Product Analytics Setup
Skill Verified ActiveHow to actually instrument product analytics correctly. Event taxonomy, property design, naming conventions, schema versioning, identity stitching, funnel design, retention cohorts, North Star metric selection, dashboard hygiene, instrumentation debt, and the failure modes that produce data nobody trusts. Triggers on product analytics setup, event taxonomy, tracking plan, instrumentation, schema versioning, North Star metric, retention cohorts, funnel design, naming conventions, instrument new feature, audit existing analytics, dashboard reconciliation, instrumentation debt, Mixpanel setup, Amplitude setup, PostHog setup, warehouse-native analytics. Also triggers when the team has data but cannot trust it, or when designing instrumentation for a new feature, or when auditing an existing setup that has drifted.
To guide users in setting up and maintaining accurate, trustworthy product analytics instrumentation that supports strategic decision-making.
Features
- Detailed guidance on event taxonomy design and naming conventions
- Best practices for property design (event-level vs user-level) and type discipline
- Frameworks for schema versioning and migration patterns
- Templates and rules for designing effective funnels and cohort definitions
- Guidance on North Star metric selection and supporting metrics
- Principles for dashboard hygiene and managing instrumentation debt
Use Cases
- Setting up product analytics instrumentation from scratch
- Auditing and improving an existing, untrustworthy analytics setup
- Designing instrumentation for new features
- Establishing and enforcing data quality standards for product analytics
Non-Goals
- Analytics strategy and measurement framework selection
- Experimentation result interpretation
- Paid media analytics or platform decisions
- Specific tool setup (Mixpanel, Amplitude, etc.) beyond general principles
Practices
- Data Quality
- Instrumentation Discipline
- Schema Management
Installation
npx skills add rampstackco/claude-skillsRuns the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.
Quality Score
VerifiedTrust Signals
Similar Extensions
Performance Analysis
100Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Cleanup Dashboards
100Audit and consolidate HubSpot reporting dashboards. Identifies unused, duplicate, or outdated dashboards. Must be performed manually — no dashboard API is available.
Status
100Display the current state of the FPF knowledge base
Pm Strategic Review
100End-of-quarter strategic review in narrative style with a bets scorecard. Use when someone says "quarter review", "strategic review", "what happened last quarter", "quarterly retro", "bets scorecard", "review our bets", "end of quarter report".
Ops Revenue
100Revenue and costs tracker. AWS spend via aws ce, credits tracker, project revenue stages. Shows burn rate, runway estimate, credits expiring.
Minimal Run And Audit
100Trusted-lane execution and reporting skill for README-first AI repo reproduction. Use when the task is specifically to capture or normalize evidence from the selected smoke test or documented inference or evaluation command and write standardized `repro_outputs/` files, including patch notes when repository files changed. Do not use for training execution, initial repo intake, generic environment setup, paper lookup, target selection, or end-to-end orchestration by itself.