agent-reach

Route search, read, and monitor requests across social media and developer platforms.

45|11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/beyonai/ByClaw --skill agent-reach-beyonai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-reach
Source: https://github.com/beyonai/ByClaw/tree/main/middleware/openclaw/skills/agent-reach
Command: npx skills add https://github.com/beyonai/ByClaw --skill agent-reach-beyonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the fragmentation of internet research by providing a unified, intelligent routing layer that connects to multiple platforms, social media, and developer tools without requiring manual context switching.

Core Features & Use Cases

  • Multi-Platform Intelligence: Seamlessly aggregates data from GitHub, Twitter, Reddit, Bilibili, and professional networks like LinkedIn.
  • Intelligent Routing: Automatically selects the most reliable backend (CLI, API, or browser-based) for each specific platform to ensure high success rates.
  • Use Case: When researching a new technology, use this Skill to simultaneously search GitHub for code, Reddit for community sentiment, and YouTube for technical tutorials, then synthesize the findings into a single report.

Quick Start

Use agent-reach to research the latest community discussions and technical documentation for the specified topic across all supported platforms.

Frequently Asked Questions about agent-reach

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

FAQPage Schema
How do I aggregate social media intelligence and developer repository data in one automated search?

To aggregate social media intelligence and developer repository data, this tool provides a unified routing layer that connects to platforms like GitHub, Twitter, and LinkedIn. It automatically routes requests to specialized CLI tools and API backends for reliable data collection.

What is the best way to research community sentiment across Reddit, GitHub, and YouTube simultaneously?

Researching community sentiment across platforms like Reddit and YouTube is handled by routing requests to specialized backends. This approach ensures reliable execution through platform-specific diagnostic checks and fallback mechanisms for web content retrieval.

Can I automate web scraping for multiple platforms without manual context switching?

Automating web scraping across multiple platforms without manual context switching is supported through an intelligent routing layer. It automatically selects the most reliable backend, including CLI, API, or browser-based options, for each specific platform.

Does the tool provide fallback mechanisms when web content retrieval fails on specific social media platforms?

Fallback mechanisms for web content retrieval are provided to ensure reliable execution across diverse platforms. If a specific social media platform or developer repository backend fails, the system uses platform-specific diagnostic checks to recover.

How do I monitor diverse internet platforms and professional networks for new technical discussions?

Monitoring diverse internet platforms and professional networks for technical discussions is facilitated by a unified interface. It connects to specialized CLI tools and API backends, allowing automated data collection and continuous research tasks.