sentiment-feedback-loop

Looking at your sentiment-feedback-loop skill, I'm curious about the choice to implement feedback collection rather than just sentiment classification—seems like you're building toward continuous model improvement, but the 69/100 suggests there might be some architectural decisions worth revisiting.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 69/100, solidly D territory. This is based on Anthropic's skill evaluation rubric across five pillars. Your Writing Style scores best at 8/10—the prose is clear and purposeful. The weak spots are Utility (12/20) and Progressive Disclosure (20/30)—you've got a solid framework, but it needs more concrete templates and actual implementation depth to justify its weight class.

What's Working Well

• Clean, consistent terminology – You use "sentiment," "feedback," and "VOC" consistently throughout, which makes the skill easy to follow
• Solid five-step structure – The framework (capture → enrich → analyze → act → close loop) is logically sound and mirrors real CS workflows
• Objective, practical tone – No marketing fluff, just straightforward instructions on how to run a feedback loop

The Big One: Missing Templates Kill Your Utility Score

Your Templates section (lines 20-23) lists three things you could build but provides zero actual content:

- Sentiment tagging spreadsheet or Notion template.
- Weekly VOC digest format for leadership.
- Follow-up tracker for commitments back to customers.

This is a -4 point hit on Utility. Someone trying to use this skill right now has to reverse-engineer what you meant instead of copy-pasting working templates. Create three reference files:

• `references/sentiment-tagging-template.md...