markdown-segment-translator

I took a look at your markdown-segment-translator skill and wanted to share some thoughts.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 69/100, which lands you in D territory — it's solving a real problem, but there's meaningful work to get this to production-ready. This is based on Anthropic's best practices for skills. Your strongest area is Spec Compliance (12/15 — good frontmatter structure), but Writing Style (5/10) is dragging things down hard. The core issue is repetition and structure that wastes tokens.

What's Working Well

• Solid problem-solving: You're tackling a genuinely useful challenge — breaking long markdown into segments for translation when token limits are a blocker. That's practical utility.
• Good example coverage: You included a complete end-to-end example showing all three steps, which really helps people understand how to use this.
• Clean parameter design: The segment-size and max-segments constraints are well-thought-out and give users meaningful control.
• Valid frontmatter: Your YAML structure is clean and follows conventions properly.

The Big One: Content Repetition

This is your biggest opportunity for improvement. You explain the same 3-step workflow four separate times in different formats: as numbered steps, in a complete example, in a tool sequence breakdown, and then again in the rationale section. That's token waste and makes the skill harder to scan.

Here's the fix: Create a references/ directory structure. Keep ONE authoritative step list in SKILL.md (maybe 10-15 lines), then move your detailed examples, implementation guides, and design rationale into separate files like:

• `re...