github-trending-analyzer
Fetch, categorize, and summarize GitHub Trending projects across daily, weekly, and monthly spans. Use when a user asks for "trending projects", "latest hot repos", or a "summary of GitHub trends" to provide a structured, categorised report with full hyperlinking.
What this skill does
# GitHub Trending Analyzer
Use this skill to provide a comprehensive, categorized summary of the latest trending repositories on GitHub, including daily, weekly, and monthly lists.
## Workflow
1. **Fetch Data**: Use the provided script to fetch trending data for three time spans:
* Daily: `scripts/fetch_trending.sh daily`
* Weekly: `scripts/fetch_trending.sh weekly`
* Monthly: `scripts/fetch_trending.sh monthly`
2. **Full Inventory**: List every single project found in each list. Do not omit any repositories.
3. **Cross-List Deduplication**: Note projects that appear in multiple spans (e.g., "appears in both Weekly and Monthly").
4. **Deep Categorization**: Group ALL discovered projects into logical buckets.
5. **Hyperlinking**: Every project mentioned MUST include its full GitHub URL.
6. **Observation**: Identify 3-5 high-level trends across the entire data set.
## Categorization Taxonomy
* **⌨️ Terminal Agents & AI Coding**: CLI tools, IDE plugins (Neovim/VSCode), and automated coding assistants.
* **🛡️ Autonomous Security**: Pentesting agents, vulnerability scanners, and model jailbreak/un-censoring tools.
* **🧠 Memory & Knowledge Management**: Agent memory layers, long-term persistence, and next-gen RAG/indexing.
* **⚙️ AI Infra & Protocols**: MCP, SDKs, orchestration frameworks, and specialized model deployments (e.g., Cloudflare Workers).
* **🔓 Prompt Engineering & Data**: System prompt collections, datasets, and meta-prompting tools.
* **🛠️ Productivity & Specialized Apps**: Finance AI, media servers, diagram tools, and general AI assistants.
## Output Structure
### 📅 Part 1: Full Trending Lists
Provide bulleted lists for **Daily**, **Weekly**, and **Monthly**, with short descriptions for each.
### 🏗️ Part 2: Categorized Analysis
Provide Markdown tables for each category:
| Project | Span | Description |
| :--- | :---: | :--- |
| **[user/repo](https://github.com/user/repo)** | D/W/M | Summary... |
### 💡 Part 3: Strategic Insights
Summarize the current "vibe" of GitHub (e.g., "The shift from Web to CLI").
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