Conciseness

Dense and free of basic-concept padding, but the cross-skill routing (attribution-reconciler, email-sequence-designer, consent-registry, social-measurement-loop) is repeated across Scope guard, Instructions step 7, Reference Materials, and Next Best Skill, and 'Expected output' / 'Done when' / Instructions overlap — mostly efficient but could be tightened, matching the score-2 anchor.

Actionability

Concrete and specific: named decomposition heuristics, a UTM taxonomy example ('utm_source=<surface>&utm_medium=social-share'), an executable script call ('python3 scripts/connectors/pageviews.py'), and a precise field-replacement procedure ('REPLACE the lowest-value existing form field... Free-text first... run 2-4 weeks, then code'); for an instruction-only methodology skill the guidance is copy-ready.

Workflow Clarity

A clear 8-step sequence (Inventory → hygiene spec → field design → decompose → branded-lift proxy → declare method → route → report) anchored by an explicit 'Done when' verification checklist and per-step labeling checks ('Label every split Estimated', 'no derived number presented as Measured') as checkpoints.

Progressive Disclosure

Well-organized sections with a Reference Materials list giving one-line descriptions of each one-level-deep link (echo-benchmark.md, owned-community-loop.md, CONNECTORS.md, etc.), clear cross-skill navigation, and no nested reference chains — matching the score-3 anchor of a clear overview with well-signaled one-level-deep references.

Specificity

Lists multiple specific concrete deliverables — 'a share-link/UTM hygiene spec', 'a self-reported attribution field design that replaces an existing form field', 'a GA4 direct-traffic decomposition read (deep-URL directs, mobile-app skew, private-push correlation)', and 'a branded-search-lift proxy from GSC plus Wikipedia pageviews' — matching the score-3 anchor of multiple specific concrete actions.

Completeness

Explicitly answers both what (the produced pack: hygiene spec, attribution field, decomposition read, branded-lift proxy, method doc) and when via the 'Use when the user asks to...' clause with multiple concrete scenarios; the score-3 anchor of clearly answering both what AND when with explicit triggers is met.

Trigger Term Quality

Quotes natural user phrases a person would actually say — 'figure out where our direct traffic really comes from', 'measure dark social', 'add a how-did-you-hear-about-us field', 'show social drives signups without click data' — giving good coverage of real trigger language rather than jargon.

Distinctiveness Conflict Risk

Occupies a clear niche (organic dark-social attribution) and draws an explicit negative boundary — 'Not for paid-channel attribution reconciliation ... — use attribution-reconciler' — making it unlikely to trigger for the wrong skill.