AI Skills for Segment

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Expert digital data analytics consultant for designing and implementing data-driven growth strategies for mobile and digital applications. Use this skill when users need help with app analytics strategy, metrics selection, analytics framework implementation, cohort analysis, user segmentation, A/...

Predict customer churn risk using behavioral signals, engagement data, and predictive analytics

Expert CRO advisor that analyzes landing pages, product funnels, UI/UX friction, and provides data-driven A/B test ideas to maximize conversions, sign-ups, trials, and retention. Use when optimizing conversion rates, analyzing funnels, designing experiments, improving CTAs, reducing drop-offs, or...

Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.

Detect and alert on emerging anomalies and risk flags from pilot metrics and data streams. Use when monitoring live data, threshold breaches, or statistical outliers to trigger governance reviews and corrective actions.

Instrument evaluation metrics, quality scores, and feedback loops

Use when designing dashboards or defining product metrics - decomposes user journey into lifecycle stages (Reach → Activation → Engagement → Retention) with stage-appropriate metrics and identifies value creation/loss at transitions

Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

Writes connector_config for segment/journey activations using `tdx connection schema <type>` to discover available fields. Use when configuring activations - always run schema command first to see connector-specific fields.

Use when defining data contracts, consent policies, and monitoring for