Create PRD from Idea

Runs a structured clarifying interview for new project requests before building, then outputs a fully specified prompt.md for a fresh agent session to execute.

Transforms a raw product idea into four planning files: clarifying questions, deep research, a PRD with non-goals and metrics, and a phased execution plan with kill criteria.

Generate comprehensive Product Requirements Documents (PRDs) for software systems and AI-powered features, including executive summaries, user stories, technical specifications, and risk analysis.

Creates a detailed, phased implementation plan with documentation discovery and subagent-based fact gathering.

Structures product requirements into a single-page spec with problem, success metrics, scope, user stories, design notes, and rollout plan.

Translate a vague request or GitHub issue into a concrete, testable spec using five structured elements (problem, scope, acceptance criteria, edge cases, success criterion) before writing any code. Prevents scope creep, PR churn, and mid-implementation pivots.

Guides users through a structured interview to clarify their AI agent idea and produces an Agent Requirement Document (ARD).

Generates an IEEE 830 Software Requirements Specification from raw client input through structured brainstorming, gap analysis, and clarification rounds.

Transforms a rough idea into a detailed design document with an implementation plan through iterative requirements clarification, research, design, and planning.

Generates a structured Product Requirements Document (PRD) for a new feature, including clarifying questions, user stories, functional requirements, and success metrics.

Synthesizes the current conversation and codebase context into a structured PRD and publishes it to the project issue tracker with a triage label.