greenfield

Generate a multi-perspective project plan with PLAN.md for greenfield repositories.

165|20|Updated Feb 2, 2026
One-click install
npx skills add https://github.com/wednesday-solutions/ai-agent-skills --skill greenfield-wednesday-solutions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: greenfield
Source: https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield
Command: npx skills add https://github.com/wednesday-solutions/ai-agent-skills --skill greenfield-wednesday-solutions

SYSTEM DOCUMENTATION & REQUIREMENTS

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).

Frequently Asked Questions about greenfield

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a project plan for a new greenfield repository?

Greenfield project planning generates a comprehensive PLAN.md by coordinating research, architecture, product management, and security perspectives. It processes BRIEF.md, asks clarifying questions, and synthesizes domain context, phased execution, and threat modeling into an aligned GSD-style execution plan.

What is parallel persona synthesis for product roadmap planning?

Persona synthesis for product roadmap planning runs a Research phase first, then spawns Architect, Product Manager, and Security subagents in parallel. This multi-perspective approach covers design, delivery, and risk from day one to reduce early-stage uncertainty.

How do I align architecture, product, and security decisions during early-stage project planning?

Aligning architecture, product, and security decisions requires synthesizing parallel expert outputs into a single execution plan. The process combines domain research, architecture design, product delivery phases, and threat modeling into PLAN.md, explicitly surfacing unresolved Tensions between disciplines.

Does greenfield project planning work without an existing BRIEF.md file?

Greenfield project planning requires BRIEF.md from the project root as input. If the file is absent, the system uses fail-soft behavior to prompt you to provide a brief interactively before generating research, persona outputs, and the final execution plan.

Can I reuse the architecture and security outputs for other agent workflows?

The architecture, product, and security outputs are fully reusable. The process writes architect.md, pm.md, security.md, research.md, and PLAN.md directly into the .wednesday/plans/ directory, providing structured output files for immediate consumption by other tooling.

What limitations should I expect when planning threat modeling for a greenfield project?

Threat modeling for greenfield projects depends entirely on the domain context provided in BRIEF.md. If the initial brief lacks detail on integration points or compliance context, the fail-soft behavior triggers clarifying questions, which may slow down the generation of the final security.md and PLAN.md outputs.