Trend Watcher Tool

Monitors GitHub Trending and tech communities for emerging tools and technologies.

7 stars

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

$curl -o ~/.claude/skills/trend-watcher/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/guogang1024/trend-watcher/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/trend-watcher/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Trend Watcher Tool Compares

Feature / AgentTrend Watcher ToolStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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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