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squadron

MIT 10 agents 5 skills

A starting point for projects run by one person and a team of AI agents, with a real process and documentation the agents actually obey.

This is not a framework. It's an opinionated skeleton for you to adapt.


The problem it solves

Building with AI is too fast. The agent delivers in minutes, and you only find out you asked for the wrong thing once it's done. And when several screens are generated, each one comes out with its own data shape, spacing and color.

This repository applies three things that fix that:

1. Nothing is built without a spec. The IFO method: Input, Flow, Output. Fifteen lines that force you to think before something very quick thinks for you.

2. All data goes through a contract. A single src/lib/api.ts holds everything that comes in and out. It stops being throwaway code and becomes the specification the backend fulfills. Consequence: frontend and backend work in parallel without talking to each other.

3. Separate roles, with isolated context. A QA that knows what the code was meant to do tests the happy path. A QA that arrives with no context breaks the screen the way a user breaks it. Its ignorance is the feature.


What's inside

CLAUDE.md                 project rules, read every session
.mcp.example.json         MCP servers the agents use
.claude/
├── agents/               10 specialists, each with its own context
└── skills/               5 conductors, running in the main conversation
DOCS/
├── PRD.md                the product, for whom, and what it does NOT do
├── CONTRACT.md           api.ts and the four rules
├── ARCHITECTURE.md       decisions, each with its cost declared
├── DESIGN-SYSTEM.md      tokens: color, spacing, typography
├── DATA.md               schema, migrations, access policies
├── INFRASTRUCTURE.md     server, deploy, DNS, secrets
└── features/
    └── _TEMPLATE.md      the IFO spec

The five skills

They run in the main conversation. That's the only place agents can be dispatched from.

Skill When to use it
/setup configure the repository, and re-adjust when something changes
/product-manager I don't know what to do next
/spec I need the spec before building
/tech-lead I know what I want built
/scrum-master just organizing the board

The ten agents

product-owner · researcher · software-architect · frontend-developer · backend-developer · data-engineer · ux-designer · quality-assurance · security-engineer · devops-engineer


How to use it

1. Bring it into your project. Clone it, download the zip, use it as a GitHub template, copy the folders by hand. Doesn't matter.

git clone https://github.com/YellowKode-Academy/squadron my-project
cd my-project
rm -rf .git && git init
cp .mcp.example.json .mcp.json

2. Configure it. Open Claude Code in the folder and run:

/setup

It looks at what already exists in the directory, asks five questions about your project, and adapts CLAUDE.md and the documents to your context.

The five:

  1. Are you alone or with other people?
  2. Is it a new project or is there code already running?
  3. Do you already know what you're going to build?
  4. Does it have a UI, a server, a database? Where does it ship?
  5. Will it handle logins, payments or personal data?

Each one changes something real — above all which agents get deleted.

Already have a project document? Pass it straight in, and it only asks what's missing:

/setup PRD.md
/setup https://link-to-your-document

Something changed later? Run it again, pointing at what changed:

/setup adjust for we now have a database
/setup adjust for another person joined the team

3. Start. The first useful thing is almost never code:

/product-manager    →  what do we do first?
/spec <feature>     →  write it before building
/tech-lead <thing>  →  build it

MCP

.mcp.example.json ships with Playwright, which is what lets agents open the application and actually use it instead of only reading code.

cp .mcp.example.json .mcp.json

Two agents depend on it and get noticeably worse without it:

  • quality-assurance navigates the screens, resizes to 375px, checks the console, and tries to break things the way a user does. Without a browser it can only read code, and reading code doesn't catch broken layout.
  • researcher opens documentation and repositories that search results don't surface, and tests a tool when testing is possible. One test beats five articles.

ux-designer also uses it to compare screens side by side. Reading the code catches some inconsistencies; seeing the screen catches alignment and vertical rhythm.

Add whatever else you use — database, issue tracker, deployment platform — and declare the permission in .claude/settings.json.

.mcp.json stays out of Git on purpose: it may hold paths and credentials specific to your machine. .mcp.example.json is the versioned one.


This is generic. Adapt it.

The rules here are what works in the project it came from. Not all of them will fit yours.

What you'll probably want to change:

Where What
CLAUDE.md everything in brackets, the conventions, the commands
DOCS/CONTRACT.md the file path if it isn't src/lib/api.ts
DOCS/DESIGN-SYSTEM.md the spacing scale and the tokens
.claude/agents/* what each specialist always checks in your project
.claude/settings.json permissions and MCPs you actually use

While there are [ ] in the files, the repository isn't yours yet.


Delete what you don't use

The most important part of this README, and the one almost nobody follows.

Someone who built 100 subagents and kept 12 put it well: subtraction is the whole game. Too many agents make routing worse — similar descriptions confuse who calls whom, and you end up with a team that gets in the way.

Honest suggestions:

  • Not deploying it yourself? Delete devops-engineer.
  • No database? Delete data-engineer.
  • No interface? Delete ux-designer and frontend-developer.
  • Working alone with no board? Delete scrum-master.
  • Never evaluating new technology? Delete researcher.

An agent you never call is not neutral: it costs context and pollutes the choice. Delete without guilt, you can always bring it back.

Delete freely: the skills adapt. Every skill starts by reading .claude/agents/ to find out who actually exists, instead of trusting the list written inside it. If an agent is gone, it says which step is uncovered instead of failing halfway. If you created a new agent, it reads the description and uses it.

The minimum that still makes sense: spec + tech-lead + frontend-developer + quality-assurance. That already delivers the essentials — think first, build, and someone with no context trying to break it.


Two things worth keeping

If you change everything else, keep these two. They're what makes the rest work.

The contract. All data in one file, every function async, a deliberate 300ms delay in the mock, and a way to force an error. The delay sounds trivial and is the most important rule: with it you're forced to build the loading state; without it your app only works on an internet that doesn't exist.

The agents' context budget. Each one has a line limit on its report. A subagent exists to hold volume away from the main conversation — if it returns a huge report, it undoes its own reason for existing.


Improvements welcome

This repository is generic on purpose, and generic always has room to improve.

If you adapted it to your context and found something that helps everyone, open an issue or a PR. What helps most:

  • An agent you created and actually use, with the reason it earns its own context
  • A rule you added to CLAUDE.md after getting burned
  • An agent from here that you deleted, and why — that's worth as much as adding one
  • A document in DOCS/ that was missing in your project

The bar for inclusion: it has to earn its own context. If the main conversation already does it well, it doesn't become an agent.


Where this came from

Born out of a Build in Public series by YellowKode, building a SaaS from zero to live with an agent squad.

The roles weren't invented: they're the jobs on a real software team — Product Owner, Tech Lead, QA, DevOps, Security — each with the responsibility it has in real life.

About

An opinionated skeleton for projects run by one person and a team of AI agents. 10 agents, 5 skills, and documentation the agents actually obey. Not a framework, a starting point you adapt.

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