What problem does it solve? LLM context compaction loses project state across sessions, making long-running autonomous coding unreliable. This Skill converts a PRD into a complete agent workspace where state lives in files (CLAUDE.md, task.json, progress.txt, git history) instead of conversation history, so each fresh Claude Code session can resume work without prior context. ## Core Features & Use Cases - Create Mode: Reads a PRD, detects the tech stack (Python, Node.js, Go, Java, Rust), and generates a full workspace including architecture.md, task.json with 5-15 ordered tasks, CLAUDE.md workflow rules, init.sh, automation scripts, and stub entry points. - Update Mode: Detects an existing agent workspace and incrementally merges new PRD requirements, appending tasks while preserving completed work. - Dual-platform automation: Generates both bash and PowerShell runner scripts that loop Claude Code sessions, plus a next-task.txt prompt for semi-auto execution. - Use Case: You have a product requirements document for a price-monitoring tool. The Skill scaffolds the entire project, then offers Manual, Semi-Auto, or Full-Auto execution modes so the AI completes tasks one per session over hours. ## Quick Start Ask the AI to deploy your PRD.md file as an automatic coding agent workspace and choose a development mode when prompted.