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Kun-0546
Kun-0546COMMUNITY
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GitHub

GitHub Radar

Analyze GitHub repository data to detect AI trends and paradigm shifts.

18|1|Updated Mar 7, 2026
Search Tags:#github#open-source#trend-analysis#ecosystem-analysis#technology-scouting#product-intelligence#ai-pm
One-click install
npx skills add https://github.com/Kun-0546/ai-pm-builder-skills --skill github-radar-kun-0546
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: GitHub Radar
Source: https://github.com/Kun-0546/ai-pm-builder-skills/tree/main/github-trend-observer
Command: npx skills add https://github.com/Kun-0546/ai-pm-builder-skills --skill github-radar-kun-0546

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

AI product managers and builders struggle to identify meaningful technology trends and paradigm shifts from the overwhelming noise of thousands of GitHub repositories. This Skill transforms raw GitHub data into curated, actionable intelligence with PM-grade insights.

Core Features & Use Cases

  • Five Analysis Modes: Radar Pulse scans for trending AI projects, Direction Search maps competitive landscapes for a technology direction, Signal Watch detects anomalous growth signals, Deep Link performs single-repo ecosystem analysis, and Evolution Timeline maps the full evolution landscape of a technology topic with interactive D3.js visualizations.
  • Layer Classification Framework: Automatically categorizes projects into L1-L5 stack layers to highlight infrastructure shifts and prioritize L2 Runtime and L3 Platform signals.
  • PM-Grade Insights: Delivers plain-language paradigm assessments, adoption depth analysis, contributor structure interpretation, and competitor mapping rather than raw metrics tables.

Quick Start

Use the GitHub Radar skill to scan for trending AI projects from the last 7 days and identify the top high-potential repositories with paradigm-level insights.

Frequently Asked Questions about GitHub Radar

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

FAQPage Schema
How do I analyze GitHub repository trends for AI product management insights?▼

GitHub trend analysis for AI PMs identifies paradigm shifts and maps competitive landscapes by transforming raw repository data into curated intelligence. It uses five analysis modes including radar pulse scanning and direction search to deliver plain-language insights rather than raw metrics tables.

What is the best way to monitor open-source ecosystem shifts for technology scouting?▼

Monitoring open-source ecosystem shifts for technology scouting uses signal watch to detect anomalous growth and evolution timelines to map technology evolution. It categorizes projects into L1-L5 stack layers to highlight infrastructure shifts and prioritize L2 Runtime and L3 Platform signals.

Do I need GitHub CLI and Python 3.9 to run GitHub trend analysis?▼

Yes, GitHub trend analysis requires authenticated GitHub CLI and Python 3.9 or higher to execute. These dependencies are necessary to run the five analysis modes that scan trending AI projects and generate PM-grade intelligence from raw repository data.

Can I map a competitive landscape for a specific technology direction using GitHub data?▼

Yes, mapping a competitive landscape for a specific technology direction uses the direction search mode. It processes GitHub data to deliver competitor mapping, adoption depth analysis, and contributor structure interpretation for AI builders and product managers.

How does single-repo ecosystem analysis work for detecting paradigm shifts?▼

Single-repo ecosystem analysis uses the deep link mode to perform focused analysis on individual repositories. It interprets contributor structures and assesses adoption depth to deliver plain-language paradigm assessments that highlight meaningful technology shifts from GitHub data.

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