Conciseness

Dense, reference-style body with no explanations of concepts Claude already knows — lane boundaries, hard rules, and script tables are all non-obvious domain knowledge. Not 5 because full script paths (e.g., "../../marketing-skill/skills/marketing-demand-acquisition/scripts/calculate_cac.py", ad_health_scorer.py, roas_calculator.py) are repeated verbatim across the Skill Integration and Workflows sections, which could be trimmed by defining paths once. Not 3 because the repetition is minor relative to the whole body, which is otherwise lean.

Actionability

Fully executable, copy-paste-ready commands with exact flags and outputs: "python3 .../roas_calculator.py --spend 5000 --revenue 18000 --conversions 120 --clicks 2400 --margin 70 --json", "ad_health_scorer.py --checks checks.json --platform meta --json", "sequence_analyzer.py --file sequence.json --json", plus concrete thresholds (score ≥ 70, blended CAC <$300, LinkedIn $150-400) and "--demo" for seeing the expected input shape.

Workflow Clarity

Three workflows with clearly sequenced numbered steps and explicit validation checkpoints with feedback loops: "re-run the scorer after fixes and confirm the score improved and no high-severity findings remain", "fix every flag and re-run until the quality score is ≥ 70", and "push a test lead through and confirm UTM parameters appear on the CRM contact record before any spend scales".

Progressive Disclosure

Clear overview structure with well-signaled, one-level-deep markdown links to the three sub-skills' SKILL.md files and their reference docs (e.g., "[SKILL.md](../../marketing-skill/skills/paid-ads/SKILL.md)", knowledge bases listed with one-line descriptions). No bundle files exist in this skill's own directory to verify. Not 5 because the body inlines each sub-skill's script usage summaries (paths, flags, outputs) that the linked sub-skill SKILL.mds should themselves carry — some duplication between the overview and the referenced detail level.

Specificity

Lists multiple specific concrete actions with comprehensive coverage: "comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget", "scoring paid-ads account health with ad_health_scorer.py", "designing a nurture sequence that must score 70+ on sequence_analyzer.py", plus coverage areas (channel mix, CAC/ROAS math, MQL→SQL workflows, attribution, nurture design). Uses third-person voice throughout. Not 4 because coverage is comprehensive rather than having minor gaps.

Completeness

Explicitly answers both: what ("orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills... Covers channel mix, CAC/ROAS math, MQL→SQL workflows, attribution, and nurture design") and when ("Use when building or fixing the acquisition engine — e.g., comparing channel CAC... before scaling spend, or designing a nurture sequence"). Concrete trigger phrases match the anchor-5 example exactly in structure.

Trigger Term Quality

Good keyword coverage of natural terms users would say: "acquisition engine", "reallocating a budget", "scaling spend", "nurture sequence", "CAC/ROAS", "MQL→SQL", "attribution". Not 5 because common variations like "lead generation", "growth marketing", or "campaign" are absent, while the anchor-5 example includes synonyms and extensions.

Distinctiveness Conflict Risk

Clear niche (demand-gen/acquisition funnel orchestration) with distinct concrete triggers (budget reallocation, account-health scoring, nurture sequence scoring). Not 5 because "Covers... attribution" overlaps the campaign-analytics measurement lane the body itself disclaims, and the orchestrator role inherently overlaps with the paid-ads and email-sequence skills it coordinates — minor overlap risk with closely related skills.