Conciseness

The ~460-line body extensively restates textbook Lean Startup concepts Claude already knows — a full Five Whys worked example ("Problem: Website went down… 1. Why? Server ran out of memory…"), the Small Batches section, growth-engine formulas, and a 10-row pivot-type table — plus padded sections that add no actionable value ("About the Author" Eric Ries bio, affiliate-tagged Amazon "Further Reading" links, and two overlapping 'Applied' sections). Not 3 because the padding and re-teaching are more than incidental; not 1 because the material is formatted as dense tables/bullets rather than rambling prose and some content (the scoring rubric, diagnostic) is genuinely additive.

Actionability

Quotes: concrete thresholds and questions throughout — "Viral coefficient > 1.0 = exponential growth", "LTV/CAC ratio (target: > 3x)", "Target: Level 4-5 before building at scale", "What's the riskiest assumption to test first?", a Quick Diagnostic table with per-question actions, and a Scoring mandate ("rate them 0-10… Always provide the current score and specific improvements"). For an instruction-only skill the guidance is mostly executable with minor gaps; not 5 because some guidance remains abstract ("Systematically improve metrics through validated learning") without a concrete procedure.

Workflow Clarity

Quotes: clearly sequenced multi-step processes — reverse planning ("1. What do we want to learn? … 3. What's the minimum we can build?"), the three-step innovation accounting framework, and the SaaS playbook ("1. Smoke test… 5. Pivot or scale: Based on cohort data") — with decision checkpoints present in most workflows (pivot criteria like "Metrics are flat despite multiple iterations", the Validation Ladder target, the Quick Diagnostic). Not 5 because some checkpoints are implicit and there are no explicit validate-then-revise feedback loops within the workflows; not 3 because most sequences do carry explicit criteria.

Progressive Disclosure

Quotes: every section ends with a clearly signaled pointer ("See: [references/build-measure-learn.md]… for detailed loop execution") and a consolidated "Reference Files" list describes all 11 reference files, all of which exist in ./references/ and are one level deep. Not 5 because the SKILL.md body inlines substantial detail (full Five Whys example, growth-engine mechanics, pivot table) that belongs in those reference files, making it longer than an overview; not 3 because the references are clearly signaled and well organized.

Specificity

Quotes: "Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn" plus "Covers innovation accounting and actionable metrics" — several concrete, distinct actions are named with only minor coverage gaps (e.g., metric design/cohort analysis are body capabilities not surfaced here). Not 3 because it names more than 1-2 actions; not 5 because the action list is not comprehensive.

Completeness

Quotes: a clear what ("Design MVPs, validated learning experiments, and pivot-or-persevere decisions using Build-Measure-Learn") followed by an explicit when with concrete trigger phrases ("Use when the user mentions…" and "Also trigger when…"). This clearly and explicitly answers both what and when, matching the top anchor; not 4 because the when-clause is fully explicit rather than merely present.

Trigger Term Quality

Quotes eight natural quoted triggers ("MVP scope", "pivot or persevere", "vanity metrics", "minimum viable experiment") plus natural situations ("deciding what to include in a first version", "evaluating whether to change direction on a product bet"). Not 5 because the most obvious user phrase "lean startup" itself (and "product-market fit") is never offered as a trigger; not 3 because coverage goes well beyond a few keywords with many synonyms.

Distinctiveness Conflict Risk

Quotes: "Clear niche with distinct triggers" — the description carves out lean-startup territory with unique trigger phrases and actively disambiguates adjacent skills ("For 5-day prototype testing, see design-sprint. For customer motivation analysis, see jobs-to-be-done."), minimizing wrong-skill triggering. Not 4 because it goes beyond being merely distinct by explicitly steering neighboring use cases away.