What problem does it solve?
Research goals often take too long to investigate deeply and consistently, especially when you need broad coverage, cross-validation, and a synthesized report.
Core Features & Use Cases
- Parallel scientist workflow: Decomposes a research goal into multiple independent stages and runs them concurrently to speed up discovery.
- Verification loop: Cross-validates stage outputs to detect contradictions, coverage gaps, and missing connections before reporting.
- AUTO mode session orchestration: Enables autonomous iterative execution with explicit promise tags, session state persistence, resume, and cancellation.
- Evidence- and confidence-structured outputs: Encourages reproducible findings using tagged evidence blocks, confidence levels, and cited file context.
- Report generation: Produces a consolidated research report template including methodology, key findings, limitations, and recommendations.
Quick Start
Run: /oh-my-claudecode:research AUTO: Analyze authentication patterns in this codebase.