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tool-time

Parse JSONL transcripts to analyze Claude Code tool usage patterns.

3|1|Updated Feb 15, 2026
Search Tags:#analytics#developer productivity#performance tracking#tool usage#code optimization#claudecode
One-click install
npx skills add https://github.com/mistakeknot/Demarch --skill tool-time
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tool-time
Source: https://github.com/mistakeknot/Demarch/tree/main/.gemini/generated-skills/tool-time
Command: npx skills add https://github.com/mistakeknot/Demarch --skill tool-time

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill helps developers understand and optimize their usage of tools within the Claude Code environment by tracking patterns and identifying inefficiencies.

Core Features & Use Cases

  • Tool Usage Analytics: Tracks which tools are used, how often, and their success rates.
  • Inefficiency Detection: Identifies patterns that may indicate suboptimal tool selection or usage.
  • Community Benchmarking: Allows anonymized comparison of tool usage against community averages.
  • Use Case: A developer notices they are frequently using a specific tool for tasks that another, more efficient tool is better suited for. This Skill can highlight that pattern, suggesting a switch for faster development.

Quick Start

Activate the tool-time skill to begin analyzing your tool usage.

Frequently Asked Questions about tool-time

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track developer productivity and tool usage patterns in Claude Code?▼

To track developer productivity and tool usage patterns in Claude Code, this Skill parses JSONL transcripts to identify tool selection frequency, success rates, and workflow inefficiencies.

What is the best way to detect inefficient tool selection during a Claude Code session?▼

Detecting inefficient tool selection involves analyzing JSONL session transcripts to highlight patterns where developers frequently choose suboptimal tools over more efficient alternatives.

Can I benchmark my Claude Code tool usage against community averages?▼

Yes, you can benchmark your Claude Code tool usage by uploading anonymized statistics from parsed JSONL transcripts to a community API for comparison against aggregate averages.

Do I need to parse JSONL transcripts manually to analyze tool performance tracking data?▼

No, you do not need to parse JSONL transcripts manually; the Skill automatically processes these transcripts to extract tool performance tracking data and identify usage bottlenecks.

What limitations exist when uploading anonymized statistics to the community API?▼

The primary limitation is that uploading anonymized statistics requires an active connection to the community API, restricting offline benchmarking and real-time inefficiency detection workflows.

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