Build data-driven features with integrated pipelines and ML capabilities using specialized agents:
/plugin marketplace add dotclaude/marketplace/plugin install dev-accelerator@dotclaude-pluginsclaude-opus-4-1workflows/Build data-driven features with integrated pipelines and ML capabilities using specialized agents: [Extended thinking: This workflow orchestrates data scientists, data engineers, backend architects, and AI engineers to build features that leverage data pipelines, analytics, and machine learning. Each agent contributes their expertise to create a complete data-driven solution.] ## Phase 1: Data Analysis and Design ### 1. Data Requirements Analysis - Use Task tool with subagent_type="data-scientist" - Prompt: "Analyze data requirements for: $ARGUMENTS. Identify data sources, required trans...
/data-driven-featureBuild features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.