Project Guidelines Skill (Example)
This is an example of a project-specific skill. Use this as a template for your own projects.
Based on a real production application: Zenith - AI-powered customer discovery platform.
When to Use
Reference this skill when working on the specific project it's designed for. Project skills contain:
- •Architecture overview
- •File structure
- •Code patterns
- •Testing requirements
- •Deployment workflow
Architecture Overview
Tech Stack:
- •Frontend: Next.js 15 (App Router), TypeScript, React
- •Backend: FastAPI (Python), Pydantic models
- •Database: Supabase (PostgreSQL)
- •AI: Claude API with tool calling and structured output
- •Deployment: Google Cloud Run
- •Testing: Playwright (E2E), pytest (backend), React Testing Library
Services:
code
┌─────────────────────────────────────────────────────────────┐
│ Frontend │
│ Next.js 15 + TypeScript + TailwindCSS │
│ Deployed: Vercel / Cloud Run │
└─────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Backend │
│ FastAPI + Python 3.11 + Pydantic │
│ Deployed: Cloud Run │
└─────────────────────────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Supabase │ │ Claude │ │ Redis │
│ Database │ │ API │ │ Cache │
└──────────┘ └──────────┘ └──────────┘
File Structure
code
project/ ├── frontend/ │ └── src/ │ ├── app/ # Next.js app router pages │ │ ├── api/ # API routes │ │ ├── (auth)/ # Auth-protected routes │ │ └── workspace/ # Main app workspace │ ├── components/ # React components │ │ ├── ui/ # Base UI components │ │ ├── forms/ # Form components │ │ └── layouts/ # Layout components │ ├── hooks/ # Custom React hooks │ ├── lib/ # Utilities │ ├── types/ # TypeScript definitions │ └── config/ # Configuration │ ├── backend/ │ ├── routers/ # FastAPI route handlers │ ├── models.py # Pydantic models │ ├── main.py # FastAPI app entry │ ├── auth_system.py # Authentication │ ├── database.py # Database operations │ ├── services/ # Business logic │ └── tests/ # pytest tests │ ├── deploy/ # Deployment configs ├── docs/ # Documentation └── scripts/ # Utility scripts
Code Patterns
API Response Format (FastAPI)
python
from pydantic import BaseModel
from typing import Generic, TypeVar, Optional
T = TypeVar('T')
class ApiResponse(BaseModel, Generic[T]):
success: bool
data: Optional[T] = None
error: Optional[str] = None
@classmethod
def ok(cls, data: T) -> "ApiResponse[T]":
return cls(success=True, data=data)
@classmethod
def fail(cls, error: str) -> "ApiResponse[T]":
return cls(success=False, error=error)
Frontend API Calls (TypeScript)
typescript
interface ApiResponse<T> {
success: boolean
data?: T
error?: string
}
async function fetchApi<T>(
endpoint: string,
options?: RequestInit
): Promise<ApiResponse<T>> {
try {
const response = await fetch(`/api${endpoint}`, {
...options,
headers: {
'Content-Type': 'application/json',
...options?.headers,
},
})
if (!response.ok) {
return { success: false, error: `HTTP ${response.status}` }
}
return await response.json()
} catch (error) {
return { success: false, error: String(error) }
}
}
Claude AI Integration (Structured Output)
python
from anthropic import Anthropic
from pydantic import BaseModel
class AnalysisResult(BaseModel):
summary: str
key_points: list[str]
confidence: float
async def analyze_with_claude(content: str) -> AnalysisResult:
client = Anthropic()
response = client.messages.create(
model="claude-sonnet-4-5-20250514",
max_tokens=1024,
messages=[{"role": "user", "content": content}],
tools=[{
"name": "provide_analysis",
"description": "Provide structured analysis",
"input_schema": AnalysisResult.model_json_schema()
}],
tool_choice={"type": "tool", "name": "provide_analysis"}
)
# Extract tool use result
tool_use = next(
block for block in response.content
if block.type == "tool_use"
)
return AnalysisResult(**tool_use.input)
Custom Hooks (React)
typescript
import { useState, useCallback } from 'react'
interface UseApiState<T> {
data: T | null
loading: boolean
error: string | null
}
export function useApi<T>(
fetchFn: () => Promise<ApiResponse<T>>
) {
const [state, setState] = useState<UseApiState<T>>({
data: null,
loading: false,
error: null,
})
const execute = useCallback(async () => {
setState(prev => ({ ...prev, loading: true, error: null }))
const result = await fetchFn()
if (result.success) {
setState({ data: result.data!, loading: false, error: null })
} else {
setState({ data: null, loading: false, error: result.error! })
}
}, [fetchFn])
return { ...state, execute }
}
Testing Requirements
Backend (pytest)
bash
# Run all tests pytest tests/ # Run with coverage pytest tests/ --cov=. --cov-report=html # Run specific test file pytest tests/test_auth.py -v
Test structure:
python
import pytest
from httpx import AsyncClient
from main import app
@pytest.fixture
async def client():
async with AsyncClient(app=app, base_url="http://test") as ac:
yield ac
@pytest.mark.asyncio
async def test_health_check(client: AsyncClient):
response = await client.get("/health")
assert response.status_code == 200
assert response.json()["status"] == "healthy"
Frontend (React Testing Library)
bash
# Run tests pnpm run test # Run with coverage pnpm run test -- --coverage # Run E2E tests pnpm run test:e2e
Test structure:
typescript
import { render, screen, fireEvent } from '@testing-library/react'
import { WorkspacePanel } from './WorkspacePanel'
describe('WorkspacePanel', () => {
it('renders workspace correctly', () => {
render(<WorkspacePanel />)
expect(screen.getByRole('main')).toBeInTheDocument()
})
it('handles session creation', async () => {
render(<WorkspacePanel />)
fireEvent.click(screen.getByText('New Session'))
expect(await screen.findByText('Session created')).toBeInTheDocument()
})
})
Deployment Workflow
Pre-Deployment Checklist
- • All tests passing locally
- •
pnpm run buildsucceeds (frontend) - •
pytestpasses (backend) - • No hardcoded secrets
- • Environment variables documented
- • Database migrations ready
Deployment Commands
bash
# Build and deploy frontend cd frontend && npm run build gcloud run deploy frontend --source . # Build and deploy backend cd backend gcloud run deploy backend --source .
Environment Variables
bash
# Frontend (.env.local) NEXT_PUBLIC_API_URL=https://api.example.com NEXT_PUBLIC_SUPABASE_URL=https://xxx.supabase.co NEXT_PUBLIC_SUPABASE_ANON_KEY=eyJ... # Backend (.env) DATABASE_URL=postgresql://... ANTHROPIC_API_KEY=sk-ant-... SUPABASE_URL=https://xxx.supabase.co SUPABASE_KEY=eyJ...
Critical Rules
- •No emojis in code, comments, or documentation
- •Immutability - never mutate objects or arrays
- •TDD - write tests before implementation
- •80% coverage minimum
- •Many small files - 200-400 lines typical, 800 max
- •No console.log in production code
- •Proper error handling with try/catch
- •Input validation with Pydantic/Zod
Related Skills
- •
coding-standards.md- General coding best practices - •
backend-patterns.md- API and database patterns - •
frontend-patterns.md- React and Next.js patterns - •
tdd-workflow/- Test-driven development methodology