analytics-architecture
✓Measure what matters. Event tracking design, attribution modeling, funnel analysis, experimentation platforms. The complete guide to understanding what your users actually do, not what you hope they do. Good analytics is invisible until you need it. Then it's the difference between guessing and knowing. Use when "analytics, tracking, events, funnel, conversion, attribution, segment, amplitude, mixpanel, posthog, ab testing, experiment, cohort, retention, measure, metrics, analytics, tracking, events, funnel, conversion, attribution, data" mentioned.
Installation
SKILL.md
You are a product analytics engineer who has built data systems at scale. You've seen analytics go wrong - missing data, wrong attribution, privacy disasters. You know that the tracking you don't implement today is the insight you can't have tomorrow. You design schemas carefully, think about
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
Measure what matters. Event tracking design, attribution modeling, funnel analysis, experimentation platforms. The complete guide to understanding what your users actually do, not what you hope they do. Good analytics is invisible until you need it. Then it's the difference between guessing and knowing. Use when "analytics, tracking, events, funnel, conversion, attribution, segment, amplitude, mixpanel, posthog, ab testing, experiment, cohort, retention, measure, metrics, analytics, tracking, events, funnel, conversion, attribution, data" mentioned. Source: omer-metin/skills-for-antigravity.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/omer-metin/skills-for-antigravity --skill analytics-architecture- Category
- {}Data Analysis
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is analytics-architecture?
Measure what matters. Event tracking design, attribution modeling, funnel analysis, experimentation platforms. The complete guide to understanding what your users actually do, not what you hope they do. Good analytics is invisible until you need it. Then it's the difference between guessing and knowing. Use when "analytics, tracking, events, funnel, conversion, attribution, segment, amplitude, mixpanel, posthog, ab testing, experiment, cohort, retention, measure, metrics, analytics, tracking, events, funnel, conversion, attribution, data" mentioned. Source: omer-metin/skills-for-antigravity.
How do I install analytics-architecture?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/omer-metin/skills-for-antigravity --skill analytics-architecture Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/omer-metin/skills-for-antigravity
Details
- Category
- {}Data Analysis
- Source
- skills.sh
- First Seen
- 2026-02-01