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analytics-tracking

When the user wants to set up, audit, or optimize analytics tracking (GA4, events, conversions). Also use when the user mentions "Google Analytics," "GA4," "event tracking," "conversions," "attribution model," "gtag," "data layer," "GA4 setup," "conversion tracking," "event setup," "User ID tracking," or "CTA attribution." For traffic insights, use traffic-analysis.

68

Quality

81%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

68%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, mostly actionable body that uses tables efficiently to stay lean. Its main weakness is workflow clarity: the setup-to-validation path lacks explicit checkpoints and a retry loop.

Suggestions

Add a numbered implementation workflow with explicit validation checkpoints (e.g., 1. Install gtag, 2. Verify with DebugView, 3. If events missing, fix and re-verify, 4. Mark conversions) to strengthen workflow_clarity.

Replace the placeholder gtag event template with at least one complete copy-paste-ready example using real values to lift actionability to 5.

Trim definitional sentences Claude already knows (e.g., the attribution-model definition and 'Cross-device, cross-session user identification') to improve conciseness.

DimensionReasoningScore

Conciseness

Mostly efficient and table-driven with little padding, though a few definitional lines restate concepts Claude already knows (e.g., 'Attribution models determine how conversion credit is assigned across touchpoints').

4 / 5

Actionability

Provides concrete gtag.js syntax, a recommended-events table with key parameters, naming rules, and a DebugView command; the main event example uses placeholder templates rather than a fully copy-paste-ready snippet.

4 / 5

Workflow Clarity

An optimization flow and a testing checklist give a rough sequence, but there is no explicit validate→fix→retry feedback loop or numbered checkpoints before launch.

3 / 5

Progressive Disclosure

Well-organized into clearly headed sections with tables and one-level external links, with no nested references; minor gap is that the full events/attribution detail lives inline rather than in reference files.

4 / 5

Total

15

/

20

Passed

Description

95%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, well-targeted description that clearly defines the skill's scope and triggers with comprehensive natural keywords and a useful boundary reference. The only minor gap is that the stated actions are somewhat high-level.

DimensionReasoningScore

Specificity

Names the domain and three concrete actions ('set up, audit, or optimize analytics tracking (GA4, events, conversions)'), but the actions remain fairly high-level without enumerating more granular capabilities.

4 / 5

Completeness

Explicitly states both what ('set up, audit, or optimize analytics tracking') and when ('Also use when the user mentions...') with concrete trigger phrases, plus a boundary pointer to traffic-analysis.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including synonyms and product names ('Google Analytics,' 'GA4,' 'gtag,' 'data layer,' 'event tracking,' 'CTA attribution'), matching how users actually phrase these requests.

5 / 5

Distinctiveness Conflict Risk

Clear analytics-tracking niche with distinct triggers and an explicit disambiguation ('For traffic insights, use traffic-analysis'), minimizing conflict risk with adjacent skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
kostja94/marketing-skills
Reviewed

Table of Contents

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