Explore MCP Servers & Agent Skills

io.github.affaan-m/ECC/mle-workflow

Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks.

io.github.affaan-m/ECC/django-security

Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations.

io.github.affaan-m/ECC/springboot-patterns

Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.

io.github.affaan-m/ECC/django-patterns

Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.

io.github.affaan-m/ECC/fastapi-patterns

FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.

io.github.affaan-m/ECC/swift-protocol-di-testing

Protocol-based dependency injection for testable Swift code — mock file system, network, and external APIs using focused protocols and Swift Testing.

io.github.affaan-m/ECC/rust-testing

Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology.

io.github.affaan-m/ECC/kotlin-testing

Kotlin testing patterns with Kotest, MockK, coroutine testing, property-based testing, and Kover coverage. Follows TDD methodology with idiomatic Kotlin practices.

io.github.affaan-m/ECC/cpp-testing

Use only when writing/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

io.github.affaan-m/ECC/nestjs-patterns

NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.

io.github.affaan-m/ECC/java-coding-standards

Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions.

io.github.affaan-m/ECC/nextjs-turbopack

Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

io.github.affaan-m/ECC/react-testing

React component testing with React Testing Library, Vitest/Jest, MSW for network mocking, accessibility assertions with axe, and the decision boundary between component tests and Playwright/Cypress end-to-end runs. Use when writing or fixing tests for React components, hooks, or pages.

io.github.affaan-m/ECC/react-patterns

React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.

io.github.affaan-m/ECC/coding-standards

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

io.github.affaan-m/ECC/coding-standards

适用于TypeScript、JavaScript、React和Node.js开发的通用编码标准、最佳实践和模式。

io.github.affaan-m/ECC/frontend-patterns

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

io.github.affaan-m/ECC/frontend-patterns

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

io.github.affaan-m/ECC/frontend-patterns

React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。

io.github.affaan-m/ECC/frontend-patterns

React, Next.js, state yönetimi, performans optimizasyonu ve UI en iyi uygulamaları için frontend geliştirme kalıpları.

io.github.affaan-m/ECC/frontend-patterns

React、Next.js、状態管理、パフォーマンス最適化、UIベストプラクティスのためのフロントエンド開発パターン。

io.github.affaan-m/ECC/python-patterns

Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。