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analytics-tracking

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data.

54

Quality

61%

Does it follow best practices?

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tessl review fix ./skills/analytics-tracking/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

63%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.

The body is well organized with genuinely actionable guidance (naming conventions, taxonomy, output templates, a strong worked example) and explicit validation checkpoints. Its weaknesses are the padded inlined scoring rubric, which inflates token cost without adding operational instruction, and the complete absence of reference files to split that detail out of the overview.

Suggestions

Move the detailed Measurement Readiness rubric (weights, category definitions, bands) into a references/ file and keep only a one-line pointer plus the top diagnostic questions in SKILL.md.

Tighten the Phase 0 disclaimers to a single sentence; the caveats about non-validated thresholds are currently repeated across multiple sections.

Number the remaining phases (e.g. 'Phase 2: Event Model Design', 'Phase 3: Validation') so the full workflow order is explicit rather than implied by heading flow.

DimensionReasoningScore

Conciseness

Mostly efficient bullet-style guidance, but the ~80-line Phase 0 scoring rubric (weights table, six category definitions, bands, and repeated caveat lines like 'it has no empirically validated score thresholds') pads the file with material Claude does not need inline. Matches 'mostly efficient but includes some unnecessary explanation or could be tightened'; not 4 because the rubric section and frequent horizontal rules are noticeable slack.

3 / 5

Actionability

For an instruction-only skill the guidance is concrete: a naming pattern 'object_action[_context]' with examples, a full event taxonomy, output tables with defined columns, and a worked example specifying the deduplication key and consent-state tests. Not 5 because the GA4/GTM section stays high-level ('Prefer GA4 recommended events') without specific setup steps.

4 / 5

Workflow Clarity

Phase 0 (inspect evidence) and Phase 1 (context and decisions) are sequenced, and validation checkpoints are explicit ('Real-time verification', 'Duplicate detection', 'Test consent denied, consent granted... separately'). Not 5 because the middle sections (Event Model Design through Output Format) are topical headings rather than a numbered sequence, leaving the order implicit.

4 / 5

Progressive Disclosure

Sections are well organized, but there are no bundle files at all: the detailed measurement rubric and the GA4/GTM implementation guidance are inlined reference-grade material in a 400+ line SKILL.md. Matches 'some structure but... content that should be separate is inline'; not 4 because nothing is split out to keep the overview lean.

3 / 5

Total

14

/

20

Passed

Description

58%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.

The description uses third person and clearly states what the skill does with three distinct actions, but it entirely lacks a 'Use when...' trigger clause and natural trigger terms like GA4, GTM, or tracking plan. This limits discoverability and leaves the 'when to use' question unanswered.

Suggestions

Append an explicit trigger clause, e.g. 'Use when setting up or auditing GA4/GTM instrumentation, defining events and conversions, or investigating duplicate or discrepant conversion counts.'

Include natural trigger terms and synonyms users would actually say — 'GA4', 'GTM', 'tracking plan', 'event tracking', 'conversion tracking' — to raise trigger-term coverage.

Mention the concrete artifacts the skill works with (tracking plans, event definitions, UTM parameters) to sharpen specificity.

DimensionReasoningScore

Specificity

Names the domain ('analytics tracking systems') and three concrete actions ('Design, audit, and improve'), matching the 'several specific actions; minor gaps' anchor. Not 5 because it omits the concrete artifacts it works with (events, conversions, UTMs, GA4/GTM); not 3 because three distinct actions exceed the 1-2 action anchor.

4 / 5

Completeness

Has a clear 'what' ('Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data') but no 'Use when...' clause or equivalent explicit trigger guidance, which caps completeness at 3 per the judging guidelines.

3 / 5

Trigger Term Quality

'analytics tracking systems' and 'audit' are relevant keywords users might say, but common variations and synonyms are missing ('GA4', 'GTM', 'tracking plan', 'conversion tracking', 'event tracking'), matching the 'some relevant keywords but missing common variations' anchor.

3 / 5

Distinctiveness Conflict Risk

'Analytics tracking systems' carves a mostly distinct niche with only minor overlap risk against closely related marketing/SEO/CRO skills, matching the 'mostly distinct; minor overlap risk' anchor. Not 5 because adjacent optimization skills could plausibly compete for similar queries.

4 / 5

Total

14

/

20

Passed

Validation

93%

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

Validation — 15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
sickn33/agentic-awesome-skills
Reviewed

Table of Contents

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