An automated reporting skill that uses the github-discover CLI to identify high-velocity repositories and emerging technology trends on GitHub.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-trending-report
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-report 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 Report?
The GitHub Trending Report skill is a powerful tool designed for developers and researchers who need to stay ahead of the curve in the open-source ecosystem. By integrating the github-discover CLI into the Openclaw Skills framework, this skill bypasses standard trending page limitations to surface projects based on actual growth velocity and smoothed star averages.
This skill provides a structured way to analyze the GitHub landscape across multiple time horizons, from daily bursts to annual shifts. It doesn't just list repositories; it synthesizes data into actionable intelligence, helping users identify which technologies are gaining genuine traction and which topics are currently dominating the developer conversation.
GitHub Trending Report Use Cases
- Tracking the growth of new open-source projects to identify emerging industry standards.
- Monitoring specific programming language ecosystems like Rust, Mojo, or TypeScript for viral libraries.
- Conducting market research on hot technology topics to inform product development or content strategy.
- Automated generation of weekly newsletters or internal reports on open-source activity.
How GitHub Trending Report Works
- The skill validates the environment by checking for the github-discover installation and version compatibility.
- It parses natural language prompts to determine the desired report period (daily, weekly, monthly, or yearly) and optional language filters.
- It executes concurrent data fetching for three distinct datasets: high-growth trending projects, recently created popular repos, and high-magnitude topic tags.
- The raw JSON data is processed to remove age bias and calculate growth scores using a 30-day smoothing factor.
- A comprehensive Markdown report is generated, complete with repository links, metadata analysis, and AI-driven insights into the current state of the ecosystem.
GitHub Trending Report Setup
To utilize this Openclaw Skills capability, you must have Node.js 18 or higher. Install the core discovery engine globally using the following command:
npm install -g github-discover
Once installed, the skill can be invoked to generate reports automatically through your AI agent.
GitHub Trending Report Data Schema & Taxonomy
The skill organizes GitHub data into a structured taxonomy to ensure clarity and depth in every report:
| Category | Metrics Tracked | Taxonomy Details |
|---|---|---|
| Trending | Growth Velocity | Daily average stars with 30-day smoothing |
| Popular | Raw Popularity | Total star count for recently created projects |
| Topics | Topic Magnitude | repoCount multiplied by log10 of total stars |
All reports include repository names, direct links, descriptions, primary language tags, and specific growth metrics relevant to the selected time window.
GitHub Trending Report Advanced Features
- Smart Period Inference: Automatically maps terms like "this week" or "latest" to specific GitHub API data windows.
- Smoothing Algorithm: Removes age bias from results to surface genuinely fast-rising projects rather than just established giants.
- Parallel Execution: Fetches trending, popular, and topic data simultaneously to reduce latency in report generation.
- Ecosystem Analysis: Provides AI-synthesized insights that explain the "why" behind the data trends.
- Multi-Language Filtering: Supports focused reports for specific developer communities by isolating primary language tags.
SKILL.md
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