What problem does it solve? Turning an exploratory conversation about a feature into a structured, actionable PRD is tedious and error-prone. This Skill synthesizes the current conversation context and codebase understanding into a complete PRD and publishes it directly to the project issue tracker, without re-interviewing the user. ## Core Features & Use Cases - Context Synthesis: Converts the existing conversation and codebase exploration into a structured PRD covering problem statement, solution, user stories, implementation decisions, testing decisions, and scope. - Test Seam Planning: Identifies the highest-level testing seams in the codebase, preferring existing seams, and confirms them with the user before writing. - Issue Tracker Publishing: Publishes the finished PRD to the project issue tracker and applies the ready-for-agent triage label so it can flow straight into an agent workflow. - Use Case: After discussing a new billing feature with the AI, ask it to produce a PRD; it explores the repo, proposes test seams, writes the full PRD using the project's domain glossary, and files it as a triaged issue. ## Quick Start Ask the AI to turn the current conversation into a PRD and publish it to the project issue tracker.