Data & Analytics for Claude Code

Build features guided by data insights, A/B testing, and continuous measurement

Data Pipeline Architecture

Create detailed 3-5 year financial model with revenue, costs, cash flow, and scenarios

Generate comprehensive market opportunity analysis with TAM/SAM/SOM calculations

Migration monitoring, CDC, and observability infrastructure

>- List and compare RunAPI models by modality, service, or action.

Orchestration Archive Command

Explore multiple business timeline scenarios with comprehensive risk analysis and strategic optimization

Model system constraints with validation, dependency mapping, and optimization strategies

Explore complex decision branches with probability analysis, expected value calculation, and optimization

Design optimized database schemas with proper relationships, constraints, and performance considerations

Create calibrated digital twins with real-world validation, scenario testing, and decision optimization

Generate comprehensive future scenarios with plausibility scoring, trend integration, and strategic implications

Use PROACTIVELY to implement game analytics systems with player behavior tracking, performance monitoring, and business intelligence integration

Google Workspace Admin SDK: Audit logs and usage reports.

Google Sheets: Read and write spreadsheets.

Google Sheets: Read values from a spreadsheet.

Model comprehensive market and customer responses with segment analysis, behavioral prediction, and optimization

Track and analyze project milestone progress with predictive analytics

Run Monte Carlo simulations with probability distributions, confidence intervals, and statistical analysis

Optimize database queries, indexing, and performance for improved response times and scalability

Retrieve and review responses from a Google Form.

Read data from two tabs in a Google Sheet to compare and identify differences.

Calibrate simulation accuracy with systematic validation, bias detection, and continuous improvement

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

Explore and analyze Supabase database data with intelligent querying and visualization

Optimize Supabase database performance with intelligent analysis and recommendations

Monitor and optimize Supabase realtime connections with performance analysis and debugging

Model complex system dynamics with feedback loops, delays, and emergent behavior analysis

Track and analyze team velocity with predictive forecasting and performance optimization recommendations

Multi-framework structured analysis: surfaces hidden assumptions, generates competing solutions, stress-tests each with adversarial reasoning, and delivers confidence-calibrated recommendations

Perform cohort analysis on user data — retention curves, feature adoption, and engagement trends

Analyze user feedback at scale — sentiment analysis, theme extraction, and segment-level insights

Analyze A/B test results — statistical significance, sample size validation, and ship/extend/stop recommendations

Analyze the competitive landscape — identify competitors, compare strengths and weaknesses, find differentiation opportunities

Define your North Star Metric and supporting input metrics — classify the business game and validate against best practices

Comprehensive user research — build personas, segment users, and map the customer journey from research data

Design a product metrics dashboard with North Star metric, input metrics, health metrics, and alert thresholds

Generate SQL queries from natural language — supports BigQuery, PostgreSQL, MySQL, and more