feature-analyzer

To analyze feature artifacts for readiness, run the prerequisites check script against your feature directory to verify coverage of spec.md, ux.md, plan.md, and tasks.md, outputting a structured JSON readiness summary.

Feature context is a unified mental model built by loading and verifying feature documents like data-model.md and contracts. It ensures alignment across requirements and architecture, forming the baseline for downstream checklist generation and task planning.

You can verify feature prerequisites using jq to parse the JSON readiness summary output by the check-prerequisites script, which identifies AVAILABLE and MISSING documents within the target feature directory.

Yes, you can use feature-analyzer to prepare context for task planning and checklists by loading core documents such as research.md and setup.md to enforce artifact coverage and output a structured readiness summary.

The best way to load feature documents for architecture queries is to execute the prerequisites check script, which scans the feature directory and consolidates spec.md, plan.md, and contracts into a unified readiness summary.

If required feature artifacts are missing, the prerequisites check script flags them as MISSING in its JSON readiness output, explicitly enforcing artifact coverage so you can resolve gaps before proceeding with implementation.