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docsforaidocsforai 文档

Agent Skill

docsforai 用于处理浏览器自动化、网页检查和页面信息提取,适合在 OpenClaw 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,651

周安装

190

GitHub Stars

1

下载量

1,505
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:docsforai(docsforai 文档)
来源仓库:https://github.com/dx2331lxz/docsforai
安装命令:
openclaw skills install docsforai
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install docsforai

简介

爬取与阅读官方文档网站以学习新技术栈。

  • 适用于理解新库、框架或工具的使用方法与最佳实践。
  • 返回结构化知识点与代码示例片段。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 受限于网站反爬机制,部分站点可能无法完整抓取。
  • docsforai 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
docsforai
description
Crawl and read documentation websites using DocsForAI. Use when you need to learn a new library, framework, or tool by reading its official docs; when you want to look up how something works from documentation; when writing or debugging code that requires understanding of a specific SDK/API; when the user asks you to "read the docs", "check the documentation", or "learn how to use X". Supports VitePress, Docsify, Mintlify, Docusaurus, mdBook, MkDocs, Starlight, GitBook, Feishu Docs, and generic sites. Auto-detects framework type.
metadata
openclaw
requires
bins
["docsforai"]
install
kind
uv
package
docsforai
bins
["docsforai"]
label
Install DocsForAI (PyPI)

DocsForAI — Documentation Crawler Skill

Crawl any documentation website into structured, persistent Markdown files and read them on demand — so you always work from accurate, up-to-date documentation rather than training-data guesses.

Source: https://pypi.org/project/docsforai/ | https://github.com/dx2331lxz/DocsForAI | Latest: 0.6.0


Install (one-time)

uv tool install docsforai   # recommended: isolated, no system Python pollution
pip install --break-system-packages docsforai  # fallback if uv unavailable

Verify: docsforai --version


Core Principles

Always use multi-md format. It preserves the site's original chapter hierarchy as individual files, so you can navigate to exactly the section you need without loading the entire documentation into context.

Output rule: docsforai writes directly to <output>/<site-name>/ — no extra subdirectory is created.

Docs are persistent. Once crawled, they live on disk across sessions. Check before crawling; never re-crawl what already exists.


Workflow

Step 1 — Check if docs already exist

Before doing anything else, check both the local filesystem and MEMORY.md:

ls ~/.openclaw/workspace/skills/docsforai/docs/

Also look up the 「已下载文档(DocsForAI)」 section in MEMORY.md for a record of previously crawled sites and their paths.

If the site folder already exists → skip to Step 3.

Step 2 — Crawl (only if not already downloaded)

Always pass the skill's docs/ directory as -o. DocsForAI creates <site-name>/ inside it automatically.

docsforai crawl <URL> -f multi-md \
  -o ~/.openclaw/workspace/skills/docsforai/docs

Common examples:

URLSite nameFinal path
https://vitepress.dev/guidevitepressdocs/vitepress/
https://docs.pydantic.devpydanticdocs/pydantic/
https://docusaurus.io/docsdocusaurusdocs/docusaurus/
https://react.dev/learnreactdocs/react/
https://docs.python.org/3pythondocs/python/

After crawling completes, proceed to Step 2b.

Step 2b — Record to MEMORY.md (required)

Append a row to the 「已下载文档(DocsForAI)」section in MEMORY.md. Create the section if it doesn't exist yet:

## 已下载文档(DocsForAI)

| Site | Local path | Crawled |
|---|---|---|
| vitepress | ~/.openclaw/workspace/skills/docsforai/docs/vitepress/ | 2026-04-02 |

Never overwrite existing rows — always append.

Step 3 — Map the structure

Before reading any file, get a full picture of the directory tree:

find ~/.openclaw/workspace/skills/docsforai/docs/<site-name> -name "*.md" | sort

Scan the output. Identify which subdirectories and files correspond to the topic you need. This costs nothing and saves you from loading irrelevant chapters.

Step 4 — Read on demand (the most important step)

Load only what is directly relevant to the current task. Follow this decision tree:

4a. You need a quick orientation

Read the top-level index first:

read ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/index.md

4b. You know roughly what you need

Read the specific chapter file directly:

read ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/guide/configuration.md
read ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/reference/api.md

4c. You need to find where something is documented

Search across all files for a keyword, then read only the matching file:

# Find which file covers a specific topic
grep -rl "defineConfig\|plugin\|vite" \
  ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/ | head -10

4d. You need to understand a full feature area

Read the section index, then follow up with the specific sub-pages you need:

# Read section overview
read ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/guide/index.md

# Then read only the sub-pages that apply
read ~/.openclaw/workspace/skills/docsforai/docs/<site-name>/guide/routing.md

Rules:

  • Never read the entire docs tree in one go
  • Stop reading once you have enough to proceed
  • If you read something and it's not what you needed, search more precisely rather than loading more files

When to Consult Docs (decision guide)

Use this skill proactively whenever you are about to:

SituationAction
Use an API you haven't used in this sessionRead the relevant API reference page
Write configuration for a frameworkRead the configuration guide
Debug an unexpected behaviorSearch docs for the error or behavior, read matching section
Use a CLI tool you're unfamiliar withRead the CLI reference page
Implement a non-trivial featureRead the feature's guide page before writing code
Upgrade a library versionCheck migration or changelog docs first

Do not guess at API signatures, config options, or CLI flags when the docs are available on disk. A 2-second read beats a hallucinated parameter.


CLI Reference

# Standard crawl
docsforai crawl <URL> -f multi-md -o <output-dir>

# Force framework type (skip auto-detection)
docsforai crawl <URL> --type nextdocs -f multi-md -o <output-dir>
docsforai crawl <URL> --type mkdocs -f multi-md -o <output-dir>

# Polite crawling (for rate-sensitive sites)
docsforai crawl <URL> -f multi-md --concurrency 2 --delay 0.5 -o <output-dir>

# Limit pages (generic mode only)
docsforai crawl <URL> -f multi-md --max-pages 100 -o <output-dir>

Supported Frameworks (auto-detected)

FrameworkDetection signal
VitePress.VPSidebar CSS class / generator meta
Docsify$docsify global variable — fetches raw .md source
Mintlifyx-llms-txt response header — single request for full content
Docusaurusgenerator meta / .theme-doc-sidebar-container
mdBook#mdbook-sidebar / ol.chapter
MkDocsgenerator meta / .md-nav--primary (Material + default themes)
Starlight#starlight__sidebar / .sl-markdown-content
GitBookgenerator meta GitBook / sitemap-based discovery
NextDocs/_next/ assets + .mdx-content — sitemap discovery + sidebar fallback
Feishu Docsopen.feishu.cn domain — internal API
GenericBFS link traversal — fallback for any other site

Tips

  • Mintlify sites fetch everything in one request — near-instant
  • Cloudflare-protected sites — DocsForAI auto-retries with system curl
  • Count total pages: find ~/.openclaw/workspace/skills/docsforai/docs/<site> -name "*.md" | wc -l
  • Re-crawl to refresh: delete the site folder first, then crawl again

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

90.28%
按下载量换算1,359

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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