What problem does it solve?
It helps you turn a raw research question into a complete, structured ASTRA specification without starting from scratch or guessing how to organize inputs, outputs, and decisions.
Core Features & Use Cases
- Interactive scoping into astra.yaml: Collects and refines your research question, then writes the evolving specification into astra.yaml so you can see progress as the project takes shape.
- Structured analysis design: Transforms “what are we trying to do?” into a concrete analysis structure with clearly separated single-purpose outputs.
- Evidence-informed decision creation: Guides a literature deep dive, delegates PDF extraction to lc-extractor agents, and then identifies and reviews candidate decisions with evidence links.
Quick Start
Tell the AI to start a new analysis scope from your research question by saying: “/lc-new: Scope a new ASTRA analysis for my research question and build the astra.yaml spec.”