Conciseness

The body is lean and every token earns its place: the per-platform click-ID table, deduplication field names, failure signatures, hashing spec, and EMQ thresholds are domain knowledge Claude cannot be assumed to know, with no padding or explanation of generic concepts. It matches the 'lean and efficient; assumes Claude's competence' anchor.

Actionability

For an instruction-only skill, the guidance is fully actionable: named tool calls (get_pixel_health, ga4_get_report, get_attribution, get_spend_reconciliation), exact per-platform event-ID fields, a precise hashing procedure (SHA-256 of lowercased, trimmed value), and numeric EMQ thresholds (6+ healthy, below 5 losing attribution). Specific examples cover the common failure cases.

Workflow Clarity

Six clearly sequenced audit steps with explicit feedback loops ('Have the account owner fix tags and publish... then repeat the test'; 'repeat a test conversion before scaling') and a per-platform reporting checklist (pixel present, server events observed, dedup verified, match quality, action needed). Evidence gaps are handled explicitly ('Mark unavailable evidence as unverified'), matching the top anchor.

Progressive Disclosure

A compact single-file skill (~54 lines) with well-organized numbered sections and a Rules section; nothing that belongs in a separate file is inlined and there are no nested references. Per the rubric's guidance for short skills with no need for external references, well-organized sections alone warrant the top score.

Specificity

The description enumerates multiple concrete audit actions — 'setup, Event Match Quality, deduplication, and click-ID capture' — with comprehensive coverage across six named platforms (Meta, Google, TikTok, LinkedIn, Reddit, Microsoft). Coverage is comprehensive within its domain, matching the top anchor rather than the 'minor gaps' of a 4.

Completeness

It explicitly answers both questions: the 'what' is auditing pixels and Conversions API implementations across setup, EMQ, deduplication, and click-ID capture, and an explicit 'Use when...' clause gives three concrete trigger scenarios. This matches the anchor for clear and explicit what AND when with concrete trigger phrases.

Trigger Term Quality

Natural trigger phrases like 'conversion counts disagree between platforms', 'EMQ or match rates are low', and 'tracking needs verification' align with what users would actually say. Common synonyms such as 'CAPI', 'server-side tracking', or 'conversion discrepancy' are missing, so it falls just short of the comprehensive synonym coverage of a 5.

Distinctiveness Conflict Risk

The ad-platform pixel/CAPI auditing niche is highly specific with distinct triggers (conversion count disagreement, low EMQ), creating minimal conflict risk with other skills. It clearly matches the 'clear niche with distinct triggers' anchor.