working-with-spreadsheets

I took a look at your working-with-spreadsheets skill and wanted to share some thoughts.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 81/100, which puts you solidly in B territory — good fundamentals with some polish needed. This is based on Anthropic's Claude Skills best practices rubric. Your strongest pillar is Utility (17/20) — the skill actually solves real problems with financial modeling and Excel-Python integration. The weak spot is Progressive Disclosure Architecture (18/30) — you've crammed everything into one 216-line file when you could split it into layered references.

What's Working Well

• Strong practical examples — Your WRONG/CORRECT pattern examples are genuinely helpful. The financial modeling focus gives it clear direction.
• Good trigger specificity — .xlsx files, financial models, data analysis — these are concrete activation points that make the skill discoverable and focused.
• Solid verification workflow — The copy-paste checklist and run-check-fix approach shows you've thought about how someone would actually use this thing.
• Real utility — This solves an actual gap between Excel and Python. That's worth something.

The Big One: Missing References Architecture

Here's what's holding you back from an A: all 216 lines are crammed into SKILL.md. You need a references/ directory to split out the detailed patterns. This matters because:

1. It bloats the main file and makes it harder to scan
2. It wastes tokens on full code examples when you could reference them
3. It doesn't follow the layered disclosure pattern that efficient skills use

The fix: Create these files in a references/ subdirectory:

• formula-patterns.md —...