segmentation

I was curious how you'd approach the token efficiency of a chunking strategy—your PDA score reflects some solid architectural thinking, though there's room to tighten up the progressive disclosure in a couple of sections.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 82/100, solid B-grade territory. This is based on Anthropic's skill best practices. Your strongest pillar is Utility (17/20)—the segmentation frameworks and JSON examples actually solve real problems. Weakest area is Spec Compliance (12/15), but that's mostly minor trigger phrase gaps. You've got a lean, practical skill here; just needs some structural tightening.

What's Working Well

• Solid utility – The lifecycle grid, priority scoring, and segmentation matrix aren't theoretical; they're frameworks people can actually use. The JSON filter examples are concrete enough to copy-paste.
• Good reference architecture – Offloading the segmentation matrix to assets/segmentation_matrix.md keeps the main SKILL.md lean (36 lines). That's the right balance.
• Clear terminology – You're consistent with "segment," "filter," "suppression," and "cohort" throughout. No confusion about what you mean.
• Actionable tips section – Mentioning dashboards, A/B testing, and schema documentation shows you've thought about the feedback loop, even if it could be more explicit.

The Big One: Workflow Steps Need More Teeth

Your Framework section (lines 14-17) lists concepts, but it reads more like a checklist than a workflow. Right now you've got:

• Lifecycle Grid
• Data Integrity
• Priority Scoring

But someone using this skill doesn't know when to do each step or *ho...