---
name: greenfield-1ecad27105a2
description: Parallel persona planning for new projects. Research agent runs first to build domain context, then Architect, PM, and Security agents run in parallel. Synthesis agent combines all perspectives into a detailed GSD-style PLAN.md with Tensions section.
license: MIT
metadata:
  author: wednesday-solutions
  version: "2.0"
---

# Greenfield Planning Skill

## Trigger

Run once per project: `ws-skills plan`

Reads `BRIEF.md` from the project root (or prompts for one). Asks 5 clarifying questions before planning.

## Flow

```
Brief + Q&A
    ↓
Research agent (sequential)   ← domain landscape, ecosystem, hidden complexity
    ↓
┌─────────────────────────────────────┐
│ Architect │ PM │ Security (parallel)│  ← spawn 3 subagents simultaneously
└─────────────────────────────────────┘
    ↓
Synthesis             ← combines all into PLAN.md
```

## Agents

### 1. Research (sequential — runs first)

Builds domain context that all other agents receive. Covers:
- Existing solutions and their weaknesses
- Standard and emerging tech stacks for this domain
- Technologies to avoid and why
- Non-obvious domain challenges
- Integration landscape (auth, payments, comms, etc.)
- Regulatory and compliance context
- Realistic timeline based on similar projects
- Hidden complexity — things that take 3x longer than expected
- Success patterns from the best products in this space

Output: `research.md`

### 2–4. Architect, PM, Security (parallel subagents)

Spawn all three simultaneously using the Agent tool. Each receives the full brief, Q&A, and research output as context.

```
Agent 1 — Architect
Agent 2 — PM           ← launch all three in a single message, do not wait
Agent 3 — Security
```

Wait for all three to complete before running Synthesis.

**Architect** output: `architect.md`
- System design overview
- Tech stack with rationale per layer
- Module boundaries and interfaces
- Infrastructure and CI/CD
- Scaling strategy
- Technical risks

**PM** output: `pm.md`
- Phases with tasks and acceptance criteria
- Success metrics
- Out of scope items
- Assumptions

**Security** output: `security.md`
- Threat model (likelihood + impact)
- Data classification
- Auth strategy recommendation
- Compliance flags
- Concrete security tasks
- Urgent flags

### 5. Synthesis

Combines research + all three persona outputs into a single PLAN.md covering:
- Overview
- Clarifications table
- Tech stack
- Architecture
- Phases with tasks and acceptance criteria
- Security plan
- Success metrics
- Risks
- Tensions (unresolved disagreements between personas)
- Assumptions
- Out of scope
- Branch naming (GIT-OS format)

Output: `PLAN.md`

## Tools

| Action | Tool |
|--------|------|
| Read `BRIEF.md` | `Read` |
| Write persona output files (`architect.md`, `pm.md`, etc.) | `Write` |
| Spawn Architect, PM, Security personas in parallel | `Agent` (3 calls in one message) |
| Search the brief for keywords | `Grep` |

## Output Location

All files written to `.wednesday/plans/` in the target directory:

```
.wednesday/plans/
├── research.md    ← domain context
├── architect.md   ← technical design
├── pm.md          ← phases and metrics
├── security.md    ← threat model
└── PLAN.md        ← combined PRD (primary output)
```

## Failure Handling

Each agent fails independently. If one fails, the others continue and synthesis runs with whatever data is available. Failed agents show `[partial fallback]` in the progress display.

## Rules

- Branch naming in PLAN.md must follow GIT-OS format
- Never generate `CODEBASE.md` for greenfield projects — it doesn't exist yet
- Cost target: under $0.20 per run


---
Source attribution: wednesday-solutions
Original project: https://github.com/aibot88/sec_skill_store/blob/608120788167d56f99e31449e411e603ed250dc6/skills/claudskills/greenfield/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: wednesday-solutions
Original project: https://github.com/aibot88/sec_skill_store/blob/608120788167d56f99e31449e411e603ed250dc6/skills/claudskills/greenfield/SKILL.md
Attribution basis: Source repository record

Fields of work: Project & Program Management, Product Management, Operations, Design
Roles: Project Manager, Product Manager, Growth Product Manager, Business Process Analyst, UX Designer
Specialties: Specialty not specified
Tools: Agent
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: 0211e7a88ef42c30098da09873e788e296d5d727f6e7a1f32caa2341865db752