An advanced technical intelligence skill for Openclaw Skills that fetches and analyzes live GitHub Trending data to identify emerging software trends.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-trending-pro
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install github-trending-pro using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GitHub Trending Intelligence?
The GitHub Trending skill is a sophisticated intelligence engine designed to help developers and researchers track the pulse of the global coding community. Rather than simply listing popular repositories, this tool for Openclaw Skills generates comprehensive reports that explain the technical significance of trending projects. It identifies key categories like AI agents, developer tooling, and infrastructure, providing a layer of analysis that goes beyond raw star counts.
By synthesizing live data into actionable insights, this skill enables users to understand not just what is trending, but why it is gaining momentum. Whether you are looking for the latest Rust frameworks or tracking the rise of specific AI models, this skill provides the verifiable facts and grounded hypotheses needed to stay ahead in the rapidly evolving tech landscape using Openclaw Skills.
GitHub Trending Intelligence Use Cases
- Generating daily or weekly intelligence reports on the most popular open-source projects.
- Researching emerging technical directions in specific ecosystems like Python, Go, or JavaScript.
- Monitoring global developer interests by filtering trends by spoken languages such as Chinese or English.
- Conducting competitive analysis by tracking momentum in specific categories like developer infrastructure or security.
- Exporting structured repository data for further programmatic analysis within Openclaw Skills.
How GitHub Trending Intelligence Works
- The system interprets user requests to identify specific filters such as programming language, date range (daily, weekly, monthly), and spoken language.
- It executes a dedicated Python script to retrieve live, unfiltered data from GitHub Trending pages.
- The skill processes the resulting JSON, ensuring all metadata—such as repository URLs, descriptions, and star counts—is preserved without invention.
- It applies an analysis layer to categorize the project and infer its implementation approach based on available repository context.
- A structured report is generated, featuring a scan-ready summary table followed by deep-dive repository profiles and a final trend synthesis.
GitHub Trending Intelligence Setup
To deploy this skill within your Openclaw Skills environment, ensure Python 3 is available in your execution context. You can initiate the trending script directly from the skill directory using the following commands:
# Fetch top 10 daily trending repositories
python3 scripts/fetch_trending.py --since daily --limit 10
# Fetch weekly trending Rust projects in JSON format
python3 scripts/fetch_trending.py --language rust --since weekly --format json
Configuration is handled via command-line arguments, allowing for seamless integration into automated workflows.
GitHub Trending Intelligence Data Schema & Taxonomy
The GitHub Trending skill organizes data into a clean, hierarchical structure suitable for both human reading and automated processing. The schema includes:
| Category | Fields |
|---|---|
| Report Metadata | date, since, language, spoken_language, url |
| Repository Stats | rank, repo, total_stars, forks, current_period_stars |
| Intelligence Data | author, summary, primary_lang, title_en, summary_en |
| Analysis Fields | Feature, Functionality, Implementation, Why Trending |
GitHub Trending Intelligence Advanced Features
- Sophisticated date range mapping supporting daily, weekly, and monthly trending snapshots.
- Natural language filtering through spoken-language support for global trend tracking.
- High-fidelity intelligence reports that categorize projects into technical domains like AI, DevOps, or UI.
- Deterministic text derivation for translated titles and summaries to ensure factual accuracy.
- Flexible output formats including scannable Markdown tables and strict JSON for multi-agent interoperability within Openclaw Skills.
SKILL.md
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