Conciseness

The body is dense with expert-specific data (thresholds, benchmarks, named sources) and contains no padding over concepts Claude already knows. Minor trimming is possible: the Receipts section duplicates content already in references/quotes.md, and the 8-criterion grading table is bulk inlined.

Actionability

Fully actionable for an instruction-only skill: verbatim survey questions, exact thresholds ('40%', '30-response floor', 'free 60% / paid 20-30%'), numbered play steps, a copy-paste-ready deliverable template, and a grading rubric with explicit 1/3/5 anchors covering the common cases.

Workflow Clarity

The sequence is explicit — diagnose (max 4 questions) → routing table → numbered plays → filled-in deliverable — with validation checkpoints ('Done when you can state: the score, n, the highest-scoring segment...'), confidence scaffolding, and a re-run feedback loop in Play B. Not a destructive/batch skill, so no hard cap applies.

Progressive Disclosure

Good structure with clearly signaled one-level-deep references ('references/frameworks.md - every framework in this skill, how to run it'; 'references/quotes.md - verified quotes with timestamps'), both verified to exist with real content and no nested references. Held below 5 because the Receipts section duplicates quotes.md inline and the full grading table and deliverable template are bulk content that could live in a reference file.

Specificity

'Diagnoses product-market fit from survey, usage and pipeline data and returns a scored verdict with the next moves' names concrete inputs and outputs in third person, listing several specific actions. Not 5: coverage gaps remain (no mention of grading existing PMF analyses or building the half-and-half roadmap); not 3: it goes well beyond naming a domain plus one action.

Completeness

Explicitly answers both what ('Diagnoses product-market fit from survey, usage and pipeline data and returns a scored verdict with the next moves') and when ('Use when you ask...', followed by concrete trigger phrases) — matching the anchor-5 example structure.

Trigger Term Quality

Comprehensive natural-language triggers users would actually say, quoted directly: 'do we have product-market fit', 'is our PMF survey good enough', 'what does 35% very disappointed mean', 'should we scale yet', 'why is growth stalling', plus synonyms like 'Sean Ellis survey', 'retention check', and 'PMF level read'.

Distinctiveness Conflict Risk

A clear PMF-diagnosis niche with distinctive triggers (Sean Ellis survey, '35% very disappointed', PMF level read). Not 5: 'why is growth stalling' and 'should we scale yet' could plausibly match a general growth-analytics or scaling skill; not 3: the PMF framing is unmistakable.