Convert Markdown PRDs into structured prd.json files for agent systems.
npx skills add https://github.com/LumaKernel/formal-logic-pad --skill ralph-lumakernel
Please help me install this Agent Skill. Skill: ralph Source: https://github.com/LumaKernel/formal-logic-pad/tree/main/.claude/skills/ralph Command: npx skills add https://github.com/LumaKernel/formal-logic-pad --skill ralph-lumakernel
This Skill automates the conversion of Product Requirement Documents (PRDs) into a structured prd.json format, enabling autonomous agent systems like Ralph to process and act upon them efficiently.
prd.json file that Ralph can use to generate code, tests, and documentation, ensuring adherence to architectural principles and test coverage.Use the ralph skill to convert the attached document 'feature_spec.md' into ralph format.
High-intent search queries and answers about installing and using this skill.
To convert a PRD to JSON for autonomous agents, you parse Markdown requirement documents to generate structured user stories, branch names, and acceptance criteria. This enforces test-driven development and code separation principles for agent execution.
The best way to structure user stories from a Markdown feature spec is to iteratively size them with clear priorities and branching strategies. This ensures autonomous agents can process the generated JSON while adhering to formatting and architectural guidelines.
Yes, you can use this PRD to JSON conversion tool for test-driven development workflows. It enforces TDD principles, pure and impure code separation, and iterative story sizing within the generated output for autonomous agent systems.
Markdown PRD parsing handles branch naming by extracting requirements and defining specific branch names directly within the structured JSON output. This ensures autonomous agents follow correct version control and formatting guidelines during execution.
A limitation of automating PRD conversion into structured JSON is that it requires detailed Markdown documents with clear requirements to function correctly. Without properly structured input PRDs, the generated user stories and acceptance criteria may lack necessary context for agent execution.
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