Trend Watcher Tool
Monitors GitHub Trending and tech communities for emerging tools and technologies.
Best use case
Trend Watcher Tool is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitors GitHub Trending and tech communities for emerging tools and technologies.
Teams using Trend Watcher Tool should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/trend-watcher/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Trend Watcher Tool Compares
| Feature / Agent | Trend Watcher Tool | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitors GitHub Trending and tech communities for emerging tools and technologies.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Trend Watcher Tool Monitors GitHub Trending and tech communities for emerging tools and technologies. ## Features - **GitHub Trending Tracking**: Monitor daily/weekly/monthly trending repositories - **Category Filtering**: Focus on CLI tools, AI/ML, automation, and developer tools - **Trend Analysis**: Identify patterns and emerging technologies - **Bookmark Management**: Save interesting projects for later exploration - **Reporting**: Generate trend reports for self-enhancement ## Usage ```bash # Check today's trending repositories openclaw run trend-watcher # Check trending in specific language openclaw run trend-watcher --language python # Check weekly trends openclaw run trend-watcher --period weekly # Generate detailed report openclaw run trend-watcher --report full # Save interesting projects to bookmarks openclaw run trend-watcher --bookmark trending.txt # Focus on specific categories openclaw run trend-watcher --categories "cli,ai,memory" ``` ## Options - `--language, -l`: Programming language (python, javascript, typescript, go, etc.) - `--period, -p`: Time period (daily, weekly, monthly) - `--categories, -c`: Categories to focus on (cli,ai,memory,automation,learning) - `--report, -r`: Report type (quick, standard, full) - `--bookmark, -b`: File to save interesting projects - `--limit, -n`: Number of results (default: 10) ## Categories Monitored - **CLI Tools**: Terminal applications, command-line utilities - **AI/ML**: Machine learning, neural networks, AI agents - **Memory/Context**: Memory management, RAG, knowledge bases - **Automation**: Task automation, workflows, CI/CD - **Learning**: Educational tools, tutorials, documentation ## Integration This tool integrates with: - GitHub Trending API - Feishu documentation for reports - Bookmark system for project tracking - Daily memory files for trend logging ## Author OpenClaw Agent - Self Enhancement Tool Builder
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