Can it help with skills that trigger at the wrong time?

Yes, it specifically gathers feedback on trigger issues and helps refine the skill's description and metadata to ensure it activates only when appropriate.

Does it modify my files automatically?

It presents a detailed improvement plan first and only executes changes to SKILL.md and related assets after the user grants approval.

What technical standards does it check for?

It evaluates skills for descriptive naming conventions, concise documentation (under 500 lines), single responsibility principles, and the presence of test scenarios.

How does this skill differ from reviewing-skills?

While reviewing-skills provides read-only technical feedback, improving-skills actively gathers user feedback and implements the proposed code changes directly.

Improving Skills

Name: Improving Skills
Author: taisukeoe

bytaisukeoe

Productivity & Workflow

Refines and optimizes existing Claude Code skills through iterative user feedback and technical best practices.

About

Improving Skills provides a structured framework for upgrading and refactoring Claude Code capabilities by combining qualitative user feedback with rigorous technical analysis. It guides developers through a systematic workflow—from identifying pain points and trigger issues to implementing code changes and verifying fixes—ensuring that agentic skills remain efficient, modular, and aligned with industry standards for naming, scope, and documentation.

Key Features

Automated technical analysis against naming, size, and single-responsibility standards
Structured improvement planning that distinguishes between user requests and technical debt
Integrated verification step to ensure quality and compliance with best practices
Feedback-driven refinement to address specific user pain points and edge cases
Direct implementation of changes to SKILL.md, scripts, and reference assets
0 GitHub stars

Use Cases

Updating legacy skills to follow the latest agentic AI development patterns and metadata standards
Fixing an existing skill that triggers inconsistently or produces suboptimal output
Refactoring a large, monolithic skill into more specialized, modular components

About

Key Features

Automated technical analysis against naming, size, and single-responsibility standards
Structured improvement planning that distinguishes between user requests and technical debt
Integrated verification step to ensure quality and compliance with best practices
Feedback-driven refinement to address specific user pain points and edge cases
Direct implementation of changes to SKILL.md, scripts, and reference assets
0 GitHub stars

Use Cases

Updating legacy skills to follow the latest agentic AI development patterns and metadata standards
Fixing an existing skill that triggers inconsistently or produces suboptimal output
Refactoring a large, monolithic skill into more specialized, modular components