Conciseness

Mostly efficient and high-signal — domain-specific heuristics (how each model lies, per-source biases, anonymity guardrails) rather than concepts Claude already knows — but the ~210-line body carries minor rhetorical padding ("the hardest question in marketing," "the whole game," "say so out loud") that could be trimmed. Not a 5 because not every token earns its place; not a 3 because the bulk is skill-specific judgment, not generic explanation.

Actionability

Concrete and specific throughout: a model comparison table, decision heuristics keyed to budget/cycle, a 5-step reconciliation procedure, guardrails with explicit exclusion lists (accounts.google.com, checkout.stripe.com, login.*), and pattern-level code (metadata passthrough ?metadata[ph_distinct_id]=<id>, $identify with $anon_distinct_id, $initial_utm_source). Not a 5 because the code is pattern/placeholder-level rather than copy-paste executable script blocks; not a 3 because guidance is detailed and specific, not pseudocode-vague.

Workflow Clarity

Clear sequenced procedures — the third-party stitch (3 numbered steps) and reconciliation framework (5 numbered steps) — with verification checkpoints present ("Audit first," "Expect near-zero numbers until the stitch is verified in prod," the fail-closed anonymity guard). The destructive/batch cap at 3 does not apply because validation is included, not missing. Not a 5 because there is no explicit validate→fix→retry loop or checklist spelling out error recovery.

Progressive Disclosure

Well-structured overview pointing one level deep to clearly signaled references (attribution-models.md, measurement-paradigms.md, by-business-type.md, first-party-tracking.md), all four of which exist in the bundle. Capped at 4 rather than 5 because references/conversion-tracking.md is referenced in the body but is missing from the bundle — a minor navigation gap, even though it is a cross-skill (ads) pointer.

Specificity

Lists multiple concrete actions across both pillars — "choose or interpret an attribution model," "reconcile conflicting numbers across tools," "instrument attribution themselves," "stitch my bookings to their source," "close the identify gap," "track conversions on a third-party domain" — comprehensive rather than just several with minor gaps.

Completeness

Explicitly answers both what (figure out which marketing drives conversions, choose/interpret models, reconcile numbers) and when ("Also use when the user mentions...") with concrete trigger phrases, matching the anchor exactly.

Trigger Term Quality

Comprehensive natural-language triggers and synonyms users actually say — "attribution," "first-touch vs last-touch," "MMM," "my dashboards disagree," "Google/Meta says X but GA says Y," "dark social," "how did you hear about us," plus tool-specific phrases like "SavvyCal/Calendly attribution."

Distinctiveness Conflict Risk

Clear niche with explicit boundary disambiguation — "For event tracking setup and UTMs, see analytics. For ad-platform pixels/CAPI, see ads. For pipeline and CRM revenue reporting, see revops. For the AI-search attribution blind spot, see ai-seo" — minimizing conflict risk.