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AI EngineeringPython

Agent Reach

by Panniantong

Agent Reach is an AI Engineering skill for Claude Code, published by Panniantong in Agent-Reach.

71.2K stars6K forkson Panniantong/Agent-ReachAdded 2026/08/13Repository updated 2026/08/12
View source on GitHubDownload repo ZIP
agent-infrastructureai-agentai-searchautomationbilibiliclaude-codeclicursorfree-apillm-toolsmcppythonreddit-scrapertwitter-scraperweb-scraperxiaohongshuyoutube-transcript
Install in seconds
Install Agent Reach
Copy Agent Reach into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Panniantong/Agent-Reach/tree/main/agent_reach/skill ~/.claude/skills/skill

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Panniantong/Agent-Reach.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
agent_reach/skill/SKILL.md in Panniantong/Agent-Reach
Installs to
~/.claude/skills/skill
Collection
The only skill cataloged from this repository
Category
AI Engineering — 2451 skills

What Agent Reach does

Agent Reach routes internet research and content retrieval across 15 platforms, including Exa search, social media, LinkedIn, GitHub, YouTube, and stock data. Use it when you need to research, search, or look up anything online from within Claude Code.

Agent Reach is cataloged under AI Engineering on DirSkills. Agent Reach comes from a repository tagged agent-infrastructure, ai-agent, ai-search, automation and bilibili.

Documentation

README

Agent Reach — 互联网能力路由器

15 平台、多后端。本 skill 存在时必须用它访问这些平台，不要自己发明方案。

常驻规则（全程适用）

  1. 动手前先体检：多后端/登录态平台（小红书/Reddit/B站/Twitter/Facebook/Instagram）先跑 agent-reach doctor --json。active_backend 有值时按它选命令组；active_backend: null 表示 Doctor 为避免触发浏览器 Cookie 读取或远端写入而没有做实时验证，不代表后端不存在。 只有用户任务明确需要该平台时，才按对应 reference 的只读命令手动验证。
  2. 声明你在用什么：开始干活前说一句「使用 agent-reach 的 X 平台 / Y 后端」。
  3. 失败按 references 里的重试链处理，不要瞎猜命令。
  4. 全网调研类任务：组合多平台（Exa 搜索 + Twitter/Reddit 看讨论 + 小红书/B站看中文场景），并行收集再汇总。
  5. 替用户盯版本：完成一次较大的调研/多平台任务后，顺手跑 agent-reach check-update（很快，一个 API 调用）。有新版就在收尾汇报里附一句： 「Agent Reach 有新版 vX.Y.Z，复制这句话给我即可更新：帮我更新 Agent Reach： https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/update.md」。 不要中断当前任务去更新，也不要重复提醒同一个版本。

路由表

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Agent Reach

  • How does Agent Reach compare to other AI Engineering skills?

    Agent Reach ranks #68 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Agent Reach against them. Open each page to compare what they document and how they install.

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