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oldwinter
oldwinterCOMMUNITY
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skill-review

Analyze conversation logs to identify and prioritize AI skill issues.

5|Updated Jan 19, 2026
Search Tags:#documentation#troubleshooting#retrospective#skill optimization#skill review#AI improvement
One-click install
npx skills add https://github.com/oldwinter/skills --skill skill-review-oldwinter
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-review
Source: https://github.com/oldwinter/skills/tree/main/meta-skills/skill-review
Command: npx skills add https://github.com/oldwinter/skills --skill skill-review-oldwinter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses issues of skill performance, accuracy, and usability by providing a structured process for retrospectives and improvements, ensuring AI agents operate more effectively.

Core Features & Use Cases

  • Identify Skill Issues: Pinpoints command failures, missing content, incorrect guidance, and edge cases.
  • Prioritize Improvements: Ranks identified issues by severity (Critical, High, Medium, Low).
  • Document Findings: Generates clear reports on issues, fixes, and remaining gaps.
  • Use Case: After a complex interaction where an AI agent struggled with a specific tool, use this skill to analyze what went wrong, document the problems, and suggest concrete steps to improve the tool's documentation or functionality for future use.

Quick Start

Use the skill-review skill to analyze the performance of the tasknotes-skill based on our recent conversation.

Frequently Asked Questions about skill-review

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

FAQPage Schema
How do I troubleshoot AI agent command failures and incorrect guidance?▼

To troubleshoot AI agent command failures and incorrect guidance, analyze conversation logs to retrospectively identify edge cases and missing content, then document findings in a structured report format for actionable skill improvements.

What is a skill retrospective for AI optimization?▼

A skill retrospective for AI optimization is a structured process that analyzes conversation logs and user feedback to pinpoint skill issues, prioritize them by severity, and generate clear reports on fixes and remaining gaps.

How do I prioritize AI skill improvements after analyzing usage patterns?▼

To prioritize AI skill improvements after analyzing usage patterns, rank identified issues such as command failures and incorrect guidance by severity levels including Critical, High, Medium, and Low for actionable documentation.

Can I use conversation logs to refine skill documentation and functionality?▼

Yes, you can use conversation logs to refine skill documentation and functionality by analyzing them for command failures and edge cases, requiring analysis of skill usage patterns and user feedback to operate effectively.

What is the best way to document AI agent issues for future improvements?▼

The best way to document AI agent issues for future improvements is generating a structured report that details identified problems, suggests concrete fixes, and outlines remaining gaps based on recent conversation analysis.

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