github-trending

Query GitHub's Search API for trending repositories sorted by stars.

8|1|Updated Apr 15, 2026

Search Tags:#automation #api #github #search #data #repositories #trending

Ready to run

npx skills add https://github.com/gujiachun-rainbow/RainClaw --skill github-trending-gujiachun-rainbow

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: github-trending
Source: https://github.com/gujiachun-rainbow/RainClaw/tree/main/Skills/github-trending
Command: npx skills add https://github.com/gujiachun-rainbow/RainClaw --skill github-trending-gujiachun-rainbow

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Quickly identify the latest and most popular GitHub open-source projects to inform research, benchmarking, and discovery.

Core Features & Use Cases

Time-range filtering: daily, weekly, or monthly trending data to track short-term or long-term momentum.
Language filtering: optionally narrow results to a specific programming language.
Output details: project name, URL, description, stars, language, and forks in a structured JSON-ready format.
Use Case: perform competitive analysis of libraries for a new project, or discover potential dependencies with high community adoption.

Quick Start

Ask me for daily trending repositories in Python.

Frequently Asked Questions about github-trending

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

FAQPage Schema

How do I find trending GitHub repositories by stars over a specific time range?▼

Filtering trending GitHub repositories by programming language allows you to narrow query results to a specific language. You can retrieve project names, URLs, descriptions, and community adoption metrics like stars and forks in a JSON-ready format.

Can I use the GitHub Search API to identify popular open-source projects for competitive analysis?▼

This approach queries the GitHub Search API to retrieve repositories sorted by stars, returning a JSON array. This structured output contains project names, URLs, descriptions, and metrics ready for downstream formatting and benchmarking tasks.

What data fields are returned when tracking GitHub repository momentum?▼

How do I retrieve GitHub trending data for just the Python language?▼

Does tracking GitHub trending repositories require any external dependencies?▼

Tracking GitHub repository momentum returns specific data fields including the project name, URL, description, stars, programming language, and forks. These fields are output in a structured JSON array format.