What is the benefit of externalizing Python modules?

Moving heavy Python implementations to separate files reduces the skill's line count by 60-70%, saving context window space while keeping logic testable via CLI.

Will optimizing my skill reduce its functionality?

No. The goal is to preserve 100% of the functionality while organizing it more efficiently through better file structure and separation of concerns.

How does progressive loading work in Claude Code?

Progressive loading uses frontmatter configuration to only load essential context initially, pulling in detailed instructions or optional features only when specifically required by the task.

When should I use the Skill Context Optimizer?

You should use this skill when your SKILL.md files exceed 300 lines, contain functions longer than 20 lines, or trigger 'Large skill file' warnings during validation.

Skill Context Optimizer

Name: Skill Context Optimizer
Author: athola

byathola

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Developer Tools

Reduces context overhead and improves skill performance by systematically externalizing code and consolidating redundant patterns.

About

The Skill Context Optimizer provides a systematic methodology for developers to manage and refactor large Claude Code Skills that exceed recommended size limits. By transforming heavy inline Python implementations into externalized CLI tools and implementing progressive loading patterns, it helps maintain high performance and readability while avoiding validation warnings. This skill is essential for maintaining complex workflows without exhausting the model's context window, offering an automated analysis tool to generate optimization plans and enforce separation of concerns.

Key Features

Systematic externalization of Python logic into standalone CLI tools
Frontmatter-driven token budget management and validation
Automated analysis tool to generate optimization plans for SKILL.md files
Progressive loading patterns to minimize initial context usage
Consolidation of redundant functions through strategic parameterization
10 GitHub stars

Use Cases

Standardizing repository structure for complex Claude Code plugins
Refactoring monolithic skills that trigger 'Large skill file' validation warnings
Optimizing context-heavy workflows to improve model response accuracy

About

Key Features

Systematic externalization of Python logic into standalone CLI tools
Frontmatter-driven token budget management and validation
Automated analysis tool to generate optimization plans for SKILL.md files
Progressive loading patterns to minimize initial context usage
Consolidation of redundant functions through strategic parameterization
10 GitHub stars

Use Cases

Standardizing repository structure for complex Claude Code plugins
Refactoring monolithic skills that trigger 'Large skill file' validation warnings
Optimizing context-heavy workflows to improve model response accuracy