skills.rest
Fantasia1999
Fantasia1999COMMUNITY
Explore all skills by this author →
WebsiteGitHub

review

Analyze AI memory logs for promotion, stale entries, and merging opportunities.

Updated Mar 12, 2026
Search Tags:#code review#debugging#knowledge management#self-improvement#ai memory#rule generation
One-click install
npx skills add https://github.com/Fantasia1999/claude-skills-zh --skill review-fantasia1999
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/Fantasia1999/claude-skills-zh/tree/main/translations/engineering-team/self-improving-agent/skills/review
Command: npx skills add https://github.com/Fantasia1999/claude-skills-zh --skill review-fantasia1999

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of managing and optimizing an AI's automatically generated memory, ensuring it remains efficient, relevant, and actionable.

Core Features & Use Cases

  • Memory Analysis: Audits AI memory for duplicates, stale entries, and consolidation opportunities.
  • Candidate Identification: Pinpoints high-value memory items suitable for promotion to permanent rules or documentation.
  • Conflict Detection: Identifies memory entries that conflict with existing rules or documentation.
  • Use Case: After a complex debugging session, use this Skill to review the AI's memory, identify the most critical insights, and ensure they are properly documented or integrated into the project's knowledge base.

Quick Start

Run a comprehensive audit of the AI's automatic memory.

Frequently Asked Questions about review

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

FAQPage Schema
How do I audit AI memory logs for stale entries and duplicates?▼

You can audit AI memory logs by scanning MEMORY.md and .claude/rules/ directories to detect duplicates, stale entries, and consolidation opportunities, ensuring memory remains efficient and relevant.

How does AI memory conflict detection work with project documentation?▼

AI memory conflict detection works by scanning memory files against project documentation and rule sets like CLAUDE.md to identify entries that conflict with existing rules, ensuring consistency and relevance.

What is the best way to promote high-value AI memory items to permanent rules?▼

The best way to promote high-value AI memory items is to analyze memory logs to pinpoint critical insights suitable for promotion to permanent rules or project documentation.

Do I need CLAUDE.md and .claude/rules/ directories to review AI memory?▼

Yes, a comprehensive AI memory review requires parsing MEMORY.md, CLAUDE.md, and the .claude/rules/ directory to scan against project documentation and ensure full consistency and relevance.

When should I use an AI memory review skill after debugging?▼

You should use an AI memory review after a complex debugging session to identify critical insights from the generated memory and ensure they are properly documented or integrated into the knowledge base.

Related Skills

Explore More Software Engineering Skills→
zhangzhang-111-izhangzhang-111-i
2

review

Analyze AI auto-memory for promotion candidates, stale entries, and consolidation opportunities.

Community
Intermediate
ano4lano4l

promote

Promote proven patterns from MEMORY.md into enforceable CLAUDE.md or .claude/rules.

Community
Advanced
jgsqwarejgsqware

webapp-testing

Automate local web application testing with Playwright and Python.

Community
Intermediate
gclmgclm

neat-freak

Synchronize project documentation and AI memory with Python scripts.

Community
Advanced