Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryProduct & designStars0
About this skill
Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).
Quick start
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Define observable, governed evidence for product outcomes through metric trees, event/tracking plans, instrumentation QA, and measurement governance. Use when defining product metrics, designing tracking plans, building event taxonomies, running product funnels or cohort analysis, setting up dashboard contracts, or auditing instrumentation quality. Do NOT use for statistical inference or experiment design (route to data-scientist), data pipeline implementation (route to data-engineering), data architecture decisions (route to data-architect), observability or infrastructure monitoring (route to site-reliability-engineering), or general business intelligence and dashboard building (route to BI tooling).
About this listing
Category
Product & design
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.