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Analytics instrumentation review

Skill jukrap/ai-agent-playbook/skills/data/analytics-instrumentation-review

Reusable AI agent skills, project templates, and guardrails for safer software maintenance and delivery.

Install
npx -y skills add jukrap/ai-agent-playbook --skill analytics-instrumentation-review

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One thing to look at

  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Use when reviewing tracking plans, event schemas, analytics instrumentation, funnels, cohorts, experiments, attribution, consent, or downstream metric impact.

SKILL.md

1.2 KB, as published. Nobody here has run it

Analytics Instrumentation Review

Use this as the primary data skill for event tracking, analytics instrumentation, funnels, cohorts, and experiments.

Workflow

  1. Identify business question, event owner, user/account/session grain, event names, properties, identity stitching, and downstream metrics.
  2. Check client/server event boundary, retry/dedup behavior, consent/privacy rules, sampling, attribution, offline/mobile behavior, and dashboard consumers.
  3. Separate instrumentation correctness from UI state, backend connector, and reporting presentation concerns.
  4. Verify with tracking plan, sample payloads, event tests, route/API hints, dashboard impact, and experiment assignment checks when possible.

Reference

Read references/event-tracking-plan.md for event naming, property, identity, consent, and payload checks.

Read references/funnel-cohort-experiment-checks.md for funnel, cohort, experiment, attribution, and downstream metric checks.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.