toge:prd-gap-analyzer

To generate UX screen specs from a PRD, use Python to analyze markdown documents and map functional requirements. This process extracts actors, screen inventory, states, and flow to output a structured artifact for prototyping.

Yes, you can analyze a markdown PRD to check for user journeys, friction points, and functional requirement mappability. It validates classification fields and observable success criteria to ensure design readiness.

Yes, PRD analysis works with BMAD's 11-section format and other markdown documents. It processes the structured markdown using Python and regex to parse sections and validate design components.

The best way to translate a PRD into screen inventory is to automate extraction using Python. This evaluates functional requirements and outputs a structured UX screen spec detailing actors, states, and open design decisions.

Run pre-handoff QA checks by evaluating the generated screen spec for visual consistency, token compliance, accessibility, and interaction readiness. This ensures the UX design artifact meets validation standards before prototyping.

Yes, you need Python, YAML, markdown, and regex dependencies to generate screen specs. These components process the PRD text, parse structural formatting, and output the structured UX design artifact.