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analytics-tracking

Design, audit, and improve analytics tracking systems that produce reliable, decision-ready data. Use when the user wants to set up, fix, or evaluate analytics tracking (GA4, GTM, product analytics, events, conversions, UTMs). This skill focuses on measurement strategy, signal quality, and validation— not just firing events.

54

Quality

61%

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

Quality

Content

22%

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

This SKILL.md is essentially a table of contents with 24 links to sub-skill files but contains almost no actionable content in the body itself. Without the referenced sub-skill files, Claude would have no concrete guidance on analytics tracking implementation. The file lacks executable examples, clear workflows, and meaningful organization of its many references.

Suggestions

Add a concise quick-start workflow directly in SKILL.md (e.g., 5-step process: assess readiness → define questions → design event taxonomy → implement → validate) with concrete examples at each step.

Include at least one executable code example (e.g., a GTM dataLayer.push snippet, a GA4 event configuration, or a UTM validation script) so the skill is actionable even without sub-files.

Group the 24 sub-skill links into logical categories (e.g., 'Discovery & Context', 'Design Principles', 'Implementation', 'Validation') with brief 1-line descriptions of what each contains.

Add explicit validation checkpoints to the workflow (e.g., 'Verify events fire in GTM Preview mode before publishing', 'Cross-check GA4 DebugView against expected event schema') to support error recovery in tracking implementations.

DimensionReasoningScore

Conciseness

The opening framing ('You are an expert...', 'You do not...') is somewhat useful for setting constraints but could be tighter. The bulk of the file is a list of 24 sub-skill links, which is lean in itself but the link titles are poorly named (e.g., '2. Total Score: **0–100**') and don't convey actionable meaning efficiently.

2 / 3

Actionability

The SKILL.md contains virtually no concrete, executable guidance—no code snippets, no specific commands, no examples, no schemas. It is almost entirely a table of contents pointing to sub-skill files, with no actionable content in the body itself. Without bundle files to evaluate, the skill provides no usable instructions.

1 / 3

Workflow Clarity

Despite mentioning 'Phase 0' and 'Required' steps, there is no actual workflow described—no sequenced steps, no validation checkpoints, no feedback loops. The numbered list is a link index, not a process. A user or Claude reading this would not know what to do in what order.

1 / 3

Progressive Disclosure

The skill attempts progressive disclosure by linking to 24 sub-skill files, which is the right structural idea. However, the link titles are poorly descriptive (some are just section numbers or formatting artifacts like 'Total Score: **0–100**'), there's no grouping or categorization of the links, and no bundle files were provided to verify the references resolve. The navigation is flat and hard to scan.

2 / 3

Total

6

/

12

Passed

Description

100%

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

This is an excellent skill description that hits all the key criteria. It provides specific concrete actions, includes a comprehensive set of natural trigger terms spanning tools and concepts, has an explicit 'Use when' clause, and carves out a distinct niche. The closing clarification 'not just firing events' is a nice touch that further differentiates the skill's depth from simpler event-tagging approaches.

DimensionReasoningScore

Specificity

Lists multiple concrete actions: 'Design, audit, and improve analytics tracking systems.' Further specifies focus areas: 'measurement strategy, signal quality, and validation.' The clarification 'not just firing events' adds useful specificity about the skill's depth.

3 / 3

Completeness

Clearly answers both 'what' (design, audit, improve analytics tracking systems for reliable data) and 'when' (explicit 'Use when' clause covering setup, fixing, and evaluating analytics tracking with specific tool/concept triggers).

3 / 3

Trigger Term Quality

Excellent coverage of natural terms users would say: 'analytics tracking', 'GA4', 'GTM', 'product analytics', 'events', 'conversions', 'UTMs', 'set up', 'fix', 'evaluate'. These are terms users naturally use when discussing analytics implementation.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with a clear niche: analytics tracking systems specifically. The mention of GA4, GTM, UTMs, conversions, and the focus on 'measurement strategy, signal quality, and validation' clearly distinguishes it from general data analysis or web development skills.

3 / 3

Total

12

/

12

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
Dokhacgiakhoa/antigravity-ide
Reviewed

Table of Contents

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