project-guidelines-example: Скилл для создания шаблонов проектов

--- name: project-guidelines-example description: "Example project-specific skill template based on a real production application." origin: ECC --- # 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](https://zenith.chat) - 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:** ``` ┌─────────────────────────────────────────────────────────────┐ │ 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 ``` 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 poetry run pytest tests/ # Run with coverage poetry run pytest tests/ --cov=. --cov-report=html # Run specific test file poetry run 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 npm run test # Run with coverage npm run test -- --coverage # Run E2E tests npm 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 - [ ] `npm run build` succeeds (frontend) - [ ] `poetry run pytest` passes (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 1. **No emojis** in code, comments, or documentation 2. **Immutability** - never mutate objects or arrays 3. **TDD** - write tests before implementation 4. **80% coverage** minimum 5. **Many small files** - 200-400 lines typical, 800 max 6. **No console.log** in production code 7. **Proper error handling** with try/catch 8. **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