Lists multiple specific concrete actions and domains: evaluates 80 checks across conversion tracking, wasted spend, account structure, keywords, ads, and settings. Also specifies AI Max sub-features like search-term-matching, AI Brief, text customization, FUE, and brand exclusions.

Clearly answers both 'what' (deep analysis covering multiple campaign types, evaluates 80 checks across specific areas) and 'when' (explicit 'Use when user says...' clause with a comprehensive list of trigger terms).

Excellent coverage of natural terms users would say: 'Google Ads', 'Google PPC', 'search ads', 'PMax', 'Performance Max', 'AI Max', 'AI Brief', 'broad match audit', 'Quality Score check', 'search terms audit', 'Smart Bidding', 'Google campaign'. These are terms real users would naturally use.

Highly distinctive niche focused specifically on Google Ads analysis with very specific campaign types (PMax, AI Max, Demand Gen) and audit areas. Unlikely to conflict with other skills given the specificity of the domain and trigger terms.

The skill is quite long (~250+ lines) and includes some information Claude could infer (e.g., explaining what PMax asset groups are, what RSAs are). However, most content is domain-specific thresholds, rules, and checklists that genuinely add value. The AI Max section and DSA Migration Pre-Flight Checklist are thorough but border on verbose — some items could be condensed. The negative keyword rules section earns its place as critical operational guidance.

Highly actionable throughout: specific GAQL field names (campaign.ai_max_setting.enable_ai_max), concrete thresholds in the benchmarks table, exact match type syntax ([keyword] vs "keyword"), deduplication rules with tuple format (ad_group_id + keyword_text + match_type), specific dollar thresholds (>$10 spend AND 0 conversions), and a complete DSA migration checklist with checkboxes. The output format is copy-paste ready with the visual health score template.

The top-level process has clear sequencing with two explicit validation checkpoints (confirm ≥30 days data before proceeding, confirm all 80 checks evaluated before scoring). The DSA Migration Pre-Flight Checklist has a clear risk-staging workflow (LOW → HIGH) with a specific rollback trigger (>25% conversion drop in 7 days). The negative keyword rules include a feedback loop (review existing negatives for over-blocking). The MCP integration has a clear fallback path.

References to external files are well-signaled (ads/references/google-audit.md, benchmarks.md, scoring-system.md, gaql-notes.md), but no bundle files were provided to verify they exist. The SKILL.md itself is quite long and monolithic — the AI Max section, DSA Migration Checklist, and Demand Gen section could arguably be split into separate reference files. The inline content is well-structured with headers but the sheer volume in a single file works against progressive disclosure principles.