learned-skills-index

Index and manage learned skills from execution feedback for retrieval.

19|2|Updated Aug 26, 2025
One-click install
npx skills add https://github.com/Tony363/SuperClaude --skill learned-skills-index
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: learned-skills-index
Source: https://github.com/Tony363/SuperClaude/tree/main/.claude/skills/learned
Command: npx skills add https://github.com/Tony363/SuperClaude --skill learned-skills-index

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides an index for automatically learned skills derived from successful execution feedback, making reusable patterns available for future tasks.

Core Features & Use Cases

  • Skill Discovery: Automatically surfaces effective patterns from past successful runs.
  • Adaptive Learning: Enhances the system's capabilities by incorporating proven solutions.
  • Use Case: After successfully refactoring a complex data parsing function, the system learns a new skill that can be applied to similar parsing tasks in the future, improving efficiency and code quality.

Quick Start

Use the learned-skills-index to retrieve skills relevant to refactoring Python code.

Frequently Asked Questions about learned-skills-index

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

FAQPage Schema
How do I automatically reuse successful code generation patterns for new tasks?

You index automatically learned skills derived from successful execution feedback to retrieve and apply proven solutions for new tasks based on task descriptions, file types, and domain context.

What is an automatically learned skills index and how does it work?

An automatically learned skills index surfaces effective patterns from past successful runs by capturing execution feedback to facilitate the retrieval and application of these learned patterns for future tasks.

How do I retrieve relevant learned skills for refactoring Python code?

To retrieve skills for refactoring Python code, you query the learned skills index using your task description, file types, and domain context to surface applicable patterns previously derived from successful runs.

Can I track the provenance and audit automatically learned skills from execution feedback?

Yes, the indexing system ensures provenance and auditability for all automatically learned skills derived from execution feedback and quality improvements, providing full traceability for applied patterns.

Does adaptive learning from past execution feedback require specific dependencies?

No specific dependencies are required. The system indexes and manages learned skills internally without external dependencies, relying only on its scripts and references components to facilitate adaptive learning.

When should I not use an automatically learned skills index for pattern recognition?

You should avoid using an automatically learned skills index when you lack successful execution feedback or quality improvement data, as the system relies on proven patterns from past successful runs to function effectively.