optimizing-large-skills

6.6

178

Systematic methodology to reduce skill file size through externalization, consolidation, and progressive loading patterns. Triggers: large skill, skill optimization, skill size, 300 lines, inline code, skill refactoring, skill context reduction, skill modularization Use when: skills exceed 300 lines, multiple code blocks (10+) with similar functionality, heavy Python inline with markdown, functions >20 lines embedded DO NOT use when: skill is under 300 lines and well-organized. DO NOT use when: creating new skills - use modular-skills instead. Consult this skill when skills-eval shows "Large skill file" warnings.

optimization

6.6

Rating

Installs

Tools & Utilities

Quick Review

Excellent skill for optimizing bloated skill files. The description clearly defines when to use it (>300 lines, 10+ code blocks, skills-eval warnings) and when NOT to use it. Task knowledge is comprehensive with concrete workflows, decision trees, and quantified impact metrics (60-70% reduction from externalization). Structure is well-organized with clear phases and references to supporting modules. Novelty is moderate-to-good: while file refactoring is common, applying it systematically to AI skill files with progressive loading and CLI tool patterns is contextually valuable and would save tokens versus ad-hoc optimization. Minor deduction on structure for slight redundancy between Quick Reference and Decision Tree sections, but overall this is a highly practical, well-documented skill that a CLI agent could readily invoke and follow.