insightful

Analyze Claude Code session data to generate detailed behavioral and usage reports.

2|1|Updated Feb 14, 2026
One-click install
npx skills add https://github.com/hamchowderr/claude-plugins --skill insightful
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: insightful
Source: https://github.com/hamchowderr/claude-plugins/tree/main/plugins/insightful/skills/insightful
Command: npx skills add https://github.com/hamchowderr/claude-plugins --skill insightful

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables comprehensive insight into the user's complete Claude Code usage, encompassing all sessions, projects, and interactions to provide strategic understanding and optimization opportunities.

Core Features & Use Cases

  • Full History Report: Generates a detailed HTML report that includes session summaries, project breakdowns, engagement patterns, and detected friction points across all data sources.
  • Deep Data Analysis: Merges multiple data sources such as history.jsonl, stats-cache, facets, and session transcripts to offer an extensive overview of activity, tools, models, and performance metrics.
  • Use Case: Ideal for power users wanting to audit and improve their Claude workflows, identify bottlenecks, and plan future automation strategies.

Quick Start

Run the command to analyze your entire Claude Code session history and generate the insights report.

Frequently Asked Questions about insightful

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

FAQPage Schema
How do I generate a usage report from my Claude Code session history?

To generate a Claude Code session usage report, this Skill merges history.jsonl, stats-cache, facets, and session transcripts to produce a detailed HTML report covering project trends, engagement patterns, and friction points.

What is the best way to analyze Claude Code conversation data for workflow bottlenecks?

Analyzing Claude Code conversation data for bottlenecks is best handled by merging multi-source datasets to detect friction points and evaluate session quality across all your projects, yielding structured insights for strategic review.

Can I merge multiple Claude Code data sources like stats-cache and history.jsonl together?

Yes, you can merge multiple Claude Code data sources. The Skill combines history.jsonl, stats-cache, facets, and session transcripts to provide an extensive overview of activity, tools, models, and performance metrics.

Does Claude Code session analysis work for auditing personal workflows across multiple projects?

Claude Code session analysis is ideal for power users wanting to audit personal workflows across multiple projects. It identifies bottlenecks and detects friction points within your comprehensive multi-source datasets.

How do I identify friction points in my Claude Code interactions?

To identify friction points in Claude Code interactions, the Skill analyzes comprehensive conversation and session data, detecting behavioral patterns and performance bottlenecks to produce a structured insights report.

What data formats are needed to analyze Claude Code activity and engagement patterns?

Analyzing Claude Code activity and engagement patterns requires data formats such as history.jsonl, stats-cache, facets, and session transcripts to generate a high-density behavioral and usage report.