pivot-table-generator

I took a look at your pivot-table-generator skill and wanted to share some thoughts.

Links:

• GitHub
• Your skill in the SkillzWave marketplace

The TL;DR

You're at 47/100, which puts you in F territory. This is based on Anthropic's skill best practices. The strongest part is your spec compliance (11/15) - your frontmatter is clean and follows conventions. The real struggle is Progressive Disclosure Architecture (11/30) and Ease of Use (12/25). You've got the bones of something useful here, but it needs some structural work.

What's Working Well

• Clean frontmatter - Your YAML is valid with all required fields present, and the skill name follows proper hyphen-case conventions
• Consistent terminology - You use clear, consistent language around aggregations and features
• Focused scope - The skill addresses a specific problem (pivot table generation) rather than trying to do everything

The Big One: This Reads Like a CLI Tool, Not a Skill

Here's the thing: your skill is structured like documentation for a command-line utility, not guidance for Claude to follow. The entire framing is "run this command with these flags" rather than "here's how Claude should approach pivot table generation."

Why it matters: Skills are behavioral guides - they tell Claude what to do, how to think about a problem, and when to activate. Right now, it's a feature list.

The fix: Reframe this as a workflow. Instead of:

CLI Usage: python pivot_table_generator.py --data sales.csv

Structure it as steps Claude should follow:

1. Parse the input data source (CSV, Excel, or database connection)
2. Identify grouping columns and aggregation fields
3. Select appropriate aggregation functions (sum, count, average, etc.)
4. Generate the pivot structure
5. Optionall...