How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does agent-reach support?

agent-reach works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is agent-reach free to use?

Yes. agent-reach is free to install and use. It is available from the open explainx.ai skill registry published by panniantong.

Where can I read ratings and reviews for agent-reach?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install agent-reach?

Run `npx skills add https://github.com/panniantong/agent-reach --skill agent-reach` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

agent-reach

Multi-platform web search and content reading across 16+ social and web sources.

panniantong/agent-reach|Updated Jun 4, 2026

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

total installs

this week

15.7K

GitHub stars

upvotes

Install Skill

Run in your terminal

$npx skills add https://github.com/panniantong/agent-reach --skill agent-reach

installs

this week

15.7K

stars

View on GitHub

agent reach

0 commentsJoin discussion →

What it does

Supports 16 platforms including Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat articles, LinkedIn, Instagram, V2EX, RSS, and general web search via Exa
Zero configuration required for 8 channels; others need cookies or API keys (Groq for podcast transcription, Exa for web search)
Provides command-line tools and Python APIs for searching, reading threads, extracting trans

Repository

panniantong/agent-reach

Last updated

Jun 4, 2026

Installation Guide

Select your AI agent

How to use agent-reach on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add agent-reach

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/panniantong/agent-reach --skill agent-reach

Fetches agent-reach from panniantong/agent-reach and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/agent-reach

Restart Cursor to activate agent-reach. Access via /agent-reach in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

Agent Reach — 路由器

17 平台工具集合。根据用户意图选择对应分类。

路由表

用户意图	分类	详细文档
网页搜索/代码搜索	search	references/search.md
小红书/抖音/微博/推特/B站/V2EX/Reddit	social	references/social.md
招聘/职位/LinkedIn	career	references/career.md
GitHub/代码	dev	references/dev.md
网页/文章/公众号/RSS	web	references/web.md
YouTube/B站/播客字幕	video	references/video.md

零配置快速命令

# Exa 网页搜索
mcporter call 'exa.web_search_exa(query: "query", numResults: 5)'

# 通用网页阅读
curl -s "https://r.jina.ai/URL"

# GitHub 搜索
gh search repos "query" --sort stars --limit 10

# Twitter 搜索
twitter search "query" --limit 10

# YouTube/B站字幕
yt-dlp --write-sub --skip-download -o "/tmp/%(id)s" "URL"

# Reddit 搜索
rdt search "query" --limit 10

# Reddit 读帖 + 评论
rdt read POST_ID

# V2EX 热门
curl -s "https://www.v2ex.com/api/topics/hot.json" -H "User-Agent: agent-reach/1.0"

环境检查

# 检查可用 channel
agent-reach doctor

# 查看所有 MCP 服务
mcporter_list_servers()

工作区规则

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。

详细文档

根据用户需求，阅读对应的详细文档：

搜索工具 — Exa AI 搜索
社交媒体 — 小红书, 抖音, Twitter, B站, V2EX, Reddit
职场招聘 — LinkedIn
开发工具 — GitHub CLI
网页阅读 — Jina Reader, 微信公众号, RSS
视频播客 — YouTube, B站, 小宇宙

配置渠道

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

用户只需提供 cookies，其他配置由 agent 完成。

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Steps

1Install product management skill
2Start with user story generation for known feature
3Progress to competitive analysis: research 2-3 competitors
4Use for roadmap prioritization: apply RICE/ICE scoring
5Draft stakeholder communications and refine based on feedback
6Build template library for recurring PM tasks
7Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use when

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid when

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

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Reviews

4.5★★★★★73 reviews

D
Dhruvi Jain★★★★★Dec 24, 2024
I recommend agent-reach for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
M
Michael Yang★★★★★Dec 20, 2024
Useful defaults in agent-reach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
H
Hassan Gill★★★★★Dec 16, 2024
We added agent-reach from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
J
James Sanchez★★★★★Dec 16, 2024
Registry listing for agent-reach matched our evaluation — installs cleanly and behaves as described in the markdown.
E
Evelyn Choi★★★★★Dec 12, 2024
agent-reach fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
L
Luis Ndlovu★★★★★Dec 12, 2024
Keeps context tight: agent-reach is the kind of skill you can hand to a new teammate without a long onboarding doc.
Z
Zaid Ndlovu★★★★★Dec 8, 2024
agent-reach has been reliable in day-to-day use. Documentation quality is above average for community skills.
Z
Zara Okafor★★★★★Nov 27, 2024
agent-reach reduced setup friction for our internal harness; good balance of opinion and flexibility.
A
Aisha Patel★★★★★Nov 23, 2024
Solid pick for teams standardizing on skills: agent-reach is focused, and the summary matches what you get after install.
O
Oshnikdeep★★★★★Nov 15, 2024
Useful defaults in agent-reach — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

agent-reach

Install Skill

What it does

Category

Repository

Last updated

Installation Guide

How to use agent-reach on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

Agent Reach — 路由器

路由表

零配置快速命令

环境检查

工作区规则

详细文档

配置渠道

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

grill-me

premortem

deslop

framer-motion

write-a-prd

wordpress-elementor

Reviews

Discussion