customer-feedback-taxonomy

I came across your customer-feedback-taxonomy skill and noticed it's tackling a domain that's usually way more chaotic than it needs to be—but at 59 points, there's clearly room to tighten up how you're structuring this. What made you approach the taxonomy problem from this particular angle?

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 59/100, solidly in F territory. This is based on Anthropic's skill best practices. Your strongest pillar is Spec Compliance (11/15)—the YAML frontmatter is clean and the naming convention is correct. But Utility (8/20) and Ease of Use (14/25) are dragging you down hard. You've got the concept right, but developers need actual working templates and step-by-step guidance, not just layer names.

What's Working Well

• Valid YAML frontmatter – Your metadata is properly structured with all required fields
• Consistent terminology – The 5-layer model (Persona, Lifecycle, Drivers, Sentiment, Context) is clearly defined and used consistently throughout
• Clear section headers – The skill is well-organized with obvious navigation, even if it's brief
• Addresses a real problem – VoC taxonomy is genuinely chaotic in most orgs, so the core idea has solid utility potential

The Big One: Missing Templates and Reference Files

Here's what's killing your utility score: You mention three concrete deliverables—CSV taxonomy with validation, JSON schema for automation, and a governance checklist—but you don't actually provide any of them. This is the difference between a conceptual framework and a skill someone can actually use.

What you need: Create a references/ directory with three files:

• references/taxonomy-template.csv – An actual CSV with your 5 layers, sample entries, and validation rules
• references/taxonomy-schema.json – A JSON schema showing the structure developers should implement
• references/governance-checklist.md – The quarterly refresh checklist you mention

This alone would bump you from 8/20 to around 16/20 on utility. +8 points right there.

Other Things Worth Fixing

1. Add trigger phrases to your description – Currently it reads like a data model definition. Change it to: "Apply standardized taxonomy tags to customer feedback for VoC analysis. Use when 'tag feedback', 'normalize survey data', 'categorize support tickets', or 'audit VoC dataset'." This makes it discoverable and actionable. +2 points

2. Make the Framework section actionable – You list layers but don't explain how to apply them. Instead of just "Persona Layer – map ICP, role, and influence level," write: "1. Map each feedback item to a Persona (ICP tier, job role, decision influence)" with numbered steps. +5 points

3. Add a Validation section – Show developers how to verify they're applying the taxonomy correctly. Include a consistency check (ensure each item has all 5 layers), outlier detection, and drift tracking over time. +3 points

4. Include a before/after example – Show raw feedback transforming into properly tagged output with all 5 layers applied. One concrete example beats a hundred abstract descriptions. +3 points

Quick Wins

• Add trigger phrases to frontmatter description → +2 points
• Create three reference files (CSV, JSON, checklist) → +8 points
• Convert Framework to numbered, imperative steps → +5 points
• Add input/output examples → +3 points

That's +18 points with focused work—takes you to 77, solid C-territory, potentially B-range if you nail the execution.

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