meta-skill

Analyze conversations to evaluate skill performance and identify new skill opportunities.

35|10|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/ttmouse/skills --skill meta-skill-ttmouse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: meta-skill
Source: https://github.com/ttmouse/skills/tree/main/meta-skill
Command: npx skills add https://github.com/ttmouse/skills --skill meta-skill-ttmouse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides meta-cognitive capabilities for reviewing conversations, assessing the effectiveness of used skills, and identifying opportunities for new skill development, thereby improving the overall AI agent's performance and knowledge base.

Core Features & Use Cases

  • Conversation Review: Analyzes past interactions to identify key learnings and insights.
  • Skill Evaluation: Assesses the performance of skills used during a conversation and suggests optimizations.
  • Skill Incubation: Determines if recurring workflows are suitable for new skill creation.
  • Use Case: After a complex problem-solving session, use this skill to summarize the core insights gained, evaluate if the 'code-generator' skill performed optimally, and decide if the problem-solving process itself warrants a new, dedicated skill.

Quick Start

Review the last conversation and suggest improvements for any skills used.

Frequently Asked Questions about meta-skill

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

FAQPage Schema
How do I analyze AI conversations to evaluate skill performance and find optimization opportunities?

Analyze AI conversations to evaluate skill performance by reviewing past interactions to identify key insights and suggest optimizations. This meta-cognitive process assesses how well skills performed and highlights specific areas for refinement.

How can I determine if a recurring workflow is viable for new skill development?

Determine if a recurring workflow is viable for new skill development by assessing its recurrence, complexity, and failure cost. This skill incubation process identifies workflows that warrant a dedicated new skill.

What is meta-cognitive skill management and when do I need it for my AI agent?

Meta-cognitive skill management is the process of reflecting on and evolving your AI skills. You need it after complex problem-solving sessions to summarize core insights, assess used skills, and improve your overall agent performance.

How do I systematically review past interactions to extract key learnings and insights?

Systematically review past interactions to extract key learnings through conversation review. This feature analyzes your historical problem-solving sessions to summarize core insights and identify actionable improvements.

Can I perform a broader assessment of my entire skill system, or is it limited to individual conversations?

You can perform broader skill system assessments in addition to individual conversation reviews. The tool supports both granular interaction analysis and comprehensive evaluations of your entire AI skill setup.

When should I not use meta-cognitive analysis for workflow optimization?

Meta-cognitive analysis for workflow optimization is not suitable for simple, non-recurring tasks. It is designed for complex problem-solving sessions where evaluating skill performance and identifying new skill incubation opportunities provides sufficient value.