feat(skill): refactor skill system with router + references structure (#192)

Refactors SKILL.md into a router + reference documentation system:
- Main SKILL.md now contains routing table and quick commands
- Detailed docs split into references/ (search, social, career, dev, web, video)
- CLI skill install copies entire directory including references/
- Resolves conflicts with recent merges (#210, #213)
- Fixes xreach→bird in quick commands

Original PR by @Citrus086, merged with conflict resolution.

Co-Authored-By: Citrus086 <Citrus086@users.noreply.github.com>
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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name: agent-reach
description: >
Give your AI agent eyes to see the entire internet.
Search and read 17 platforms: Twitter/X, Reddit, YouTube, GitHub, Bilibili,
XiaoHongShu, Douyin, Weibo, WeChat Articles, Xiaoyuzhou Podcast, LinkedIn,
V2EX, Xueqiu, RSS, Exa web search, and any web page.
Zero config for 8 channels. Use when user asks to search, read, or interact
on any supported platform, shares a URL, or asks to search the web.
Triggers: "搜推特", "搜小红书", "看视频", "搜一下", "上网搜", "帮我查",
"search twitter", "youtube transcript", "search reddit", "read this link",
"B站", "bilibili", "抖音视频", "微信文章", "公众号", "微博", "V2EX",
"小宇宙", "播客", "podcast", "雪球", "股票", "stock quote",
"web search", "research", "帮我安装".
17 platforms via CLI, MCP, curl, and Python scripts.
Zero config for 8 channels.
【路由方式】SKILL.md 包含路由表和常用命令,复杂场景需按需阅读对应分类的 references/*.md。
分类:search / social (小红书/抖音/微博/推特/B站/V2EX/Reddit) / career(LinkedIn) / dev(github) / web(网页/文章/公众号/RSS) / video(YouTube/B站/播客).
Use when user asks to search, read, or interact on any supported platform,
shares a URL, or asks to search the web.
triggers:
- search: 搜/查/找/search/搜索/查一下/帮我搜
- social:
- 小红书: xiaohongshu/xhs/小红书/红书
- 抖音: douyin/抖音
- Twitter: twitter/推特/x.com/推文
- 微博: weibo/微博
- B站: bilibili/b站/哔哩哔哩
- V2EX: v2ex
- Reddit: reddit
- career: 招聘/职位/求职/linkedin/领英/找工作
- dev: github/代码/仓库/gh/issue/pr/分支/commit
- web: 网页/链接/文章/公众号/微信文章/rss/读一下/打开这个
- video: youtube/视频/播客/字幕/小宇宙/转录/yt
- finance: 雪球/股票/stock/xueqiu/行情/基金
metadata:
openclaw:
homepage: https://github.com/Panniantong/Agent-Reach
---
# Agent Reach — Usage Guide
# Agent Reach — 路由器
Upstream tools for 13+ platforms. Call them directly.
17 平台工具集合。根据用户意图选择对应分类。
Run `agent-reach doctor` to check which channels are available.
## 路由表
## ⚠️ Workspace Rules
| 用户意图 | 分类 | 详细文档 |
|---------|------|---------|
| 网页搜索/代码搜索 | search | [references/search.md](references/search.md) |
| 小红书/抖音/微博/推特/B站/V2EX/Reddit | social | [references/social.md](references/social.md) |
| 招聘/职位/LinkedIn | career | [references/career.md](references/career.md) |
| GitHub/代码 | dev | [references/dev.md](references/dev.md) |
| 网页/文章/公众号/RSS | web | [references/web.md](references/web.md) |
| YouTube/B站/播客字幕 | video | [references/video.md](references/video.md) |
**Never create files in the agent workspace.** Use `/tmp/` for temporary output and `~/.agent-reach/` for persistent data.
## Web — Any URL
```bash
curl -s "https://r.jina.ai/URL"
```
## Web Search (Exa)
## 零配置快速命令
```bash
# Exa 网页搜索
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
mcporter call 'exa.get_code_context_exa(query: "code question", tokensNum: 3000)'
```
## Twitter/X (bird)
# 通用网页阅读
curl -s "https://r.jina.ai/URL"
```bash
bird search "query" -n 10 # search
bird read URL_OR_ID # read tweet (supports /status/ and /article/ URLs)
bird user-tweets @username -n 20 # user timeline
bird thread URL_OR_ID # full thread
```
## YouTube (yt-dlp)
```bash
yt-dlp --dump-json "URL" # video metadata
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --skip-download -o "/tmp/%(id)s" "URL"
# download subtitles, then read the .vtt file
yt-dlp --dump-json "ytsearch5:query" # search
```
## Bilibili (yt-dlp)
```bash
yt-dlp --dump-json "https://www.bilibili.com/video/BVxxx"
yt-dlp --write-sub --write-auto-sub --sub-lang "zh-Hans,zh,en" --convert-subs vtt --skip-download -o "/tmp/%(id)s" "URL"
```
> Server IPs may get 412. Use `--cookies-from-browser chrome` or configure proxy.
## Reddit
```bash
curl -s "https://www.reddit.com/r/SUBREDDIT/hot.json?limit=10" -H "User-Agent: agent-reach/1.0"
curl -s "https://www.reddit.com/search.json?q=QUERY&limit=10" -H "User-Agent: agent-reach/1.0"
```
> Server IPs may get 403. Search via Exa instead, or configure proxy.
## GitHub (gh CLI)
```bash
# GitHub 搜索
gh search repos "query" --sort stars --limit 10
gh repo view owner/repo
gh search code "query" --language python
gh issue list -R owner/repo --state open
gh issue view 123 -R owner/repo
```
## 小红书 / XiaoHongShu (mcporter)
# Twitter 搜索
bird search "query" -n 10
```bash
mcporter call 'xiaohongshu.search_feeds(keyword: "query")'
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy")'
mcporter call 'xiaohongshu.get_feed_detail(feed_id: "xxx", xsec_token: "yyy", load_all_comments: true)'
mcporter call 'xiaohongshu.publish_content(title: "标题", content: "正文", images: ["/path/img.jpg"], tags: ["tag"])'
```
# YouTube/B站字幕
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"
> Requires login. Use Cookie-Editor to import cookies.
> **Tip: Clean bloated output.** XHS API returns large JSON with many unused fields.
> Pipe through the formatter to save context:
> ```bash
> mcporter call 'xiaohongshu.search_feeds(keyword: "query")' | agent-reach format xhs
> ```
> This keeps only: title, content, author, engagement counts, image URLs, and tags.
## 抖音 / Douyin (mcporter)
```bash
mcporter call 'douyin.parse_douyin_video_info(share_link: "https://v.douyin.com/xxx/")'
mcporter call 'douyin.get_douyin_download_link(share_link: "https://v.douyin.com/xxx/")'
```
> No login needed.
## 微信公众号 / WeChat Articles
**Search** (miku_ai):
```bash
# miku_ai is installed inside the agent-reach Python environment.
# Use the same interpreter that runs agent-reach (handles pipx / venv installs):
AGENT_REACH_PYTHON=$(python3 -c "import agent_reach, sys; print(sys.executable)" 2>/dev/null || echo python3)
$AGENT_REACH_PYTHON -c "
import asyncio
from miku_ai import get_wexin_article
async def s():
for a in await get_wexin_article(\'query\', 5):
print(f\'{a[\"title\"]} | {a[\"url\"]}\')
asyncio.run(s())
"
```
**Read** (Camoufox — bypasses WeChat anti-bot):
```bash
cd ~/.agent-reach/tools/wechat-article-for-ai && python3 main.py "https://mp.weixin.qq.com/s/ARTICLE_ID"
```
> WeChat articles cannot be read with Jina Reader or curl. Must use Camoufox.
## 微博 / Weibo (mcporter)
```bash
# 热搜榜
mcporter call 'weibo.get_trendings(limit: 20)'
# 搜索用户
mcporter call 'weibo.search_users(keyword: "雷军", limit: 10)'
# 获取用户资料
mcporter call 'weibo.get_profile(uid: "1195230310")'
# 获取用户微博动态
mcporter call 'weibo.get_feeds(uid: "1195230310", limit: 20)'
# 获取用户热门微博
mcporter call 'weibo.get_hot_feeds(uid: "1195230310", limit: 10)'
# 搜索微博内容
mcporter call 'weibo.search_content(keyword: "人工智能", limit: 20)'
# 搜索话题
mcporter call 'weibo.search_topics(keyword: "AI", limit: 10)'
# 获取微博评论
mcporter call 'weibo.get_comments(mid: "5099916367123456", limit: 50)'
# 获取粉丝列表
mcporter call 'weibo.get_fans(uid: "1195230310", limit: 20)'
# 获取关注列表
mcporter call 'weibo.get_followers(uid: "1195230310", limit: 20)'
```
> Zero config. No login needed. Uses mobile API with auto visitor cookies.
## 小宇宙播客 / Xiaoyuzhou Podcast (groq-whisper + ffmpeg)
```bash
# 转录单集播客(输出文本到 /tmp/)
~/.agent-reach/tools/xiaoyuzhou/transcribe.sh "https://www.xiaoyuzhoufm.com/episode/EPISODE_ID"
```
> 需要 ffmpeg + Groq API Key(免费)。
> 配置 Key`agent-reach configure groq-key YOUR_KEY`
> 首次运行需安装工具:`agent-reach install --env=auto`
> 运行 `agent-reach doctor` 检查状态。
> 输出 Markdown 文件默认保存到 `/tmp/`。
## LinkedIn (mcporter)
```bash
mcporter call 'linkedin.get_person_profile(linkedin_url: "https://linkedin.com/in/username")'
mcporter call 'linkedin.search_people(keyword: "AI engineer", limit: 10)'
```
Fallback: `curl -s "https://r.jina.ai/https://linkedin.com/in/username"`
## V2EX (public API)
```bash
# 热门主题
# V2EX 热门
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"
# 节点主题(node_name 如 python、tech、jobs、qna
curl -s "https://www.v2ex.com/api/topics/show.json?node_name=python&page=1" -H "User-Agent: agent-reach/1.0"
# 主题详情(topic_id 从 URL 获取,如 https://www.v2ex.com/t/1234567
curl -s "https://www.v2ex.com/api/topics/show.json?id=TOPIC_ID" -H "User-Agent: agent-reach/1.0"
# 主题回复
curl -s "https://www.v2ex.com/api/replies/show.json?topic_id=TOPIC_ID&page=1" -H "User-Agent: agent-reach/1.0"
# 用户信息
curl -s "https://www.v2ex.com/api/members/show.json?username=USERNAME" -H "User-Agent: agent-reach/1.0"
```
Python 调用示例(V2EXChannel):
## 环境检查
```python
from agent_reach.channels.v2ex import V2EXChannel
```bash
# 检查可用 channel
agent-reach doctor
ch = V2EXChannel()
# 获取热门帖子(默认 20 条)
# 返回字段:id, title, url, replies, node_name, node_title, content(前200字), created
topics = ch.get_hot_topics(limit=10)
for t in topics:
print(f"[{t['node_title']}] {t['title']} ({t['replies']} 回复) {t['url']}")
print(f" id={t['id']} created={t['created']}")
# 获取指定节点的最新帖子
# 返回字段:id, title, url, replies, node_name, node_title, content(前200字), created
node_topics = ch.get_node_topics("python", limit=5)
for t in node_topics:
print(t["id"], t["title"], t["url"])
# 获取单个帖子详情 + 回复列表
# 返回字段:id, title, url, content, replies_count, node_name, node_title,
# author, created, replies (list of {author, content, created})
topic = ch.get_topic(1234567)
print(topic["title"], "", topic["author"])
for r in topic["replies"]:
print(f" {r['author']}: {r['content'][:80]}")
# 获取用户信息
# 返回字段:id, username, url, website, twitter, psn, github, btc, location, bio, avatar, created
user = ch.get_user("Livid")
print(user["username"], user["bio"], user["github"])
# 搜索(V2EX 公开 API 不支持,会返回说明信息)
result = ch.search("asyncio")
print(result[0]["error"]) # 提示使用站内搜索或 Exa channel
# 查看所有 MCP 服务
mcporter_list_servers()
```
> No auth required. Results are public JSON. V2EX 节点名见 https://www.v2ex.com/planes
## 工作区规则
## 雪球 / Xueqiu (需要登录 Cookie)
**不要在 agent workspace 创建文件。** 使用 `/tmp/` 存放临时输出,`~/.agent-reach/` 存放持久数据。
```python
from agent_reach.channels.xueqiu import XueqiuChannel
## 详细文档
ch = XueqiuChannel()
根据用户需求,阅读对应的详细文档:
# 获取股票行情(符号格式:SH600519 沪市、SZ000858 深市、AAPL 美股、00700 港股)
# 返回字段:symbol, name, current, percent, chg, high, low, open, last_close,
# volume, amount, market_capital, turnover_rate, pe_ttm, timestamp
quote = ch.get_stock_quote("SH600519")
print(f"{quote['name']} ({quote['symbol']}): {quote['current']} ({quote['percent']}%)")
- [搜索工具](references/search.md) — Exa AI 搜索
- [社交媒体](references/social.md) — 小红书, 抖音, Twitter, B站, V2EX, Reddit
- [职场招聘](references/career.md) — LinkedIn
- [开发工具](references/dev.md) — GitHub CLI
- [网页阅读](references/web.md) — Jina Reader, 微信公众号, RSS
- [视频播客](references/video.md) — YouTube, B站, 小宇宙
# 搜索股票
# 返回字段:symbol, name, exchange
stocks = ch.search_stock("茅台", limit=5)
for s in stocks:
print(f"{s['name']} ({s['symbol']}) - {s['exchange']}")
## 配置渠道
# 热门帖子(v4 timeline,含作者、点赞数、正文)
# 返回字段:id, title, text(前200字), author, likes, url
posts = ch.get_hot_posts(limit=10)
for p in posts:
print(f"{p['author']}: {p['text'][:50]}... ({p['likes']} 赞)")
# 热门股票(stock_type=10 人气榜,stock_type=12 关注榜)
# 返回字段:symbol, name, current, percent, rank
hot = ch.get_hot_stocks(limit=10, stock_type=10)
for s in hot:
print(f"#{s['rank']} {s['name']} ({s['symbol']}): {s['current']} ({s['percent']}%)")
```
> 需要登录 Cookie。先在 Chrome 登录 xueqiu.com,再运行 `agent-reach configure --from-browser chrome`。
## RSS (feedparser)
## RSS
```python
python3 -c "
import feedparser
for e in feedparser.parse('FEED_URL').entries[:5]:
print(f'{e.title}{e.link}')
"
```
## Troubleshooting
- **Channel not working?** Run `agent-reach doctor` — shows status and fix instructions.
- **Twitter fetch failed?** Ensure `undici` is installed: `npm install -g undici`. Configure proxy: `agent-reach configure proxy URL`.
## Setting Up a Channel ("帮我配 XXX")
If a channel needs setup (cookies, Docker, etc.), fetch the install guide:
如果某个 channel 需要配置,获取安装指南:
https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
User only provides cookies. Everything else is your job.
用户只需提供 cookies,其他配置由 agent 完成。