "<query>"
```

Optionally install globally if you prefer a bare `ctx7` command:

```bash
npm install -g ctx7@latest
```

## Workflow

Two-step process: resolve the library name to an ID, then query docs with that ID.

```bash
# Step 1: Resolve library ID
npx ctx7@latest library <name> "<query>"

# Step 2: Query documentation
npx ctx7@latest docs <libraryId> "<query>"
```

You MUST call `library` first to obtain a valid library ID UNLESS the user explicitly provides a library ID in the format `/org/project` or `/org/project/version`.

IMPORTANT: Do not run these commands more than 3 times per question. If you cannot find what you need after 3 attempts, use the best result you have.

## Step 1: Resolve a Library

Resolves a package/product name to a Context7-compatible library ID and returns matching libraries.

```bash
npx ctx7@latest library React "How to clean up useEffect with async operations"
npx ctx7@latest library "Next.js" "How to set up app router with middleware"
npx ctx7@latest library Prisma "How to define one-to-many relations with cascade delete"
```

Use the official library name with proper punctuation (e.g., "Next.js" not "nextjs", "Customer.io" not "customerio", "Three.js" not "threejs"). If results look wrong, try alternate spellings such as `next.js` before changing the query.

Always pass a `query` argument — it is required and directly affects result ranking. Use the user's intent to form the query, which helps disambiguate when multiple libraries share a similar name. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

### Result fields

Each result includes:

- **Library ID** — Context7-compatible identifier (format: `/org/project`)
- **Name** — Library or package name
- **Description** — Short summary
- **Code Snippets** — Number of available code examples
- **Source Reputation** — Authority indicator (High, Medium, Low, or Unknown)
- **Benchmark Score** — Quality indicator (100 is the highest score)
- **Versions** — List of versions if available. Use one of those versions if the user provides a version in their query. The format is `/org/project/version`.

### Selection process

1. Analyze the query to understand what library/package the user is looking for
2. Select the most relevant match based on:
   - Name similarity to the query (exact matches prioritized)
   - Description relevance to the query's intent
   - Documentation coverage (prioritize libraries with higher Code Snippet counts)
   - Source reputation (consider libraries with High or Medium reputation more authoritative)
   - Benchmark score (higher is better, 100 is the maximum)
3. If multiple good matches exist, acknowledge this but proceed with the most relevant one
4. If no good matches exist, clearly state this and suggest query refinements
5. For ambiguous queries, request clarification before proceeding with a best-guess match

### Version-specific IDs

If the user mentions a specific version, use a version-specific library ID:

```bash
# General (latest indexed)
npx ctx7@latest docs /vercel/next.js "How to set up app router"

# Version-specific
npx ctx7@latest docs /vercel/next.js/v14.3.0-canary.87 "How to set up app router"
```

The available versions are listed in the `library` command output. Use the closest match to what the user specified.

## Step 2: Query Documentation

Retrieves up-to-date documentation and code examples for the resolved library.

```bash
npx ctx7@latest docs /facebook/react "How to clean up useEffect with async operations"
npx ctx7@latest docs /vercel/next.js "How to add authentication middleware to app router"
npx ctx7@latest docs /prisma/prisma "How to define one-to-many relations with cascade delete"
```

### Writing good queries

The query directly affects the quality of results. Be specific and include relevant details, but keep each query to one topic — if the question spans multiple distinct concepts, run a separate `docs` command per concept instead of combining them, unless the question is about how the concepts interact. Do not include any sensitive or confidential information such as API keys, passwords, credentials, personal data, or proprietary code in your query.

| Quality | Example |
|---------|---------|
| Good | `"How to set up authentication with JWT in Express.js"` |
| Good | `"React useEffect cleanup function with async operations"` |
| Bad (too vague) | `"auth"` |
| Bad (too vague) | `"hooks"` |
| Bad (too broad) | `"routing and auth and caching in Next.js"` |

Describe what to look up in the library's documentation, rather than the task to complete — vague one-word queries return generic results, and multi-topic queries dilute ranking and return shallow results for each topic.

The output contains two types of content: **code snippets** (titled, with language-tagged blocks) and **info snippets** (prose explanations with breadcrumb context).

## Authentication

Works without authentication. For higher rate limits:

```bash
# Option A: environment variable
export CONTEXT7_API_KEY=your_key

# Option B: OAuth login
npx ctx7@latest login
```

## Error Handling

If a command fails with a quota error ("Monthly quota reached" or "quota exceeded"):
1. Inform the user their Context7 quota is exhausted
2. Suggest they authenticate for higher limits: `npx ctx7@latest login`
3. If they cannot or choose not to authenticate, answer from training knowledge and clearly note it may be outdated

Do not silently fall back to training data — always tell the user why Context7 was not used.

## Common Mistakes

- Library IDs require a `/` prefix — `/facebook/react` not `facebook/react`
- Always run `npx ctx7@latest library` first — `npx ctx7@latest docs react "hooks"` will fail without a valid ID
- Use descriptive queries, not single words — `"React useEffect cleanup function"` not `"hooks"`
- One topic per query — split `"routing and auth and caching"` into a separate `docs` command per concept, unless the question is about how they interact
- Do not include sensitive information (API keys, passwords, credentials) in queries

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安装前审查: 避免自动安装

许可证: Apache-2.0

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 481 stars, 44 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
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从一个小任务开始

  1. 1阅读来源,确认输入、预期输出、依赖和权限。
  2. 2先让 Agent 提出计划,批准环境配置和费用,再进行隔离的小规模测试。
  3. 3检查输出和变更文件,只报告实际执行结果,并保留来源版本以便复现。

请在来源中核实依赖、API 密钥及第三方费用。公开仓库不代表所有服务免费。

来源与使用须知

已收录

仓库元数据和审核信号仅供参考。受欢迎、已发现来源、成功运行是不同的事实。

来源仓库
mxyhi/ok-skills
许可证
Apache-2.0
版本
1.0.0
最近 GitHub 推送
2026年9月2日
目录更新于
2026年10月9日

版本来自目录元数据,使用前请核实来源发布记录。

质量

70/100

强

信任

62/100

仅限沙盒

审计

75/100

需审查

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 481 stars, 44 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
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结果
—

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Agent 接入

本页通过 Registry API 提供相同的决策、信任、审计、场景和安装信号,让 Agent 无需抓取界面即可排序。

更多详情
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    "description": "Retrieves up-to-date documentation, API references, and code examples for any developer technology. Use this skill whenever the user asks about a specific library, framework, SDK, CLI tool, or cloud service — even for well-known ones like React, Next.js, Prisma, Express, Tailwind, Django, or Spring Boot. Your training data may not reflect recent API changes or version updates. Always use for: API syntax questions, configuration options, version migration issues, \"how do I\" questions mentioning a library name, debugging that involves library-specific behavior, setup instructions, and CLI tool usage. Use even when you think you know the answer — do not rely on training data for API details, signatures, or configuration options as they are frequently outdated. Always verify against current docs. Prefer this over web search for library documentation and API details.",
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      "installSafety": "standard package or runtime install path",
      "permissionSurface": "secrets or environment access, shell or command execution",
      "documentation": "Strong README/SKILL.md context",
      "agentOutcomes": "No agent outcome data yet"
    },
    "outcome_evidence": {
      "total": 0,
      "successes": 0,
      "failures": 0,
      "not_relevant": 0,
      "success_rate": null,
      "recent_success_rate": null,
      "recent_failure_rate": null,
      "install_attempts": 0,
      "install_success_rate": null,
      "risk_blocked": 0,
      "setup_required": 0,
      "avg_output_quality": null,
      "production_outcomes": 0,
      "last_outcome_at": null,
      "label": "No agent outcome data yet"
    },
    "auto_install": {
      "allowed": false,
      "sandbox_required": true,
      "reason": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
    },
    "best_for": [
      "automation",
      "agent-skill"
    ],
    "known_risks": [
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 481 stars, 44 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 75,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Stars/forks activity: 481 stars, 44 forks; issue activity unavailable in current metadata",
      "Dependency/runtime risk: command execution surface, credential or environment access"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 70,
    "label": "Strong"
  },
  "supply": {
    "track": "Coding and developer agents",
    "scenario": "Coding agents",
    "maintenance": "1mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 83,
      "audit_score": 90
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "high-compliance environments without internal security review",
    "No major risk signals from current metadata",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "Financial research output is not financial advice; require human review before any live investment decision",
    "Financial research output is not financial advice; require human review before any live investment decision."
  ],
  "agent_contract": {
    "task_input": "Use find-docs in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 70/100 Manual review",
      "Audit: 75/100 Needs review",
      "Safety: 31/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "mxyhi-find-docs (find-docs)",
      "install_command": "npx skills add mxyhi/ok-skills --skill find-docs",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "mxyhi-find-docs",
      "task": "Use find-docs in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/mxyhi-find-docs",
    "api": "https://www.openagentskill.com/api/agent/skills/mxyhi-find-docs",
    "audit": "https://www.openagentskill.com/skills/mxyhi-find-docs/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=mxyhi-find-docs&task=Use%20find-docs%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20find-docs%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20find-docs%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/mxyhi-find-docs/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/mxyhi-find-docs"
  }
}

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