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xuziqiang98
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skill-evolution-manager

Extract feedback and preferences from conversations into structured JSON.

Updated Jan 28, 2026
Search Tags:#prompt engineering#skill management#feedback loop#continuous improvement#documentation automation#AI evolution
One-click install
npx skills add https://github.com/xuziqiang98/my-skills --skill skill-evolution-manager-xuziqiang98
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: skill-evolution-manager
Source: https://github.com/xuziqiang98/my-skills/tree/main/skill-evolution-manager
Command: npx skills add https://github.com/xuziqiang98/my-skills --skill skill-evolution-manager-xuziqiang98

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill acts as an AI's "evolution hub," continuously improving the AI's capabilities by learning from user interactions and feedback. It refines existing skills and helps manage the evolution of the entire skills library.

Core Features & Use Cases

  • Session Review & Feedback Capture: Analyzes past interactions to identify areas for improvement in skills.
  • Structured Learning: Converts unstructured feedback into actionable JSON data for skill refinement.
  • Automated Documentation Updates: Integrates learned improvements back into skill documentation (SKILL.md and references/evolution_learned.md).
  • Use Case: After a complex coding session, the skill-evolution-manager can capture user suggestions like "always use async/await for I/O operations" or "prefer using f-strings for formatting" and automatically update the relevant skills' knowledge base.

Quick Start

Run the skill evolution manager to review the last conversation and save any learned improvements.

Frequently Asked Questions about skill-evolution-manager

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

FAQPage Schema
How do I automate continuous improvement of AI skills using conversation feedback?▼

Automate AI skill continuous improvement by analyzing conversation feedback to extract preferences and fixes, persisting them into structured JSON, and updating skill documentation automatically.

What is the best way to capture custom prompts and preferences from user interactions?▼

Capture custom prompts and preferences by analyzing past user interactions to identify unstructured feedback, then converting that feedback into actionable JSON data for skill refinement.

How does automated documentation update work for AI skill management?▼

Automated documentation update works by integrating learned improvements from feedback analysis directly into skill documentation files like `SKILL.md` and `references/evolution_learned.md`.

Can I synchronize learned experiences across multiple AI skills?▼

Yes, you can synchronize learned experiences across multiple AI skills using automated alignment and stitching features to persist improvements throughout the entire skills library.

Does skill evolution require manual JSON structuring for feedback data?▼

No, skill evolution does not require manual JSON structuring because the manager automatically converts unstructured user feedback into structured JSON data for skill refinement.

When should I use an AI evolution hub for prompt engineering?▼

Use an AI evolution hub for prompt engineering when you need to continuously refine skills after complex sessions by capturing specific coding suggestions and applying them to the knowledge base.

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