Create evidence-backed living PRDs with phased execution artifacts for software planning.
npx skills add https://github.com/golbin/agent-skills --skill prd-golbin
Please help me install this Agent Skill. Skill: prd Source: https://github.com/golbin/agent-skills/tree/main/skills/prd Command: npx skills add https://github.com/golbin/agent-skills --skill prd-golbin
It helps teams avoid vague or outdated specs by producing a compact, executable Product Requirements Document (PRD) that is continuously updated as implementation uncovers new information.
Ask an AI agent to run the prd skill to create an evidence-backed PRD and phase execution plan for the feature you want to implement, writing the resulting files under tasks/.
High-intent search queries and answers about installing and using this skill.
An evidence-backed product requirements document is generated by discovering existing system behavior through code, tests, and APIs, then translating intent into functional requirements with defined validation gates.
Phase-based execution planning structures work into ordered phases with checklists, discovery gates, validation strategies, and phase-end reviews to keep requirements continuously updated as implementation progresses.
You can maintain readability by using split-file context mode, which automatically links context and phase files under the tasks/ directory instead of bloating the master PRD.
Yes, updating a living PRD preserves prior checkboxes and edits, ensuring continuous tracking of implementation progress while incorporating newly discovered project context.
A risk-appropriate validation strategy should be applied during phase discovery gates to ensure functional and non-functional requirements meet the correct review criteria before proceeding.
It requires YAML frontmatter-driven identification and strict use of tasks/ markdown outputs, reviewing existing code, tests, docs, configs, and APIs to ground the requirements.
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