Parse PRD Markdown documents into semantic structures and dependency graphs.
npx skills add https://github.com/fabioeloi/omni-architect --skill prd-parser
Please help me install this Agent Skill. Skill: PRD Parser Source: https://github.com/fabioeloi/omni-architect/tree/main/skills/prd-parse Command: npx skills add https://github.com/fabioeloi/omni-architect --skill prd-parser
Este Skill extrai a estrutura semântica de um PRD em Markdown, identificando features, user stories, entidades de domínio, fluxos de negócio e critérios de aceite. É uma sub-habilidade do pipeline Omni Architect (Phase 1).
Forneça o PRD completo em Markdown como prd_content e rode o PRD Parser para retornar o parsed_prd e o completeness_score.
High-intent search queries and answers about installing and using this skill.
To extract user stories and features from a PRD, the parser tokenizes Markdown headings and applies semantic classification to identify structures like features, domain entities, business flows, and acceptance criteria, outputting a structured representation.
Semantic parsing of product requirement documents involves categorizing text sections by headings, applying named entity recognition to map domain entities, and generating dependency graphs to validate consistency across business flows.
Yes, you can map domain entities and dependencies in a product requirement document by using named entity recognition to identify domain elements and building relationship graphs to connect features with business flows.
You evaluate the completeness of a product requirement document by parsing its Markdown input to generate a completeness score, which assesses the presence and consistency of extracted features, user stories, and flows.
The parser requires a standard Markdown document structured with headings like H1, H2, and H3 to properly tokenize sections and semantically classify content such as acceptance criteria and domain entities.
phucle297Compress markdown and text files into a compact caveman format.
ezagent42Extract modules, user stories, NFRs, constraints, and dependencies from a PRD into YAML.
tanujsutariaOrchestrate feature architecture planning using task dependency graphs.
TzeusyExtract structured relationship data from unstructured text messages.
