agent-reach

The agent-reach skill provides AI agents with comprehensive access to multiple online platforms, effectively giving them the ability to search, read, and interact across the internet. It consolidates 17 platforms into a unified interface accessible via CLI, MCP, curl, and Python scripts, streamlining multi-platform operations for users. With zero configuration required for eight of these channels, it simplifies the process of obtaining information from diverse sources, eliminating the need for manual setup and reducing friction when performing online research or content retrieval.

The skill organizes platforms into categories such as search engines, social media, career sites, developer tools, web content, and video or podcast resources. It includes a routing table to guide actions based on user intent and provides zero-configuration quick commands for immediate access to popular platforms like GitHub, Twitter, YouTube, Bilibili, Reddit, and V2EX. Environment checks ensure that the correct channels and MCP services are available, while workspace rules maintain temporary and persistent data in designated directories. Detailed references are provided for each category, including platform-specific commands and documentation links, allowing users to handle more complex scenarios with minimal setup.

Agent-reach is ideal for users who need to aggregate information from multiple online sources quickly, including researchers, content creators, developers, and professionals monitoring social media or career platforms. Typical use cases include searching for code repositories, reading articles or web pages, monitoring social media trends, accessing YouTube or podcast transcripts, and analyzing data from professional networks. Its combination of automation, multi-platform access, and minimal configuration makes it a powerful tool for efficiently gathering and processing online information across a wide variety of digital ecosystems.