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thought-analyzer
thought-analyzerOFFICIAL
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thought-pattern-analyzer

Analyzes conversation logs to produce a unified JSON fingerprint with visualizations.

5|1|Updated Mar 24, 2026
Search Tags:#conversation analysis#reasoning patterns#cognitive psychology#coding direction#collaboration feedback#fingerprint json#html visualization
One-click install
npx skills add https://github.com/thought-analyzer/thought-analyzer --skill thought-pattern-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: thought-pattern-analyzer
Source: https://github.com/thought-analyzer/thought-analyzer/tree/main/skills
Command: npx skills add https://github.com/thought-analyzer/thought-analyzer --skill thought-pattern-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you analyze your conversation logs to discover your thinking patterns, how effectively you direct AI/engineers, and how you respond to AI outputs—so you can improve how you reason and collaborate.

Core Features & Use Cases

  • 9-axis thinking pattern fingerprint: Extracts stable cognitive traits (abstraction direction, problem approach, perspective taking, politeness strategy, and more).
  • 6-axis coding direction capability: Evaluates how well you specify requirements, recognize errors, abstract systems, and steer iterations with technical vocabulary.
  • AI↔user loop (pair) analysis: Classifies responses into adopt/modify/reject/ignore and infers your preferred collaboration style.
  • Privacy-preserving outputs: Avoids including personal identifiers, code, or URLs in the analysis output; provides an optional visualization and optional submission.

Quick Start

Ask your AI assistant to run the thought-pattern-analyzer by saying: "思考パターン分析して" (or "analyze my thinking").

Frequently Asked Questions about thought-pattern-analyzer

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

FAQPage Schema
How do I analyze conversation logs to understand my reasoning patterns?▼

To analyze conversation logs, run the thought-pattern-analyzer on your current session, pasted text, or a specified log file to generate a nine-axis thinking fingerprint and a six-axis coding direction profile.

What is a cognitive fingerprint in conversation analysis?▼

A cognitive fingerprint is a structured JSON output that maps stable reasoning traits across nine axes, including abstraction direction and problem approach, derived from your AI conversation logs.

Can I visualize conversation analysis results as HTML?▼

Yes, the conversation analysis produces an integrated HTML visualization alongside the JSON fingerprint, allowing you to visually inspect your reasoning patterns and coding direction capabilities.

Does conversation analysis expose personal identifiers or code from my logs?▼

No, the conversation analysis strictly avoids including personal identifiers, code, and URLs in the output, ensuring privacy-preserving insights while enforcing defined schemas for each analysis stage.

How do I evaluate my coding direction capability from AI chat logs?▼

You evaluate coding direction capability by analyzing chat logs to profile how well you specify requirements, recognize errors, abstract systems, and steer iterations using technical vocabulary across six axes.

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