insights

Extract coding patterns and corrections from AI session transcripts for CLAUDE.md documentation.

18|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/Jay-523/agent-skills --skill insights-jay-523
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: insights
Source: https://github.com/Jay-523/agent-skills/tree/main/skills/insights
Command: npx skills add https://github.com/Jay-523/agent-skills --skill insights-jay-523

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of analyzing AI coding session transcripts to identify and codify recurring patterns, preferences, and corrections, thereby improving future AI interactions and project documentation.

Core Features & Use Cases

  • Pattern Identification: Detects user corrections, coding style preferences, tool choices, communication styles, and architectural patterns within session logs.
  • Scope Categorization: Differentiates between global (applicable to all projects) and project-specific insights.
  • Duplicate Checking: Compares extracted insights against existing CLAUDE.md files to avoid redundancy.
  • Use Case: After a series of coding sessions, use this skill to automatically generate entries for your CLAUDE.md file that capture your preferred way of organizing imports or handling errors, ensuring consistency across projects.

Quick Start

Use the insights skill to analyze the most recent session transcript and present findings.

Frequently Asked Questions about insights

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

FAQPage Schema
How do I extract coding patterns from AI session transcripts?▼

To extract coding patterns from AI session transcripts, the skill analyzes user messages for corrections, style, tools, communication, and architecture, categorizing findings by global or project-specific scope for your documentation.

What is the best way to automate CLAUDE.md documentation from session logs?▼

Automating CLAUDE.md documentation involves analyzing AI session transcripts to identify recurring preferences and corrections, checking for duplicates against existing files, and generating actionable entries to improve future interactions.

How does duplicate checking work when generating CLAUDE.md entries?▼

Duplicate checking compares extracted coding patterns and preferences against existing CLAUDE.md files to prevent redundancy, ensuring only new actionable insights are added to your project documentation.

Can I categorize AI coding preferences by global and project-specific scope?▼

Yes, you can categorize AI coding preferences by scope. The skill differentiates between global patterns applicable to all projects and project-specific insights extracted directly from your session transcripts.

What types of coding insights can I detect from AI chat logs?▼

You can detect user corrections, coding style preferences, tool choices, communication styles, and architectural patterns from AI chat logs, transforming them into structured documentation for future sessions.

Do I need existing CLAUDE.md files to extract session insights?▼

No, existing CLAUDE.md files are not required to extract session insights. The skill analyzes transcripts independently, but uses existing documentation for duplicate checking to avoid redundant pattern entries.