القائمة
Flask web framework patterns, Blueprints, extensions, SQLAlchemy integration, and REST API design.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/InugamiDev/ultrathink-oss --skill flaskيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Unified design foundations — design system architecture, tokens, component specs, visual principles, creative vision, figma integration, plus brand design system loader (66 real brands via DESIGN.md). Absorbs design, design-system, design-systems, design-principles, design-router, creative-vision, figma, design-md.
Render, summarize, and present markdown documents and structured content in multiple output modes
Ultra UI skill - combines Google's DESIGN.md spec (machine-readable design tokens) with the ui-ux-pro-max knowledge base (91 styles, 161 palettes, 73 font pairings, 161 products, 104 UX guidelines, 25 chart types). Generates lint-clean DESIGN.md files, validates token references and WCAG contrast, exports Tailwind/DTCG tokens, and diffs design systems version-over-version.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | flask |
| description | Flask web framework patterns, Blueprints, extensions, SQLAlchemy integration, and REST API design. |
| layer | domain |
| category | backend |
| triggers | ["flask","flask blueprint","flask extension","flask sqlalchemy","flask rest"] |
| inputs | ["Flask application architecture questions","Blueprint organization and registration","Extension integration (SQLAlchemy, Migrate, etc.)","REST API endpoint design"] |
| outputs | ["Flask application structure with Blueprints","SQLAlchemy model and query patterns","REST API endpoints with proper error handling","Extension configuration and initialization"] |
| linksTo | ["python","postgresql","redis"] |
| linkedFrom | [] |
| preferredNextSkills | ["python","postgresql","docker"] |
| fallbackSkills | ["fastapi","django"] |
| riskLevel | low |
| memoryReadPolicy | selective |
| memoryWritePolicy | none |
| sideEffects | [] |
Provide expert guidance on Flask application architecture, Blueprint organization, extension integration, REST API design, and production deployment patterns. Covers Flask 3.x with modern Python async support and type hints.
Always use the application factory pattern for testability and multiple configurations:
# app/__init__.py
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_cors import CORS
db = SQLAlchemy()
migrate = Migrate()
def create_app(config_name: str = "default") -> Flask:
app = Flask(__name__)
app.config.from_object(config[config_name])
# Initialize extensions
db.init_app(app)
migrate.init_app(app, db)
CORS(app, resources={r"/api/*": {"origins": app.config["ALLOWED_ORIGINS"]}})
# Register blueprints
from app.api.auth import auth_bp
from app.api.users import users_bp
app.register_blueprint(auth_bp, url_prefix="/api/auth")
app.register_blueprint(users_bp, url_prefix="/api/users")
# Register error handlers
register_error_handlers(app)
return app
Structure Blueprints by domain, not by technical layer:
app/
__init__.py # create_app factory
models/
__init__.py
user.py
order.py
api/
auth/
__init__.py # Blueprint definition
routes.py # Route handlers
schemas.py # Marshmallow/Pydantic schemas
services.py # Business logic
users/
__init__.py
routes.py
schemas.py
services.py
core/
config.py
errors.py
middleware.py
Blueprint definition:
# app/api/users/__init__.py
from flask import Blueprint
users_bp = Blueprint("users", __name__)
from app.api.users import routes # noqa: E402, F401 — register routes
Route handlers — keep thin, delegate to services:
# app/api/users/routes.py
from flask import request, jsonify
from app.api.users import users_bp
from app.api.users.schemas import UserCreateSchema, UserResponseSchema
from app.api.users.services import UserService
@users_bp.route("/", methods=["POST"])
def create_user():
schema = UserCreateSchema()
data = schema.load(request.get_json())
user = UserService.create(data)
return jsonify(UserResponseSchema().dump(user)), 201
@users_bp.route("/<int:user_id>", methods=["GET"])
def get_user(user_id: int):
user = UserService.get_or_404(user_id)
return jsonify(UserResponseSchema().dump(user))
Model patterns with proper relationships:
# app/models/user.py
from datetime import datetime
from app import db
class User(db.Model):
__tablename__ = "users"
id = db.Column(db.Integer, primary_key=True)
email = db.Column(db.String(255), unique=True, nullable=False, index=True)
name = db.Column(db.String(100), nullable=False)
password_hash = db.Column(db.String(255), nullable=False)
is_active = db.Column(db.Boolean, default=True, nullable=False)
created_at = db.Column(db.DateTime, default=datetime.utcnow, nullable=False)
updated_at = db.Column(
db.DateTime, default=datetime.utcnow, onupdate=datetime.utcnow
)
# Relationships
orders = db.relationship("Order", back_populates="user", lazy="dynamic")
def __repr__(self) -> str:
return f"<User {self.email}>"
Query patterns — use service layer:
# app/api/users/services.py
from flask import abort
from app import db
from app.models.user import User
class UserService:
@staticmethod
def get_or_404(user_id: int) -> User:
return db.get_or_404(User, user_id, description=f"User {user_id} not found")
@staticmethod
def create(data: dict) -> User:
user = User(**data)
db.session.add(user)
db.session.commit()
return user
@staticmethod
def list_active(page: int = 1, per_page: int = 20):
return User.query.filter_by(is_active=True).paginate(
page=page, per_page=per_page, error_out=False
)
Consistent error handling:
# app/core/errors.py
from flask import Flask, jsonify
from werkzeug.exceptions import HTTPException
def register_error_handlers(app: Flask):
@app.errorhandler(HTTPException)
def handle_http_error(error):
return jsonify({
"error": error.name,
"message": error.description,
"status": error.code,
}), error.code
@app.errorhandler(422)
def handle_validation_error(error):
return jsonify({
"error": "Validation Error",
"messages": error.description,
"status": 422,
}), 422
Request validation with Marshmallow:
# app/api/users/schemas.py
from marshmallow import Schema, fields, validate
class UserCreateSchema(Schema):
email = fields.Email(required=True)
name = fields.Str(required=True, validate=validate.Length(min=1, max=100))
password = fields.Str(
required=True, validate=validate.Length(min=8), load_only=True
)
class UserResponseSchema(Schema):
id = fields.Int(dump_only=True)
email = fields.Email()
name = fields.Str()
is_active = fields.Bool()
created_at = fields.DateTime()
# app/core/config.py
import os
class Config:
SECRET_KEY = os.environ["SECRET_KEY"]
SQLALCHEMY_TRACK_MODIFICATIONS = False
JSON_SORT_KEYS = False
class DevelopmentConfig(Config):
DEBUG = True
SQLALCHEMY_DATABASE_URI = os.environ.get(
"DATABASE_URL", "postgresql://localhost/myapp_dev"
)
ALLOWED_ORIGINS = ["http://localhost:3000"]
class ProductionConfig(Config):
SQLALCHEMY_DATABASE_URI = os.environ["DATABASE_URL"]
SQLALCHEMY_ENGINE_OPTIONS = {
"pool_size": 10,
"pool_recycle": 300,
"pool_pre_ping": True,
}
ALLOWED_ORIGINS = os.environ["ALLOWED_ORIGINS"].split(",")
class TestingConfig(Config):
TESTING = True
SQLALCHEMY_DATABASE_URI = "sqlite:///:memory:"
ALLOWED_ORIGINS = ["*"]
config = {
"development": DevelopmentConfig,
"production": ProductionConfig,
"testing": TestingConfig,
"default": DevelopmentConfig,
}
# app/core/middleware.py
import time
from flask import Flask, g, request
import logging
logger = logging.getLogger(__name__)
def register_middleware(app: Flask):
@app.before_request
def before_request():
g.start_time = time.monotonic()
@app.after_request
def after_request(response):
if hasattr(g, "start_time"):
duration = time.monotonic() - g.start_time
logger.info(
"request_completed",
extra={
"method": request.method,
"path": request.path,
"status": response.status_code,
"duration_ms": round(duration * 1000, 2),
},
)
return response
# tests/conftest.py
import pytest
from app import create_app, db as _db
@pytest.fixture(scope="session")
def app():
app = create_app("testing")
with app.app_context():
_db.create_all()
yield app
_db.drop_all()
@pytest.fixture
def client(app):
return app.test_client()
@pytest.fixture
def db_session(app):
with app.app_context():
yield _db.session
_db.session.rollback()
# tests/api/test_users.py
def test_create_user(client):
response = client.post("/api/users/", json={
"email": "test@example.com",
"name": "Test User",
"password": "securepass123",
})
assert response.status_code == 201
assert response.json["email"] == "test@example.com"
app object directly.pool_size, pool_recycle, and pool_pre_ping in production.db.create_all() in production.g for request-scoped data — Not module-level globals.| Pitfall | Problem | Fix |
|---|---|---|
| Circular imports | Models import app, app imports models | Use application factory + init_app() pattern |
Missing db.session.commit() | Data never persists | Always commit in service layer or use context manager |
| No connection pool tuning | DB connection exhaustion under load | Set SQLALCHEMY_ENGINE_OPTIONS with pool settings |
| Global app object | Untestable, config locked at import | Use create_app() factory |
request outside context | RuntimeError in background tasks | Pass data explicitly or use app.app_context() |
| Dev server in production | Single-threaded, no SSL, debug mode | Use Gunicorn: gunicorn -w 4 "app:create_app()" |