Boosting AI Efficiency: Tracking Skill Usage with Smart JSONL Analysis

product #agent 📝 Blog|Analyzed: Mar 20, 2026 23:00•

Published: Mar 20, 2026 17:36

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1 min read

Analysis

This article details a clever method for tracking the usage of skills within the Claude Code environment using JSONL analysis. By understanding which skills are most frequently used, developers can optimize their workflow and identify areas for improvement in their AI assistant. This is a significant step towards more efficient and effective utilization of AI tools.

Key Takeaways

•The author created a system to automatically collect skill usage statistics.
•The system uses post-tool-use hooks in the Claude Code settings.
•It analyzes session logs to capture both explicit skill calls and slash command invocations.

Reference / Citation

View Original

"By understanding which skills are most frequently used, developers can optimize their workflow and identify areas for improvement in their AI assistant."

Zenn ClaudeMar 20, 2026 17:36

* Cited for critical analysis under Article 32.

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