Validate PDD structure against 11 sections and archetype enums.
npx skills add https://github.com/dimagi-internal/ace --skill idea-to-pdd-qa
Please help me install this Agent Skill. Skill: idea-to-pdd-qa Source: https://github.com/dimagi-internal/ace/tree/main/skills/idea-to-pdd-qa Command: npx skills add https://github.com/dimagi-internal/ace --skill idea-to-pdd-qa
This Skill solves the problem of incomplete or malformed Product Design Document (PDD) artifacts produced by the idea-to-pdd skill, which would otherwise block downstream quality evaluation, waste development time, and delay Connect opportunity deployment.
Use the idea-to-pdd-qa skill to run structural validation on the PDD artifact generated for your current Connect opportunity and return a binary pass/fail verdict with auto-fix hints for any failures.
High-intent search queries and answers about installing and using this skill.
You can validate a Product Design Document by running structural QA checks that verify all required sections, correct archetype declarations, and necessary appendices are present before the document enters downstream evaluation.
PDD validation in the ACE lifecycle requires six static checks covering 11 required sections, valid archetype enum values, stress test appendix presence, populated success metrics tables, layered evidence model references, and reviewer comment disposition tables.
Yes, you can run deterministic static checks on a PDD without a large language model. These structural validations execute in under 100ms, making them lightweight enough for automated workflows and CI/CD pipelines.
To catch missing sections and malformed declarations in a generated PDD, apply binary structural quality assurance that returns a pass/fail verdict with auto-fix hints, enabling automated remediation of the detected errors.
Yes, PDD structural validation returns structured QA results with auto-fix hints for failed checks. This enables automated remediation of formatting errors, missing sections, and invalid archetype values.
You should use a quality gate for product design documents when a design team generates a new PDD for a Connect opportunity, ensuring invalid artifacts are caught before they block quality evaluation or delay deployment.
dimagi-internalGrades PDD-to-app journey documents with a 7-dimension LLM-as-Judge rubric for CommCare deployability.
dimagi-internalScore published solicitations against their source Project Design Document across weighted dimensions.
quiznatEnforce a pre-commit pipeline with security scans, quality gates, and auto-fix.
gaiastudio-aiAutomate iOS and Android app reviews with validators and semantic analysis.
