菜单
Manage code quality for Football Prediction project using Make commands. Use when running quality checks, formatting code, running tests, or preparing for commits. Supports black, flake8, mypy, bandit, pytest, and coverage tools.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | code-quality |
| description | Manage code quality for Football Prediction project using Make commands. Use when running quality checks, formatting code, running tests, or preparing for commits. Supports black, flake8, mypy, bandit, pytest, and coverage tools. |
This skill helps maintain code quality standards for the Football Prediction project through automated quality checks and fixes.
make quality # Run all quality checks
make test # Run unit tests
make coverage # Run tests with coverage report
make ci # Complete CI simulation
make format # Format code with black
make fix # Quick fix: format + lint
make lint # Run flake8 linting
make typecheck # Run mypy type checking
make security # Run bandit security scan
make complexity # Run code complexity analysis
make deadcode # Run dead code detection
make prepush # Complete pre-commit check
./ci-verify.sh # Local CI verification
src/ml/features/ - ML feature engineering modulessrc/services/ - Service layer implementationsrc/api/ - FastAPI routers and endpointssrc/ml/inference/ - ML inference layertests/v2/ - V2 architecture tests (highest priority)tests/unit/ - Unit tests for business logictests/integration/ - Database and API integration teststests/e2e/ - End-to-end workflow teststests/performance/ - Performance and load testsmake quality to check all quality standardsmake test to ensure tests passmake coverage to verify coveragemake prepush for final validation./ci-verify.sh for local pre-CI validation./scripts/docker-manager.sh testhtmlcov/index.htmldocker-devops: Docker and DevOps best practicesfastapi-development: FastAPI async API developmentapi-testing: API testing (FastAPI endpoints)This skill integrates with:
Comprehensive API testing including unit tests, integration tests, performance testing, and automated test pipelines. Use when testing REST endpoints, validating API responses, load testing, or setting up test automation.
Collect football data from external APIs including FotMob L2 data, odds information, and real-time match statistics. Use when gathering match data, collecting historical statistics, or updating prediction datasets.
Design and optimize data pipelines for football prediction system. Use when building ETL processes, data transformations, or optimizing data flow between PostgreSQL, Redis, and external APIs.
Manage PostgreSQL database operations including migrations, query optimization, connection pooling, and data backup/restore. Use when handling database tasks, optimizing queries, or managing database connections.
Manage application deployment including Docker containers, production environments, and service orchestration. Use when deploying to production, managing Docker services, or handling deployment rollbacks.
专业级容器化部署和自动化运维技能，基于FootballPrediction项目实战经验，提供Docker容器管理、权限修复、健康监控、故障诊断、一键部署等10个核心能力。