spec-to-repo
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more.
What this skill does
# Spec to Repo
Turn a natural-language project specification into a complete, runnable starter repository. Not a template filler — a spec interpreter that generates real, working code for any stack.
## When to Use
- User provides a text description of an app and wants code
- User has a PRD, requirements doc, or feature list and needs a codebase
- User says "build me an app that...", "scaffold this", "bootstrap a project"
- User wants a working starter repo, not just a file tree
**Not this skill** when the user wants a SaaS app with Stripe + Auth specifically — use `product-team/saas-scaffolder` instead.
## Core Workflow
### Phase 1 — Parse & Interpret
Read the spec. Extract these fields silently:
| Field | Source | Required |
|-------|--------|----------|
| App name | Explicit or infer from description | yes |
| Description | First sentence of spec | yes |
| Features | Bullet points or sentences describing behavior | yes |
| Tech stack | Explicit ("use FastAPI") or infer from context | yes |
| Auth | "login", "users", "accounts", "roles" | if mentioned |
| Database | "store", "save", "persist", "records", "schema" | if mentioned |
| API surface | "endpoint", "API", "REST", "GraphQL" | if mentioned |
| Deploy target | "Vercel", "Docker", "AWS", "Railway" | if mentioned |
**Stack inference rules** (when user doesn't specify):
| Signal | Inferred stack |
|--------|---------------|
| "web app", "dashboard", "SaaS" | Next.js + TypeScript |
| "API", "backend", "microservice" | FastAPI (Python) or Express (Node) |
| "mobile app" | Flutter or React Native |
| "CLI tool" | Go or Python |
| "data pipeline" | Python |
| "high performance", "systems" | Rust or Go |
After parsing, present a structured interpretation back to the user:
```
## Spec Interpretation
**App:** [name]
**Stack:** [framework + language]
**Features:**
1. [feature]
2. [feature]
**Database:** [yes/no — engine]
**Auth:** [yes/no — method]
**Deploy:** [target]
Does this match your intent? Any corrections before I generate?
```
Flag ambiguities. Ask **at most 3** clarifying questions. If the user says "just build it", proceed with best-guess defaults.
### Phase 2 — Architecture
Design the project before writing any files:
1. **Select template** — Match to a stack template from `references/stack-templates.md`
2. **Define file tree** — List every file that will be created
3. **Map features to files** — Each feature gets at minimum one file/component
4. **Design database schema** — If applicable, define tables/collections with fields and types
5. **Identify dependencies** — List every package with version constraints
6. **Plan API routes** — If applicable, list every endpoint with method, path, request/response shape
Present the file tree to the user before generating:
```
project-name/
├── README.md
├── .env.example
├── .gitignore
├── .github/workflows/ci.yml
├── package.json / requirements.txt / go.mod
├── src/
│ ├── ...
├── tests/
│ ├── ...
└── ...
```
### Phase 3 — Generate
Write every file. Rules:
- **Real code, not stubs.** Every function has a real implementation. No `// TODO: implement` or `pass` placeholders.
- **Syntactically valid.** Every file must parse without errors in its language.
- **Imports match dependencies.** Every import must correspond to a package in the manifest (package.json, requirements.txt, go.mod, etc.).
- **Types included.** TypeScript projects use types. Python projects use type hints. Go projects use typed structs.
- **Environment variables.** Generate `.env.example` with every required variable, commented with purpose.
- **README.md.** Include: project description, prerequisites, setup steps (clone, install, configure env, run), and available scripts/commands.
- **CI config.** Generate `.github/workflows/ci.yml` with: install, lint (if linter in deps), test, build.
- **.gitignore.** Stack-appropriate ignores (node_modules, __pycache__, .env, build artifacts).
**File generation order:**
1. Manifest (package.json / requirements.txt / go.mod)
2. Config files (.env.example, .gitignore, CI)
3. Database schema / migrations
4. Core business logic
5. API routes / endpoints
6. UI components (if applicable)
7. Tests
8. README.md
### Phase 4 — Validate
After generation, run through this checklist:
- [ ] Every imported package exists in the manifest
- [ ] Every file referenced by an import exists in the tree
- [ ] `.env.example` lists every env var used in code
- [ ] `.gitignore` covers build artifacts and secrets
- [ ] README has setup instructions that actually work
- [ ] No hardcoded secrets, API keys, or passwords
- [ ] At least one test file exists
- [ ] Build/start command is documented and would work
Run `scripts/validate_project.py` against the generated directory to catch common issues.
## Examples
### Example 1: Task Management API
**Input spec:**
> "Build me a task management API. Users can create, list, update, and delete tasks. Tasks have a title, description, status (todo/in-progress/done), and due date. Use FastAPI with SQLite. Add basic auth with API keys."
**Output file tree:**
```
task-api/
├── README.md
├── .env.example # API_KEY, DATABASE_URL
├── .gitignore
├── .github/workflows/ci.yml
├── requirements.txt # fastapi, uvicorn, sqlalchemy, pytest
├── main.py # FastAPI app, CORS, lifespan
├── models.py # SQLAlchemy Task model
├── schemas.py # Pydantic request/response schemas
├── database.py # SQLite engine + session
├── auth.py # API key middleware
├── routers/
│ └── tasks.py # CRUD endpoints
└── tests/
└── test_tasks.py # Smoke tests for each endpoint
```
### Example 2: Recipe Sharing Web App
**Input spec:**
> "I want a recipe sharing website. Users sign up, post recipes with ingredients and steps, browse other recipes, and save favorites. Use Next.js with Tailwind. Store data in PostgreSQL."
**Output file tree:**
```
recipe-share/
├── README.md
├── .env.example # DATABASE_URL, NEXTAUTH_SECRET, NEXTAUTH_URL
├── .gitignore
├── .github/workflows/ci.yml
├── package.json # next, react, tailwindcss, prisma, next-auth
├── tailwind.config.ts
├── tsconfig.json
├── next.config.ts
├── prisma/
│ └── schema.prisma # User, Recipe, Ingredient, Favorite models
├── src/
│ ├── app/
│ │ ├── layout.tsx
│ │ ├── page.tsx # Homepage — recipe feed
│ │ ├── recipes/
│ │ │ ├── page.tsx # Browse recipes
│ │ │ ├── [id]/page.tsx # Recipe detail
│ │ │ └── new/page.tsx # Create recipe form
│ │ └── api/
│ │ ├── auth/[...nextauth]/route.ts
│ │ └── recipes/route.ts
│ ├── components/
│ │ ├── RecipeCard.tsx
│ │ ├── RecipeForm.tsx
│ │ └── Navbar.tsx
│ └── lib/
│ ├── prisma.ts
│ └── auth.ts
└── tests/
└── recipes.test.ts
```
### Example 3: CLI Expense Tracker
**Input spec:**
> "Python CLI tool for tracking expenses. Commands: add, list, summary, export-csv. Store in a local SQLite file. No external API."
**Output file tree:**
```
expense-tracker/
├── README.md
├── .gitignore
├── .github/workflows/ci.yml
├── pyproject.toml
├── src/
│ └── expense_tracker/
│ ├── __init__.py
│ ├── cli.py # argparse commands
│ ├── database.py # SQLite operations
│ ├── models.py # Expense dataclass
│ └── formatters.py # Table + CSV output
└── tests/
└── test_cli.py
```
## Anti-Patterns
| Anti-pattern | Fix |
|---|---|
| **Placeholder code** — `// TODO: implement`, `pass`, empty function bodies | Every function has a real implementation. If complex, implement a working simplified version. |
| **Stack override** — picking Next.js when the user said Flask | Always honor explicit tech preferences. Only infer when the user doesn't specify. |
| **Missing .gitignore** — committing node_modules or .env | Generate stack-appropriate .gitignore as one of theRelated in Web Dev
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