skill-everyday

What This Skill Does

skill-everyday is an automated intelligence agent designed for the OpenClaw ecosystem to monitor and analyze the Clawhub platform. By leveraging the power of Playwright and Chromium, this skill periodically scans the Clawhub trending skills leaderboard. It intelligently filters out previously analyzed content using a local JSON-based state manager, ensuring that every execution yields fresh insights into the most popular AI agent tools currently available. Beyond mere data collection, it performs a deep dive into the architecture and functionality of these skills, generating comprehensive Markdown reports that detail how they work, why they are popular, and their potential use cases. This creates an automated knowledge base of OpenClaw's evolving capabilities, helping users stay informed about cutting-edge agent developments without manual curation.

Installation

To install, ensure you have Node.js installed in your environment. Navigate to your OpenClaw skills directory and run: clawhub install openclaw/skills/skills/autoxj/skill-everyday. After installation, verify the environment has the necessary dependencies by running npm install in the skill's root directory. Finally, execute npx playwright install chromium to ensure the headless browser is properly set up for data scraping.

Use Cases

This skill is ideal for AI developers, researchers, and early adopters who want to keep track of the rapidly shifting AI agent landscape. By automating the analysis process, users can generate a daily feed of technical documentation for new tools. It serves as an excellent reference tool for understanding how top-performing agents are structured, providing a template-driven analysis that breaks down complex logic into understandable sections. It is particularly useful for those building their own agents who need to benchmark their designs against top-performing industry standards.

Example Prompts

1. "分析一个 Clawhub 技能"
2. "skill-everyday"
3. "run daily analysis for latest clawhub trends"

Tips & Limitations

• Persistence: The skill manages its state in data/analyzed.json. Do not manually delete this file if you wish to avoid duplicate reports.
• Performance: As it uses Playwright, ensure your environment allows for headless browser execution. This might be restricted in some highly locked-down cloud containers.
• Depth: The report generation quality depends on the complexity of the target skill; highly custom architectures may require manual verification of the generated reports for absolute accuracy.
• Network: The skill requires active internet access to query the Clawhub public APIs and skill pages.