claude/skills/agent-reach/SKILL.md
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".
npx skillsauth add kendreaditya/.config agent-reachInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Upstream tools for 13+ platforms. Call them directly.
Run agent-reach doctor to check which channels are available.
Never create files in the agent workspace. Use /tmp/ for temporary output and ~/.agent-reach/ for persistent data.
curl -s "https://r.jina.ai/URL"
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'
mcporter call 'exa.get_code_context_exa(query: "code question", tokensNum: 3000)'
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
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
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 chromeor configure proxy.
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.
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
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"])'
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:
mcporter call 'xiaohongshu.search_feeds(keyword: "query")' | agent-reach format xhsThis keeps only: title, content, author, engagement counts, image URLs, and tags.
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.
Search (miku_ai):
# 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):
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.
# 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.
# 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/。
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"
# 热门主题
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):
from agent_reach.channels.v2ex import V2EXChannel
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
No auth required. Results are public JSON. V2EX 节点名见 https://www.v2ex.com/planes
from agent_reach.channels.xueqiu import XueqiuChannel
ch = XueqiuChannel()
# 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']}")
# 热门帖子
# 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']}%)")
无需登录。自动获取会话 Cookie,所有公开 API 均可直接使用。
python3 -c "
import feedparser
for e in feedparser.parse('FEED_URL').entries[:5]:
print(f'{e.title} — {e.link}')
"
agent-reach doctor — shows status and fix instructions.undici is installed: npm install -g undici. Configure proxy: agent-reach configure proxy URL.If a channel needs setup (cookies, Docker, etc.), fetch the install guide: https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md
User only provides cookies. Everything else is your job.
development
Search and read content from leetcode.com — problem catalog, daily challenge, full problem statements with hints and starter code, the Discuss forum (interview experiences, comp posts, layoff threads), and company question-list metadata. Read-only, no auth, no API key. Use when the user wants to look up a LeetCode problem by name/number/slug, see today's daily challenge, search Discuss for interview write-ups at a specific company (Google, Waymo, Meta, Amazon, etc.), browse a tag-filtered discuss feed, read a Discuss post + comments, or check what a LeetCode company list covers. Triggers — "lcsearch", "leetcode search", "search leetcode", "leetcode discuss", "leetcode problem", "daily leetcode", "interview discuss", "what's the leetcode for X", URLs containing leetcode.com/problems/, leetcode.com/discuss/, or leetcode.com/company/. Pair with the `interviewcoder` skill (structured leetcode-style writeups from 1point3acres) and `blind` (anonymous workplace chatter) for the same companies.
development
Terminal Spotify playback/search via spogo (preferred) or spotify_player.
development
Search and read posts from interviewcoder.co — a Next.js-fronted aggregator of technical-interview writeups (largely sourced from 1point3acres) tagged by company, position, stage (Phone Screen / OA / Onsite / etc.), period, job type, and structured leetcode-style questions. Use when the user wants real interview questions for a specific company, recent writeups from a hiring loop, leetcode-style problems with tags and difficulty, or to look up a specific interviewcoder.co URL. Read-only, no auth, no API key. Triggers — "interviewcoder", "interviewcoder.co", "interview questions at [company]", "what's been asked at [company] recently", "interview writeup", and URLs containing interviewcoder.co.
tools
Small Yahoo Finance CLI for ticker info + N-year stock returns. Use when the user asks about: stock price, market cap, sector/industry classification, dividend yield, P/E ratio, beta, 52-week range, N-year stock return, company description for a public company. Triggers: 'yfinance', 'yfin', 'stock price', 'market cap of', 'how much has X stock returned', 'sector for ticker', 'industry classification'. Pairs with the levels-fyi skill for cross-checking public/private status (levels gives ticker, yfin returns live data).