What problem does it solve?
Greenfield planning turns an empty repository into an actionable, multi-perspective roadmap by reducing uncertainty and aligning Architecture, Product, and Security decisions early.
Core Features & Use Cases
- Parallel persona planning: Runs Research first, then spawns Architect, PM, and Security subagents in parallel to cover design, delivery, and risk from day one.
- Research-backed domain context: Produces research.md with domain landscape, ecosystem choices, integration points, compliance context, and hidden complexity.
- Synthesis into a single execution plan: Combines all outputs into PLAN.md including Tensions (unresolved disagreements), phases with acceptance criteria, success metrics, and GIT-OS branch naming.
- Output structure for agent workflows: Writes architect.md, pm.md, security.md, and PLAN.md into .wednesday/plans/ for immediate reuse by other tooling.
Quick Start
Run an initial plan by instructing your AI agent to execute ws-skills plan for your greenfield repository, using BRIEF.md from the project root (or providing a brief if prompted).