continuous-skill-polishing

What problem does it solve?

This Skill transforms repetitive tasks into highly consistent and performant AI skills through a continuous improvement loop. It automates the process of identifying patterns, tracking performance, and iteratively refining skills, ensuring your AI agents get better with every interaction.

Core Features & Use Cases

• Pattern Identification: Automatically detects repeated task patterns suitable for conversion into versioned skills.
• Performance Tracking: Logs skill usage, successes, and failures, providing data for targeted improvements.
• Iterative Polishing: Guides the process of updating skills based on feedback and failure analysis, achieving up to 20% consistency improvement.
• Use Case: You frequently perform "CSV to JSON transformation with validation." This skill helps you formalize that into a versioned skill, track its success rate, and then iteratively improve its error handling for encoding issues or missing fields based on real-world failures.

Quick Start

1. Identify a repeated task pattern

task="Transform CSV to JSON with validation"

2. Create an initial skill directory and SKILL.md

mkdir -p .claude/skills/csv-to-json-transformer

... add initial implementation to .claude/skills/csv-to-json-transformer/SKILL.md ...

3. Version control the new skill

git add .claude/skills/csv-to-json-transformer git commit -m "feat: add csv-to-json-transformer skill (v1.0.0)"