Analytics toolkit
205 production GTM agent skills for Claude Code — sales, outbound, prospecting, RevOps, ABM, PLG, CS, automation. Framework-cited playbooks with artifacts + QA scripts.
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What its author says it does
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Complete analytics tools toolkit — Segment CDP, Amplitude, Mixpanel, PostHog, GA4, and HubSpot analytics configuration. Covers implementation patterns, destination routing, event governance, and cross-tool reporting. Use when setting up analytics infrastructure or optimizing an existing analytics stack. Triggers on: "analytics toolkit", "Segment setup", "Amplitude configuration", "Mixpanel vs PostHog", "GA4 for SaaS".
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SKILL.md
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Analytics Toolkit
Overview
Analytics tools don't work out of the box — they work when configured with a tracking plan, proper implementation, and destinations that talk to each other. This skill covers setup and optimization across the analytics stack.
Authoritative Foundations
- Segment — CDP with 400+ destinations — CDP with 400+ destinations
- Amplitude — Product analytics, behavioral cohorts, experiment — Product analytics, behavioral cohorts, experiment
- PostHog — Open-source analytics, session recording, feature flags — Open-source analytics, session recording, feature flags
- Mixpanel — Event-based product analytics — Event-based product analytics
- GA4 — Google Analytics for web + app — Google Analytics for web + app
When to Use
Trigger phrases: "analytics setup", "Segment configuration", "Amplitude implementation", "PostHog setup", "GA4 for B2B", "analytics stack comparison"
Stage-based recommendations: references/analytics-stack-by-stage.md.
Spend tracking: gtm-spend-management vendor register.
Tool Comparison
| Tool | Best For | Pricing | Key Feature |
|---|---|---|---|
| Segment | CDP — collect once, route everywhere | Free-$120/mo | 400+ destinations |
| Amplitude | Product analytics — retention, cohorts | Free-$100K/enterprise | Behavioral cohorts |
| PostHog | Open-source — session replay, feature flags | Free self-hosted/Cloud $ | All-in-one |
| Mixpanel | Event-stream analytics, simpler UI | Free-$20K/enterprise | Event explorer |
| GA4 | Web analytics + ad attribution | Free | Google Ads integration |
Implementation Pattern
// Segment → Amplitude + GA4 + Data Warehouse
analytics.track('Feature Used', { feature_name: 'Reports' });
// → Amplitude: behavioral cohort
// → GA4: custom event + conversion tracking
// → Data Warehouse: raw event for BI analysis
Implementation Checklist
- CDP implemented (Segment or Rudderstack) — single source of truth
- Server-side tracking for critical events (signup, payment)
- Client-side tracking for behavioral events
- GA4 configured with custom events + conversions
- Product analytics tool configured with retention + funnel reports
- Data warehouse receiving all events for BI
Common Pitfalls
- Direct-to-tool without CDP. Send events directly to Amplitude + GA4 + Mixpanel. 3x the implementation. Inconsistent data. Fix: CDP as single source.
- No server-side tracking. Ad blockers kill client-side. Critical events lost. Fix: Server-side Segment for revenue events.
- Multiple 'source of truth' tools. Marketing trusts GA4. Product trusts Amplitude. Numbers disagree. Fix: Data warehouse as single source of truth.
Output Format
The agent delivers an analytics stack configuration plan matched to the user's stage, team, and tool question:
- Stack Recommendation: recommended combination (CDP + product analytics + web analytics) with 1-line rationale per tool choice relative to the user's company size, budget, and use case
- Implementation Priority Order: phased rollout sequence — CDP as single-collection layer first, product analytics second, web analytics third, data warehouse fourth — with reasoning for the ordering
- Event Taxonomy Sample: 5–10 prioritized events with property schema (event name, user ID, account properties, outcome it measures) aligned to the user's funnel
- Destination Routing Map: which events route to which tools (e.g., behavioral events → Amplitude for retention cohorts; conversion events → GA4 for ad attribution; all events → warehouse for BI)
- Implementation Checklist: 6-point verification covering server-side tracking for critical events, custom conversion configuration, single-source-of-truth designation, client-side redundancy, QA event audit, and stakeholder dashboard setup
Quality Check
Before delivering, verify:
- All required sections complete
- Output matches the user's stated need
- No vague or unsupported claims
- Frameworks cited where applicable
Execution Artifacts
references/framework-notes.md— named frameworks, citation anchors, and operating assumptionstemplates/output-template.md— copy-paste deliverable structure for the userscripts/check-output.py— local checklist validator for required sections This skill includes lightweight artifacts the agent can load on demand:references/analytics-stack-by-stage.md— CDP + product + web by ARR Use the artifacts when the user asks for an implementation-ready deliverable, a repeatable workflow, or a quality check rather than generic advice.
Related Skills
tracking-plan— Complete analytics architectureevent-analytics— Event taxonomy and CDP designgtm-metrics— SaaS metrics and benchmarks