claude-md-enhancer

I've been digging through the CLAUDE.md files and skill system, and I see you're working on enhancing markdown processing for Claude Code—solid conceptual foundation, but the execution is pulling the grade down to 69. What's the thinking behind your current architecture choices, and where do you see the biggest friction points in the token efficiency?

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 69/100, solidly in D territory. This evaluation is based on Anthropic's Progressive Disclosure Architecture (PDA) standards—the methodology that keeps skills lean and navigable. Your strongest area is Utility (15/20)—the skill genuinely solves a real problem with CLAUDE.md generation. But Writing Style (5/10) is where you're bleeding points, and your token economy needs serious attention (18/30 on PDA).

What's Working Well

• Real utility here. The skill addresses an actual pain point—CLAUDE.md generation isn't trivial, and your approach of analyzing existing files then generating structured content is solid.
• Good modular structure. You've got examples/, scripts/, and references/ directories—that's the right instinct for layering. The bonus points for "verifiable intermediate outputs" and "exemplary examples" reflect that.
• Reasonable trigger coverage. "Setting up CLAUDE.md", "improve my CLAUDE.md", "analyze existing files"—these hit the right use cases, though they're buried in verbose description.

The Big One: 447 Lines Is Too Much

Your SKILL.md is 447 lines when it should be <150. This is your biggest token drain. You've got Example 1, Example 2 (appears twice—duplicate numbering), an Interactive Example section, and Workflow Steps all crammed into the mai...