Does this affect the functionality of my Claude skills?

No, the methodology is designed to preserve all functionality while improving maintainability and reducing the token footprint of the skill documentation.

What is the 'Externalize-Consolidate-Progress' pattern?

It is a methodology to move heavy implementations to external files, merge similar functions via parameterization, and implement progressive loading for non-essential content.

When should I use the Skill Size Optimizer?

Use this skill when your SKILL.md file exceeds 300 lines, contains more than 10 code blocks, or triggers 'Large skill file' warnings during validation.

Can I use this for creating new skills?

While the principles apply, it is recommended to use the 'modular-skills' pattern for new projects; this skill is specifically optimized for refactoring existing large skills.

How much can this skill reduce file size?

By externalizing heavy Python modules and consolidating functions, you can typically achieve a 60-70% reduction in core file size and 40-60% reduction in token usage.

Skill Size Optimizer

Name: Skill Size Optimizer
Author: athola

byathola

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123

开发者工具

Reduces Claude Code skill file size and token usage through systematic externalization and modularization.

关于

This skill provides a systematic methodology for refactoring large Claude Code skill files that exceed recommended length limits. By applying the Externalize-Consolidate-Progress pattern, it helps developers reduce SKILL.md complexity, eliminate 'Large skill file' warnings, and significantly optimize token consumption. It includes an automated analysis tool to identify heavy code blocks and provides a structured workflow for moving logic into dedicated Python modules while maintaining clear, discoverable documentation.

主要功能

Progressive loading patterns to minimize initial token budget impact
Systematic Externalize-Consolidate-Progress (ECP) transformation pattern
123 GitHub stars
Automated analysis tool for identifying optimization opportunities in SKILL.md files
Standardized directory structure for modularized skill components
Size reduction strategies for Python modules, functions, and structured data

使用场景

Refactoring complex skills that exceed the 300-line recommended limit
Reducing token costs and context window usage for frequently invoked AI skills
Resolving skills-eval validation warnings for 'Large skill file' errors

关于

主要功能

Progressive loading patterns to minimize initial token budget impact
Systematic Externalize-Consolidate-Progress (ECP) transformation pattern
123 GitHub stars
Automated analysis tool for identifying optimization opportunities in SKILL.md files
Standardized directory structure for modularized skill components
Size reduction strategies for Python modules, functions, and structured data

使用场景

Refactoring complex skills that exceed the 300-line recommended limit
Reducing token costs and context window usage for frequently invoked AI skills
Resolving skills-eval validation warnings for 'Large skill file' errors