Conciseness

"**CTR**: Click-through rate", "**ROI**: Return on investment percentage" and similar acronym expansions explain concepts Claude already knows, and the 'Typical Analysis Workflow' and 'How to Use' sections duplicate largely the same commands. Mostly efficient, but several sections could be trimmed or merged — matching 'includes some unnecessary explanation or could be tightened'. Not 4 because the duplication and glossary-style padding go beyond 'minor instances'.

Actionability

Every usage is a copy-paste-ready command with flags and defaults ("python scripts/attribution_analyzer.py campaign_data.json --model time-decay --half-life 14"), complete JSON input schemas per script, and a pre-flight validation command ("python -m json.tool your_file.json") — fully executable with common cases covered. Not 4 because there are no real gaps in executable guidance.

Workflow Clarity

The 'Typical Analysis Workflow' gives a clearly sequenced 3-step plan with per-step purpose comments and a narrative on chaining results, plus an Input Validation section listing expected error types. Not 5 because validation is documented separately rather than woven into the workflow as an explicit checkpoint/feedback loop, and not 3 since a concrete validation step is present and these are read-only (non-destructive, non-batch) operations.

Progressive Disclosure

Good structure against the actual bundle: a Reference Guides table signals all three one-level-deep `references/*.md` files (all verified to exist) with purpose statements, and `assets/sample_campaign_data.json` is cited for input examples. Not 5 because four bundle files (the three `assets/*_template.md` templates and `assets/expected_output.json`) are never linked from SKILL.md — 'Use the provided template' in Best Practices gives no path, leaving them undiscoverable.

Specificity

"Analyzes campaign performance with multi-touch attribution, funnel conversion analysis, and ROI calculation" names three concrete actions that comprehensively cover the skill's three tools, matching the 'multiple specific concrete actions; comprehensive coverage' anchor. Not 4 because coverage within the campaign-analytics domain is complete, not 'minor gaps'.

Completeness

It explicitly answers both: what ("multi-touch attribution, funnel conversion analysis, and ROI calculation for marketing optimization") and when ("Use when analyzing marketing campaigns, ad performance, attribution models...") with concrete trigger phrases, exactly matching the anchor-5 example structure. Not 4 because the 'when' clause is explicit and specific, not merely present.

Trigger Term Quality

"marketing campaigns, ad performance, attribution models, conversion rates, marketing ROI, ROAS, CPA, and campaign metrics across channels" gives good natural-term coverage including acronym synonyms. Not 5 because common variations like "funnel analysis", "marketing analytics", and "ad spend" are absent from the trigger clause.

Distinctiveness Conflict Risk

A clear niche (marketing campaign analytics) with distinct domain-specific triggers (ROAS, CPA, attribution models) that would not fire for generic data-analysis or document skills; minimal conflict risk. Not 4 because the triggers are unambiguously marketing-domain, not overlapping with closely related skills.