What is the main benefit of the improvement-workflow skill?

It provides a structured, repeatable process for making data-driven enhancements to Claude Code skills while ensuring quality and preventing regressions.

How long does a full improvement cycle take?

A complete cycle typically takes between 5 to 9 hours, depending on the complexity of the skill and the number of improvements being applied.

Can I revert changes if an improvement doesn't work?

Yes, the workflow includes a backup step and a post-implementation validation phase specifically designed to detect and address ineffective changes.

Does this skill work with existing review tools?

Yes, it orchestrates specific component skills like review-multi and skill-validator to provide a comprehensive, multi-dimensional assessment.

Skill Improvement Workflow

Name: Skill Improvement Workflow
Author: adaptationio

byadaptationio

生産性とワークフロー

Orchestrates a systematic, six-step continuous improvement cycle for Claude Code skills using data-driven review and validation.

概要

The improvement-workflow skill provides a comprehensive, sequential pipeline for enhancing Claude Code skills by transforming raw review findings into validated performance gains. It manages the entire lifecycle of skill optimization—from initial multi-dimensional assessment and pattern analysis to systematic implementation and final impact measurement—ensuring that every update is evidence-based and contributes to ecosystem-wide learning. This skill is essential for developers looking to move beyond basic functionality to create production-grade, highly optimized AI capabilities.

主な機能

Validated update process with built-in backup and regression testing
End-to-end orchestration of the 6-step skill enhancement cycle
Automated extraction of best practices and documented learnings
0 GitHub stars
Objective performance benchmarking using before-and-after scoring metrics
Systematic pattern recognition to identify root causes of skill deficiencies

ユースケース

Iteratively refining a version 1.0 skill to production-grade quality
Capturing and propagating development patterns across an entire skill library
Systematically applying feedback from comprehensive multi-dimensional reviews

概要

主な機能

Validated update process with built-in backup and regression testing
End-to-end orchestration of the 6-step skill enhancement cycle
Automated extraction of best practices and documented learnings
0 GitHub stars
Objective performance benchmarking using before-and-after scoring metrics
Systematic pattern recognition to identify root causes of skill deficiencies

ユースケース

Iteratively refining a version 1.0 skill to production-grade quality
Capturing and propagating development patterns across an entire skill library
Systematically applying feedback from comprehensive multi-dimensional reviews