How does this differ from the built-in /usage command?

While the built-in /usage command focuses on token consumption and costs, Command Analytics tracks which specific commands, skills, and agents you use most frequently to help optimize your workflow configuration.

Where is the analytics data stored?

All analytics data is stored locally within your project in the .claude/analytics/ directory using JSONL format, ensuring your usage history stays private.

Can I see which commands I haven't used in a long time?

Yes, you can run '/analytics unused' to see a list of items that haven't been used in over 30 days, along with recommendations on whether to keep or delete them.

Does it support visual reports?

It generates detailed Markdown reports that include ASCII-based trend charts and tables representing your daily and weekly activity patterns.

Command Analytics

Name: Command Analytics
Author: garimto81

bygarimto81

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Analytics & Monitoring

Tracks and analyzes the frequency of commands, skills, and agents to provide data-driven optimization reports for your development workflow.

About

Command Analytics provides a comprehensive monitoring system for your Claude Code environment, logging every command execution, skill trigger, and agent interaction. It helps developers maintain a lean and efficient workspace by identifying frequently used patterns and highlighting redundant or obsolete skills. By generating detailed daily and weekly reports, the skill offers actionable insights and optimization suggestions, such as merging similar commands or removing unused configurations, ensuring your AI-assisted workflow remains highly performant.

Key Features

Identification of unused or underutilized skills and commands
1 GitHub stars
Project-specific analytics for multi-repo management
Comprehensive reporting on usage trends and session durations
Automated usage tracking for commands, skills, and agents
Data-driven recommendations for workspace cleanup and optimization

Use Cases

Identifying and removing bloated skills that are no longer used in a project
Monitoring command success rates and execution times to improve script efficiency
Analyzing weekly productivity trends to refine AI-assisted development habits

About

Key Features

Identification of unused or underutilized skills and commands
1 GitHub stars
Project-specific analytics for multi-repo management
Comprehensive reporting on usage trends and session durations
Automated usage tracking for commands, skills, and agents
Data-driven recommendations for workspace cleanup and optimization

Use Cases

Identifying and removing bloated skills that are no longer used in a project
Monitoring command success rates and execution times to improve script efficiency
Analyzing weekly productivity trends to refine AI-assisted development habits