research-coordinator

What problem does it solve?

The Research Coordinator solves the problem of guiding researchers through an end-to-end qualitative study by orchestrating literature review, data analysis, and manuscript writing within a single, coherent workflow that preserves state and accountability.

Core Features & Use Cases

• Meta-orchestration: Drives the full research lifecycle, coordinating literature synthesis, data analysis, and writing tasks.
• State management: Maintains project state, phase progress, and iteration history to ensure coherence across nonlinear workflows.
• Phase routing & escalation: Routes to specialized sub-skills (lit-search, interview-analyst, interview-writeup, etc.) and handles iterative feedback loops.
• Non-linear navigation: Supports jumping between phases, revisiting earlier work, and tracking downstream dependencies.
• Verification & revision: Logs iterations, marks stale outputs, and coordinates revision cycles to preserve argument integrity.
• Quick-start guidance: Provides an entry path (/research-coordinator) to initialize or resume a project quickly.

Quick Start

Start the research workflow by invoking the coordinator: /research-coordinator. Provide your project context and let the system scaffold the project, route tasks, and begin iterating through literature, analysis, and writing phases.