leetify

What This Skill Does

The Leetify skill acts as an advanced bridge between the OpenClaw AI agent and the Leetify API, providing deep insights into Counter-Strike 2 performance. It processes player statistics, match-level analytics, and granular demo logs to provide users with actionable feedback on their gameplay. Beyond basic K/D ratios, this skill interprets shooting accuracy, utility efficiency, and tactical role performance, helping players identify specific areas for improvement. It effectively serves as a personal performance coach by parsing complex demo data into readable reports.

Installation

To integrate this skill, use the ClawHub command within your OpenClaw environment: clawhub install openclaw/skills/skills/damirikys/leetify. Ensure your environment is configured with the LEETIFY_API_KEY environment variable, which is required to authenticate requests to the Leetify public API. For full demo analysis capabilities, ensure your local system has sufficient memory to handle the parsing of match demo files.

Use Cases

• Post-Match Reviews: Analyze your last match to see where utility usage or entry fragging consistency failed.
• Performance Comparison: Compare stats against a friend to see who is performing better in specific categories like ADR or HS percentage.
• Player Scouting: Track local database entries for regular teammates or opponents to maintain a repository of performance trends over a season.
• Tactical Improvement: Use the demo analysis workflow to review round-by-round decisions and find objective evidence for why certain strategies succeeded or failed.

Example Prompts

1. "Analyze my last match performance and tell me if my flash usage was effective."
2. "Compare my stats with player 's1mple' and highlight the biggest gap in our performance metrics."
3. "Generate a performance summary for my last competitive game and suggest three ways to improve my anchor positioning on Mirage."

Tips & Limitations

• Memory Usage: Parsing demo files is resource-intensive. If analyzing high-frequency matches, ensure your system has enough RAM and disk space.
• Data Freshness: Always use the --no-cache flag if you suspect the local demo data is outdated.
• API Limits: Keep in mind that heavy use of the Leetify API may trigger rate limiting; ensure you monitor your environment variables and API usage quotas accordingly.
• Context is Key: While raw data is useful, always frame your requests to the AI to include the map, role, or specific concern (e.g., 'focus on my entry fragging') for the most personalized results.