content-variants

I was digging through how skills handle content generation, and I noticed your content-variants approach tackles a pretty common problem—managing LLM output consistency across different contexts. The 72 score suggests you're in that tricky middle ground where the core idea is solid but there's room to tighten up the implementation details.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 72/100, which puts you in C territory—adequate work with real gaps. This is based on Anthropic's best practices for skill architecture. Your strongest area is Spec Compliance (12/15, solid YAML and naming), but Progressive Disclosure (18/30) is dragging you down. You've got good bones here, but the skill needs external reference files and clearer workflow guidance to really shine.

What's Working Well

• Solid spec compliance – Your frontmatter is clean, YAML is valid, and naming conventions follow the hyphen-case standard perfectly
• Clear problem domain – The framework structure (Variant Inventory → Versioning → Testing → Approval → Performance) makes logical sense
• Consistent terminology – You use 'variant', 'asset', and 'approval' consistently throughout, which helps readers follow along
• Grep-friendly structure – Clean, scannable format that works well in search contexts

The Big One: Missing Reference Files

This is what's really holding you back. Your Templates section lists three key templates as bullet points:

• Variant matrix (channel × persona × lifecycle stage)
• Approval checklist
• Performance tracker

But these don't actually exist as separate files. This kills your PDA score because you're trying to cram guidance into inline descriptions instead of building a layered structure. **...