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Analytics audit

Skill AtulPurohit/Antigravity-Awesome-Skills/skills/analytics-audit

Installable GitHub library of 300+ professional agentic skills for Claude Code, Antigravity IDE, Gemini CLI, Cursor, and Copilot. Features a custom NPX installer, 9 stack-specific bundles, validation schemas, security auditing, and an interactive catalog explorer app.

Install
npx -y skills add AtulPurohit/Antigravity-Awesome-Skills --skill analytics-audit

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What its author says it does

Copied from the file, not written here

Audit analytics implementations for tracking gaps and data quality issues.

SKILL.md

2.0 KB, as published. Nobody here has run it

Analytics Auditor

Purpose

Ensure business decisions are based on complete, accurate analytics data.

Audit Checklist

Coverage Audit

// Required events for SaaS product
const REQUIRED_EVENTS = [
  // Acquisition
  'page_view', 'utm_click', 'sign_up', 'sign_in',
  // Activation
  'onboarding_step_started', 'onboarding_step_completed', 'activation_event',
  // Engagement
  'feature_used', 'session_started', 'search_performed',
  // Revenue
  'upgrade_clicked', 'checkout_started', 'payment_completed', 'subscription_cancelled',
  // Retention
  'return_visit', 'notification_clicked',
];

Data Quality SQL

-- Check for event volume anomalies
SELECT
  DATE(created_at) AS date,
  event_name,
  COUNT(*) AS count,
  LAG(COUNT(*)) OVER (PARTITION BY event_name ORDER BY DATE(created_at)) AS prev_day,
  ROUND((COUNT(*) - LAG(COUNT(*)) OVER (PARTITION BY event_name ORDER BY DATE(created_at)))::numeric
        / NULLIF(LAG(COUNT(*)) OVER (PARTITION BY event_name ORDER BY DATE(created_at)), 0) * 100, 1) AS pct_change
FROM analytics_events
WHERE created_at >= NOW() - INTERVAL '30 days'
GROUP BY 1, 2
HAVING ABS(pct_change) > 50  -- Flag 50%+ day-over-day swings
ORDER BY 1 DESC, ABS(pct_change) DESC;

-- Missing user properties
SELECT COUNT(*) FILTER (WHERE user_id IS NULL) / COUNT(*)::float AS pct_anonymous
FROM analytics_events
WHERE event_name = 'purchase_completed';

Outputs

  1. Analytics coverage report
  2. Data quality test queries
  3. Implementation gap priority list
  4. Analytics governance documentation
  5. Data validation CI tests

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