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agent-reach Skill Install & Guide

SkillSkillsMP

io.github.Panniantong/Agent-Reach/skill

MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/Boss直聘/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 16 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工（本 skill 只负责从互联网获取内容）； 发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。 【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/推特/B站/V2EX/Reddit/Facebook/Instagram) / career(LinkedIn/Boss直聘) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客) / finance(雪球/股票)。

View on SkillsMP ↗Repository ↗

Copy the install config on this page first, then verify docs and permissions upstream.

Popularity

Repo stars97.8k

Overview

MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。 Also MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/Boss直聘/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL. 16 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: 写报告/数据分析/翻译等内容加工（本 skill 只负责从互联网获取内容）； 发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。 【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/推特/B站/V2EX/Reddit/Facebook/Instagram) / career(LinkedIn/Boss直聘) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客) / finance(雪球/股票)。 agent-reach is a Agent Skill listed from SkillsMP. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.

Use cases

Code review & GitHubCursor essentials

AgentHub Verified AvailabilityTested & Ready

Automated pipeline validated install commands, protocol & client compatibility

Verified At2026-10-22
Install Snippets TestedCLI & JSON config syntax verified
Protocol Handshake ReadyComplies with JSON-RPC 2.0 specifications
Origin Registry ActiveSourced from skillsmp
Verified ClientsClaude Code、Claude Desktop、Cursor 等
Security Tier: A+ 级 · 零权限本地沙盒 (A+)·Scanned for high-risk vulnerabilities. Recommended to run with project-scoped permissions.

Send this prompt to your AI to install the Skill

Recommended
Target client (auto-optimizes prompt):
PROMPT >

Follow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "Panniantong/Agent-Reach@skill" without asking, and tell me how to verify it afterwards.

💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.

Copy by platformAlternative

Choose your platform

Choose install method

Click to copy snippet
# 改 -a 切换客户端：trae | lingma | codebuddy | kimi-code-cli | qwen-code | cursor | claude-code | windsurf | cline | github-copilot | codex
npx skills add Panniantong/Agent-Reach@skill -a cursor -y

Setup tutorial

  1. Open the agent-reach page and confirm the source is SkillsMP.
  2. Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
  3. Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
  4. Reload the client, then describe your task so the agent can match this skill.

Install commands

Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.

Universal — Skills CLI (recommended)

Skills CLI

# 改 -a 切换客户端：trae | lingma | codebuddy | kimi-code-cli | qwen-code | cursor | claude-code | windsurf | cline | github-copilot | codex
npx skills add Panniantong/Agent-Reach@skill -a cursor -y

AgentHub CLI (change --ai)

# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai cursor -y

Cursor

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a cursor -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai cursor -y

Project directory

mkdir -p .cursor/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .cursor/skills/skill/SKILL.md
# 如有 scripts/ references/ assets/ 请一并复制

User directory

mkdir -p ~/.cursor/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.cursor/skills/skill/SKILL.md

Trae (ByteDance)

  1. Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
  2. Copy and run the command in your project terminal to download SKILL.md
  3. Reload Trae window, then describe your task in AI chat to activate automatically

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a trae -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai trae -y

Project directory

mkdir -p .trae/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .trae/skills/skill/SKILL.md

User directory

mkdir -p ~/.trae/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.trae/skills/skill/SKILL.md

Tongyi Lingma (Alibaba)

  1. Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
  2. Run the command to install SKILL.md
  3. In Lingma Agent mode, prompt your task and the skill will be automatically loaded

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a lingma -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai lingma -y

Project directory

mkdir -p .lingma/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .lingma/skills/skill/SKILL.md

User directory

mkdir -p ~/.lingma/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.lingma/skills/skill/SKILL.md

WorkBuddy / CodeBuddy (Tencent)

  1. WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
  2. The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
  3. AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a codebuddy -y
# WorkBuddy 读取 .workbuddy/skills，把上游写入 .codebuddy/skills 的结果同步一份
mkdir -p .workbuddy/skills && cp -R .codebuddy/skills/skill .workbuddy/skills/

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai workbuddy -y

Project directory

mkdir -p .workbuddy/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .workbuddy/skills/skill/SKILL.md

Claude Code

Project directory

mkdir -p .claude/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .claude/skills/skill/SKILL.md

User directory

mkdir -p ~/.claude/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.claude/skills/skill/SKILL.md

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a claude-code -y

Kimi Code (Moonshot AI)

  1. Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
  2. Run the command to install
  3. In Kimi Code CLI, describe your task to trigger the skill

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a kimi-code-cli -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai kimi -y

Project directory

mkdir -p .agents/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .agents/skills/skill/SKILL.md

User directory

mkdir -p ~/.agents/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.agents/skills/skill/SKILL.md

Qwen Code (Alibaba)

  1. Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
  2. Run the command to deploy SKILL.md
  3. Prompt the agent to trigger the skill

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a qwen-code -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai qwen -y

Project directory

mkdir -p .qwen/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .qwen/skills/skill/SKILL.md

User directory

mkdir -p ~/.qwen/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.qwen/skills/skill/SKILL.md

Windsurf

  1. Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
  2. Run the install command and refresh Cascade
  3. Cascade will auto-activate the skill based on its description

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a windsurf -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai windsurf -y

Project directory

mkdir -p .windsurf/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .windsurf/skills/skill/SKILL.md

User directory

mkdir -p ~/.codeium/windsurf/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.codeium/windsurf/skills/skill/SKILL.md

Cline

  1. Cline supports standard .agents/skills/<name>/ structure
  2. Run the command to install the skill
  3. Ask questions in the Cline panel to trigger the skill

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a cline -y

AgentHub CLI (change --ai)

curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init Panniantong/Agent-Reach@skill --ai cline -y

Project directory

mkdir -p .agents/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .agents/skills/skill/SKILL.md

Cherry Studio

  1. Use this skill as an Assistant system prompt in Cherry Studio
  2. Copy the command to view SKILL.md text
  3. Paste the contents into Cherry Studio Assistant system prompt
# 打印 SKILL.md 指令内容并粘贴到 Cherry Studio 智能体系统提示词中
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md"

VS Code / GitHub Copilot

mkdir -p .github/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .github/skills/skill/SKILL.md

OpenAI Codex

Skills CLI

npx skills add Panniantong/Agent-Reach@skill -a codex -g -y

User directory

mkdir -p ~/.codex/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o ~/.codex/skills/skill/SKILL.md

Project directory

mkdir -p .agents/skills/skill
RAW="https://raw.githubusercontent.com/Panniantong/Agent-Reach/main/agent_reach/skill"
curl -sL "$RAW/SKILL.md" -o .agents/skills/skill/SKILL.md

Troubleshooting & Common ErrorsFAQ

Common connection errors and verified fixes for agent-reach

Getting 'connection closed' or exit code 1 in Cursor / Claude Code for agent-reach?

Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.

Fix Snippet
# Check binary path in terminal:
which npx
node -v
Getting 'spawn npx ENOENT' or 'command not found'?

The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).

Tool calls timing out or failing to download packages?

First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.

Agent does not match or apply agent-reach during conversations?

Verify SKILL.md is located at .cursor/skills/agent-reach/SKILL.md (Cursor) or ~/.claude/skills/agent-reach/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.

Still not connecting? Read the MCP troubleshooting guide →

Tool Mock Playground

Sandbox

agent-reach Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime

Sandbox Ready
fn: agent_skill_runtimeInject system prompt guidelines & workflow constraints from agent-reach
Request ArgumentsJSON Schema
{
  "skill": "agent-reach",
  "rulePath": ".cursor/skills/agent-reach/SKILL.md",
  "userGoal": "请使用 agent-reach 的方法与标准帮我完成当前任务",
  "client": "Cursor / Claude Code"
}
💡Parameters generated dynamically by Agent runtime
Agent Tool Output

Click 'Run Mock' above

to preview the raw response returned to the LLM

Env: AgentHub Virtual SandboxJSON-RPC 2.0

Decision Guide: Why & When to Use

Assess suitability before installing to save trial-and-error time

Best Suited For
  • PR review
  • Changelog generation
  • Cross-repo issue search
When NOT to Use
  • Replacing human security audit
  • Unauthorized repo access
Recommended Workflow Pairing:View Scenario →

agent-reach + Scenario Prompt → Complete Agent Automation

Skill hands-on: install to visible results

Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.

Open tutorial →

An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.

How to use

After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.

Related resources

中文公文写作

v2.0.41

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io.clawhub.gongyu0918-debug/chinese-official-writing

用于中文公文、事务性材料和新闻稿件的起草、改写、压缩、润色、审校、文种核对、去口语化、降 AI 味及 Word 格式处理，适用于机关、企事业单位、学校和新闻机构。涵盖申请、请示、报告、通知、通告、意见、决定、决议、议案、公报、命令、函、复函、批复、说明、方案、纪要、公告、公示、通报、制度、规定、办法、细则、操作规程、工作要点、总结、调研、讲话、致辞、主持词、述职、可研、审查材料、技术需求、新闻消息、编者按、新闻评论，以及采购、整改、反馈和 AI 算力等场景。

source
View on ClawHub

Planning with files

v3.25.0

SkillClawHub45.4k

io.clawhub.othmanadi/planning-with-files

Persistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.

source
View on ClawHub

Often paired with

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Markdown (GitHub README)
[![Listed on AgentHub: agent-reach](https://myagenthub.cn/badge/io.github.Panniantong/Agent-Reach/skill?lang=en)](https://myagenthub.cn/p/io.github.Panniantong/Agent-Reach/skill)

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Unified Manifest

{
  "id": "io.github.Panniantong/Agent-Reach/skill",
  "type": "skill",
  "version": "0.0.0",
  "displayName": "agent-reach",
  "description": "MUST USE when user wants to 调研/research/搜索/search/查/找/look up anything on the internet — e.g. 全网调研 X / 帮我调研一下 X / 查一下 X / 搜搜 X / 看看大家怎么评价 X / X 上有什么讨论 / research this topic。\nAlso MUST USE when user mentions any platform or shares any URL/链接: 小红书/xiaohongshu/xhs, Twitter/推特/X, B站/bilibili, Reddit, Facebook, Instagram, V2EX, LinkedIn/领英/Boss直聘/招聘/求职/jobs, YouTube, GitHub code search, 小宇宙播客, 雪球/股票行情, RSS feeds, or any web URL.\n16 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now.\nNOT for: 写报告/数据分析/翻译等内容加工（本 skill 只负责从互联网获取内容）； 发帖/评论/点赞等写操作；已有专门 skill 的平台（先用专门 skill）。\n【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/推特/B站/V2EX/Reddit/Facebook/Instagram) / career(LinkedIn/Boss直聘) / dev(github) / web(网页/文章/RSS) / video(YouTube/B站/播客) / finance(雪球/股票)。",
  "author": {
    "name": "Panniantong",
    "url": "https://github.com/Panniantong"
  },
  "repository": {
    "url": "https://github.com/Panniantong/Agent-Reach",
    "source": "github",
    "subfolder": "agent_reach/skill"
  },
  "homepage": "https://skillsmp.com/creators/panniantong/agent-reach/agent-reach-skill",
  "distribution": {
    "packages": [
      {
        "registryType": "source",
        "identifier": "Panniantong/Agent-Reach@skill",
        "version": "main",
        "runtimeHint": "npx skills add"
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "codex",
    "vscode"
  ],
  "keywords": [
    "repo_stars:97792"
  ],
  "provenance": {
    "origin": "skillsmp",
    "originalId": "panniantong-agent-reach-agent-reach-skill-skill-md",
    "originalUrl": "https://skillsmp.com/creators/panniantong/agent-reach/agent-reach-skill",
    "isOfficial": false,
    "status": "active"
  }
}
agent-reach Skill Install & Guide - AgentHub