data-analyze

What problem does it solve?

Provides a guided, end-to-end workflow to perform rigorous data analysis from problem definition through modeling and validation, reducing ad-hoc decisions and ensuring reproducible, actionable results aligned with business goals.

Core Features & Use Cases

• Full-cycle orchestration: Executes Phase 0–8 including issue definition, EDA, cleaning, feature engineering, modeling, interpretation, validation, and report generation.
• SSOT-driven context: Loads analysis_context.md as the single source of truth to preserve context, hypotheses, and acceptance criteria across phases.
• Governance & safety checks: Enforces user approval checkpoints, sample size estimation, bias controls, and reproducibility best practices.
• Use Case: Turn raw project data and an analysis_context.md into an executive summary, technical report, and reproducible analysis scripts for stakeholder decision-making.

Quick Start

Use the data-analyze skill to run a full-cycle CRISP-DM analysis using the project's analysis_context.md and data directory, then produce executive and technical reports.