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AlexZio00
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collab-audit

Analyzes conversation history and artifacts to generate a 13-section AI Collaboration Audit.

123|22|Updated Apr 7, 2026
Search Tags:#collaboration#audit#behavior#pattern-analysis#session-logs#ai-diagnostics
One-click install
npx skills add https://github.com/AlexZio00/claude-code-skills --skill collab-audit
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: collab-audit
Source: https://github.com/AlexZio00/claude-code-skills/tree/main/collab-audit
Command: npx skills add https://github.com/AlexZio00/claude-code-skills --skill collab-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams automatically analyze conversation history, artifacts, and work patterns to produce a structured 13-section AI Collaboration Audit, surfacing hidden patterns and actionable insights.

Core Features & Use Cases

  • 13-section audit delivers structured insights on collaboration, behavior, and patterns across conversations and artifacts.
  • Compare audits over time with diffs to track changes and trends.
  • Saves reports to ~/.claude/collab-audits/YYYY-MM-DD.md and supports multi-language triggers.

Quick Start

Run /collab-audit to generate your first audit and save it to ~/.claude/collab-audits/YYYY-MM-DD.md.

Frequently Asked Questions about collab-audit

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

FAQPage Schema
How do I audit AI collaboration patterns from conversation logs?▼

You can audit AI collaboration patterns by running a diagnostic command that analyzes conversation history and artifacts to generate a structured 13-section report on behavioral trends and session feedback.

Can I compare AI behavior diagnostics across different sessions over time?▼

Yes, you can compare AI behavior diagnostics across sessions using a built-in compare mode that diffs historical audits to track changes and reveal trends in collaboration patterns over time.

What session data do I need to generate an AI collaboration audit?▼

Generating an AI collaboration audit requires access to session logs, artifacts, and memory notes from ongoing collaboration sessions to accurately diagnose behavioral patterns and produce feedback.

How are AI collaboration audit reports stored and formatted?▼

AI collaboration audit reports are automatically saved as Markdown files structured by date, specifically written to the path ~/.claude/collab-audits/YYYY-MM-DD.md for persistent tracking.

What is the best way to diagnose hidden behavioral patterns in AI chat sessions?▼

The best way to diagnose hidden behavioral patterns in AI chat sessions is to analyze conversation history and work artifacts, surfacing actionable insights through a structured 13-section collaboration audit.

Does the AI collaboration audit support multi-language session triggers?▼

Yes, the AI collaboration audit supports multi-language triggers, allowing users to initiate behavior pattern analysis and session diagnostics across conversation logs in various languages.

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