Analytics

Use to analyze loyalty member behavior, segmentation, and experiment results.

Use to design and document customer segments with clear criteria, metrics, and governance.

Reference benchmarks for CAC, CPL, ROAS, and payback across channels and segments.

Use to link segments and insights to GTM plays, owners, and measurement plans.

Use when planning channel distribution and measuring video performance.

Use to design and maintain structured renewal/save motions across segments and risk levels.

Layout and storytelling guide for marketing analytics executive dashboards.

Use when establishing tests, monitoring, and incident response for analytics models.

Use when designing filters, suppression logic, and personalization cohorts for campaigns or automations.

Template for packaging revenue analytics into concise exec/board narratives.

Use when defining events, fields, and governance for GTM analytics pipelines.

Measurement system tracking engagement, health, and business impact of community programs.

Query and analyze Claude Code history joined with Git data using SQL. Use when user asks about their Claude conversations, productivity patterns, commit history correlation, session analytics, or wants to explore their coding history with SQL queries.

Systematic market analysis skill for understanding market size, segmentation, trends, and opportunities. Produces quantified market intelligence.

Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow

Gate 1: Business requirements document - defines WHAT/WHY before HOW. Creates PRD with problem definition, user stories, success metrics.

Implement Zero Trust security model with identity verification, microsegmentation, least privilege access, and continuous monitoring. Use when building secure cloud-native applications.

Configure network security groups and firewall rules to control inbound/outbound traffic and implement network segmentation.

Portfolio analytics including Value at Risk (VaR), Conditional VaR, Sharpe ratio, volatility, and return calculations. Use when analyzing investment performance, measuring portfolio risk exposure, computing expected returns, calculating correlation matrices, or optimizing asset allocation. Implements both parametric and historical risk models.

Analyze supply chain performance and identify optimization opportunities. Use this skill when measuring supply chain KPIs, performing cost analysis, evaluating network efficiency, or generating insights from logistics data.