A powerful analysis tool that monitors GitHub Trending to identify hot projects and emerging technical directions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tech-trending-on-github
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 tech-trending-on-github 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 Trend Analyzer?
GitHub Trend Analyzer is a specialized skill designed to bridge the gap between raw data and actionable technical insights. By utilizing Openclaw Skills, this agent automatically fetches, parses, and interprets the GitHub Trending page, providing developers with a structured overview of what the global open-source community is building right now. It is particularly effective at identifying hidden gems and rising stars in the ecosystem.
This tool is more than a simple scraper; it acts as a strategic technical scout. By integrating with Openclaw Skills, it evaluates the innovation level of new repositories and tracks ranking fluctuations to determine which technologies are truly gaining momentum and which are just temporary hype.
GitHub Trend Analyzer Use Cases
- Daily monitoring of high-growth open-source repositories across specific programming languages.
- Researching emerging technical stacks and developer preference shifts in real-time.
- Automating the discovery of innovative AI, Cloud Native, and DevOps tools.
- Generating structured technical reports for engineering teams to stay updated on industry trends.
- Identifying key contributors and popular frameworks within the developer community.
How GitHub Trend Analyzer Works
- The agent uses web fetching capabilities to access GitHub official trending pages for daily, weekly, or monthly periods.
- Raw HTML is parsed to extract metadata including project names, descriptions, primary languages, star counts, and forks.
- The skill performs a delta analysis to identify projects that are newly entering the charts or rising rapidly in rank.
- Heuristic analysis is applied to project descriptions and tech stacks to categorize the innovation type (e.g., AI, Security, or Developer Tools).
- A comprehensive Markdown report is synthesized, offering a summary of the top projects and a forecast of broader technical trends.
GitHub Trend Analyzer Setup
To deploy the GitHub Trend Analyzer, ensure your agent has access to the web fetching module. Add the skill configuration to your workspace to leverage Openclaw Skills for automated research.
# Standard activation for the trend analyzer
openclaw install github-trend-analyzer
# Run a quick check for today's top Python projects
openclaw run github-trend-analyzer --lang python
GitHub Trend Analyzer Data Schema & Taxonomy
The skill organizes captured repository data into a structured taxonomy for easier analysis and reporting.
| Field | Description |
|---|---|
| repository_id | The full name and URL of the GitHub repository |
| metrics | Total stars, forks, and new stars gained during the period |
| tech_stack | The primary programming language and identified frameworks |
| growth_status | Classification such as 'New Entry', 'Rising', or 'Steady' |
| innovation_tag | Specific domain tags like AI/ML, DevOps, or Privacy |
GitHub Trend Analyzer Advanced Features
- Language-specific filtering allows for deep dives into niche ecosystems like Rust, Zig, or Mojo.
- Automated cross-referencing with historical trends to detect long-term technology adoption.
- Support for multi-lingual report generation in English and Chinese based on user preference.
- Innovation scoring that highlights projects solving novel technical challenges.
- Native integration with the broader suite of Openclaw Skills for further data processing or notification workflows.
SKILL.md
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