What problem does it solve?
This Skill helps you eliminate ambiguity and structural mistakes when authoring or troubleshooting an astra.yaml specification for an ASTRA analysis.
Core Features & Use Cases
- Schema clarity for structured research: Defines the complete astra.yaml structure, including inputs, outputs, decisions, prior_insights, findings, evidence, and narrative anchors.
- Decision and option mechanics: Explains how to model methodological choices as parameterized decisions with constrained options.
- Provenance- and evidence-driven validation: Covers evidence linking rules (DOI quote requirements, artifact references) and validation workflows so your spec is execution-ready.
- Sub-analysis composition and universes: Documents inline/external sub-analyses, from-path wiring, and universe selection for loading option sets.
Quick Start
Ask an AI assistant to review your astra.yaml against the ASTRA reference and point out what is mis-specified, missing, or invalid.