Agent skill

Greenfield

by wednesday-solutions in wednesday-solutions/ai-agent-skills

Parallel persona planning for new projects. An agent skill from wednesday-solutions/ai-agent-skills.

MITAuto-check passedProduct & Project Management

Install Greenfield

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/greenfield .claude/skills/greenfield && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .claude/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/greenfield .agents/skills/greenfield && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .agents/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/greenfield .cursor/skills/greenfield && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .cursor/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/wednesday-solutions/ai-agent-skills.git --path skills/greenfield

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/greenfield .gemini/skills/greenfield && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .gemini/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/greenfield .github/skills/greenfield && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .github/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install wednesday-solutions/ai-agent-skills greenfield --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/wednesday-solutions/ai-agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/greenfield .opencode/skills/greenfield && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "greenfield" agent skill from https://github.com/wednesday-solutions/ai-agent-skills/tree/main/skills/greenfield into .opencode/skills/greenfield/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "greenfield", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: greenfield
GitHub stars: 170
Token cost: ~914 tokens
SKILL.md length: 334 words
Files: 1
Skills in repo: 10
Repo updated: May 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Parallel persona planning for new projects. An agent skill from wednesday-solutions/ai-agent-skills.

Works in 2 steps: Research (sequential — runs first) → Synthesis
Tasks that involve Deep research
SKILL.md covers Trigger, Flow, Agents and Tools, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Greenfield is an agent skill from wednesday-solutions/ai-agent-skills. 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.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering Deep research. The repository describes itself as: Pre-configured agent skills for Vibe Coded projects. These skills provide AI coding assistants (Claude Code, Cursor, etc.) with specific guidelines for code quality and design… The licence is MIT.

When your agent uses it

Tasks that involve Deep research

Example prompts

“/greenfield”

Workflow steps

2 steps, taken from the step headings in SKILL.md.

Research (sequential — runs first)
Synthesis

What it can do on your machine

Read from SKILL.md and the folder at commit 80fa195. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Greenfield loads about 914 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~65
When it runs · the whole SKILL.md, loaded when a task matches: ~914

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from wednesday-solutions/ai-agent-skills at commit 80fa195, republished under its MIT licence (© wednesday-solutions). 334 words, ~914 tokens.

Download SKILL.mdSave it as .claude/skills/greenfield/SKILL.md (or your agent's skills folder).

name: greenfield
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
metadata.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

Files

Just SKILL.md in skills/greenfield of wednesday-solutions/ai-agent-skills.

Open the folder on GitHubat commit 80fa195

Compare with similar skills

Greenfield next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Greenfield compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Greenfield this skillwednesday-solutions/ai-agent-skills	170	—	~914	Automated safety check: Pass	MIT	4 mo ago
Tdoctornado-doc/tdoc	103	—	~18k	Automated safety check: Notes	AGPL-3.0	yesterday
Expand Tasksanombyte93/prd-taskmaster	605	—	~2k	Automated safety check: Notes	MIT	1 mo ago
Writing312362115/claude	107	—	~1.6k	Automated safety check: Pass	MIT	4 mo ago
Product Managerstaruhub/ClaudeSkills	727	—	~2.1k	Automated safety check: Pass	MIT	1 mo ago
AI Research Analystcbrock84/headcount	2k	—	~916	Automated safety check: Pass	MIT	22 days ago

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Questions about Greenfield

What does Greenfield do?

Parallel persona planning for new projects. An agent skill from wednesday-solutions/ai-agent-skills. Greenfield is an agent skill from wednesday-solutions/ai-agent-skills. Parallel persona planning for new projects.

When should I use Greenfield?

Greenfield fits situations like: tasks that involve Deep research.

How do I install Greenfield in Claude Code?

Run `npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a claude-code`. Or copy the skill folder (skills/greenfield in wednesday-solutions/ai-agent-skills) into .claude/skills/greenfield in your project. Claude Code loads it when a task matches its description.

How do I install Greenfield in Codex?

Run `npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a codex`. Or copy the skill folder (skills/greenfield in wednesday-solutions/ai-agent-skills) into .agents/skills/greenfield in your project. Codex loads it when a task matches its description.

Can I use Greenfield in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add wednesday-solutions/ai-agent-skills --skill greenfield -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/greenfield, .gemini/skills/greenfield, .github/skills/greenfield and .opencode/skills/greenfield in your project.

What does Greenfield need to run?

SKILL.md names no scripts, command-line tools or credentials: Greenfield is instructions for the agent only.

Does Greenfield access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Greenfield safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Greenfield use?

Greenfield is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Greenfield use?

About 914 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Greenfield?

Skills that share tags, products or a category with Greenfield: Tdoc (tornado-doc/tdoc, 103 stars), Expand Tasks (anombyte93/prd-taskmaster, 605 stars), Writing (312362115/claude, 107 stars) and Product Manager (staruhub/ClaudeSkills, 727 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Greenfield?

wednesday-solutions (a GitHub organization) maintains it in wednesday-solutions/ai-agent-skills, which has 170 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on May 26, 2026.

Source: wednesday-solutions/ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Greenfield

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Greenfield Planning Skill

Trigger

Flow

Agents

1. Research (sequential — runs first)

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

5. Synthesis

Tools

Output Location

Failure Handling

Rules

Files

Compare with similar skills

Similar skills

More from wednesday-solutions/ai-agent-skills

Related

Questions about Greenfield