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alexaundre
alexaundreCOMMUNITY
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GitHub

github-radar

Fetch recent AI-focused GitHub repositories and save a categorized digest to JSON.

Updated Aug 23, 2026
Search Tags:#automation#monitoring#github#ai#scraping#feishu#trending
One-click install
npx skills add https://github.com/alexaundre/mycc --skill github-radar
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-radar
Source: https://github.com/alexaundre/mycc/tree/main/.claude/skills/github-radar
Command: npx skills add https://github.com/alexaundre/mycc --skill github-radar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Stay informed about the most active and relevant open-source AI projects without manually browsing GitHub; this Skill automates discovery, curation, and delivery of a daily digest so you can quickly spot new architectures, tools, and trends that matter to your CC or engineering work.

Core Features & Use Cases

  • Scheduled scraping and ranking: Runs GitHub Search API queries for predefined AI categories and ranks recent repositories by stars and recent activity.
  • Structured output and persistence: Saves normalized results into a local JSON file for downstream analysis and review.
  • Notification and recommendation: Formats a daily Feishu report with categorized highlights and cc-focused upgrade suggestions to inform maintenance or integration decisions.
  • Use Case: Automatically surface top AI Agent, multi-agent orchestration, memory system, and skills framework projects each night and receive a summarized Feishu digest with action recommendations.

Quick Start

Run the github-radar skill to fetch recent AI-related GitHub projects, generate a categorized digest saved to /tmp/github-radar-data.json, and send a Feishu report with cc's evaluation.

Frequently Asked Questions about github-radar

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

FAQPage Schema
How do I monitor trending GitHub AI repositories automatically?▼

To monitor trending GitHub AI repositories automatically, this skill runs scheduled GitHub Search API queries with rate-limit spacing to fetch and rank recent projects by stars and activity, focusing on AI agents, multi-agent orchestration, memory systems, and skills frameworks updated within the last seven days.

Can I send a daily GitHub trending digest to Feishu?▼

Yes, you can send a daily GitHub trending digest to Feishu. The skill formats categorized highlights and upgrade suggestions into a daily report, delivering the notification via an external tell-me sender to inform maintenance and integration decisions.

What is the best way to scrape and save GitHub trending data for analysis?▼

The best way to scrape and save GitHub trending data is using this skill to execute structured GitHub Search API queries and persist the normalized results. It saves fetched repository data into a local JSON file at /tmp/github-radar-data.json for downstream analysis and review.

Does GitHub monitoring for AI projects require manual API configuration?▼

GitHub monitoring for AI projects does not require manual API configuration for its core scraping logic. The skill performs scheduled GitHub Search API queries with rate-limit spacing automatically, though an external tell-me sender is needed to deliver Feishu notifications.

Why does my GitHub scraping workflow need rate-limit spacing?▼

Your GitHub scraping workflow needs rate-limit spacing to avoid hitting API request limits and ensure continuous monitoring. This skill automatically applies rate-limit spacing between scheduled GitHub Search API queries to reliably fetch recent AI-focused repositories.

When do I need a daily AI open-source digest for my engineering work?▼

You need a daily AI open-source digest when you want to quickly spot new architectures, tools, and trends relevant to your engineering work without manually browsing GitHub. It surfaces active open-source AI projects to inform maintenance and integration decisions.

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