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agent-reach

Search and read content across 14 platforms via a unified interface.

Updated Mar 23, 2026
Search Tags:#automation#summarization#cross-platform#ai-agent#web-search#information-retrieval#agent-reach
One-click install
npx skills add https://github.com/binfen1/my-skills --skill agent-reach-binfen1
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-reach
Source: https://github.com/binfen1/my-skills/tree/main/openclaw/agent-reach
Command: npx skills add https://github.com/binfen1/my-skills --skill agent-reach-binfen1

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI agents often struggle to access and synthesize information from many sources. This skill provides a unified way to search and read content across 14 platforms, reducing manual, time-consuming web discovery.

Core Features & Use Cases

  • Cross-platform search and retrieval across Twitter/X, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, Douyin, Weibo, WeChat Articles, LinkedIn, Instagram, RSS, Exa web search, and general web pages.
  • Read, extract, and summarize content; perform trend and topic analysis; monitor for updates.
  • Use cases include research, competitive intelligence, content discovery, and real-time information monitoring for AI workflows.

Quick Start

Ask me to search Twitter for the latest AI trends and summarize the top results.

Frequently Asked Questions about agent-reach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enable cross-platform web search and content extraction for AI agents?▼

Cross-platform web search for AI agents is enabled through a unified interface that queries 14 platforms, extracts relevant content, and summarizes results for research workflows.

Can I retrieve and summarize content from social networks like Twitter, Reddit, and YouTube in one workflow?▼

Yes, you can retrieve and summarize content from Twitter, Reddit, YouTube, and other social networks through a single unified interface designed for multi-platform querying and information extraction.

What is the best way to monitor real-time information and trends across multiple platforms?▼

Monitoring real-time information across platforms is best handled by applying automated cross-platform querying to social networks and news sources, extracting updates, and summarizing trends continuously.

Does this approach support searching code repositories and general web pages for competitive intelligence?▼

Yes, searching code repositories and general web pages is fully supported, allowing you to gather competitive intelligence by extracting and summarizing relevant content from GitHub and other web sources.

How do I extract and analyze topic trends from sources like Weibo and XiaoHongShu?▼

To extract and analyze topic trends from Weibo and XiaoHongShu, the skill applies multi-platform querying and content summarization to synthesize trend data into actionable insights.

Are there limitations when retrieving content from video platforms like Bilibili and Douyin?▼

Content retrieval from video platforms like Bilibili and Douyin works within the unified querying interface, though effectiveness depends on the platform's available data for extraction and summarization.

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