Instrument product analytics with event taxonomy, consent gating, and funnel validation.
npx skills add https://github.com/arbazkhan971/godmode --skill analytics-arbazkhan971
Please help me install this Agent Skill. Skill: analytics Source: https://github.com/arbazkhan971/godmode/tree/main/skills/analytics Command: npx skills add https://github.com/arbazkhan971/godmode --skill analytics-arbazkhan971
Many products lack a consistent, privacy-compliant analytics implementation, leading to fragmented event definitions, unreliable funnels, and unsafe handling of PII; this Skill centralizes taxonomy-first analytics design, instrumentation, and validation so teams can measure features and experiments reliably and safely.
Use the analytics skill to design an event taxonomy and implement consent-gated Segment tracking for the signup funnel.
High-intent search queries and answers about installing and using this skill.
Privacy-first product analytics requires a unified AnalyticsProvider interface with consent gating to ensure no event tracking occurs before user consent. This Skill centralizes taxonomy design and implements automated validation checks to enforce PII-free event schemas across web, mobile, and server-side projects.
Designing an event taxonomy for conversion funnels and A/B testing involves creating consistent event names and properties before instrumentation. This Skill models events, users, and sessions for warehousing and wires A/B test assignments to measure experiment outcomes reliably.
Yes, you can configure Segment, Mixpanel, Amplitude, PostHog, Plausible, or Umami SDKs through a unified AnalyticsProvider. This abstraction exposes track, identify, and page methods to decouple your instrumentation logic from the specific vendor choice.
The best way to prevent PII leaks in event tracking is running automated PII audits alongside consent gating. This Skill implements user deletion endpoints and automated validation checks to ensure no personally identifiable information enters your event schemas.
Validating analytics instrumentation requires staged rollout with debug validation and automatic rollback on regressions. This Skill performs funnel correctness checks and automated validation to ensure your event tracking captures user behavior accurately before full deployment.
Yes, this analytics instrumentation applies to web, mobile, and server-side projects. It captures platform-specific privacy requirements during strategy discovery and implements a unified AnalyticsProvider interface to standardize event tracking across all environments.
nesihaver-ILClarify goals and analyze codebases before implementation.
CODE-SAURABHVerify production deployments and canary releases for health and performance regressions.
BoraPerusicGuide data-driven feature development with A/B testing and continuous measurement.
JNZader-VaultTrack analytics events across GA4, Mixpanel, Amplitude, and Segment in Spring Boot.
