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Analytics toolkit

Skill LeadMagic/gtm-skills/skills/tools/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.

Install
npx -y skills add LeadMagic/gtm-skills --skill analytics-toolkit

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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".

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

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

ToolBest ForPricingKey Feature
SegmentCDP — collect once, route everywhereFree-$120/mo400+ destinations
AmplitudeProduct analytics — retention, cohortsFree-$100K/enterpriseBehavioral cohorts
PostHogOpen-source — session replay, feature flagsFree self-hosted/Cloud $All-in-one
MixpanelEvent-stream analytics, simpler UIFree-$20K/enterpriseEvent explorer
GA4Web analytics + ad attributionFreeGoogle 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

  1. Direct-to-tool without CDP. Send events directly to Amplitude + GA4 + Mixpanel. 3x the implementation. Inconsistent data. Fix: CDP as single source.
  2. No server-side tracking. Ad blockers kill client-side. Critical events lost. Fix: Server-side Segment for revenue events.
  3. 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 assumptions
  • templates/output-template.md — copy-paste deliverable structure for the user
  • scripts/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 architecture
  • event-analytics — Event taxonomy and CDP design
  • gtm-metrics — SaaS metrics and benchmarks

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.