Mindrally/skills

accessibility-a11y

Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.

Quellsprache: Englisch

alpine-js

Alpine.js development guidelines for lightweight reactive interactions with Tailwind CSS and various backend frameworks.

Quellsprache: Englisch

analytics-data-analysis

Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.

Quellsprache: Englisch

android-development

Android development guidelines for Kotlin with clean architecture, MVI pattern, Material Design, and best practices for building robust mobile applications

Quellsprache: Englisch

angular-development

Expert guidance for Angular and TypeScript development focused on scalable, high-performance web applications

Quellsprache: Englisch

angular

Expert in Angular TypeScript development with scalable, high-performance patterns

Quellsprache: Englisch

anime-js

Expert guidelines for building performant animations with Anime.js animation library

Quellsprache: Englisch

anthropic-claude-development

Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.

Quellsprache: Englisch

api-development

Guidelines for building clean, scalable APIs with Go standard library and NestJS TypeScript, covering security, validation, and modular architecture.

Quellsprache: Englisch

apollo-graphql

Guidelines for developing GraphQL APIs and React applications using Apollo Client for state management, data fetching, and caching

Quellsprache: Englisch

aspnet-core

Guidelines for ASP.NET Core web development covering API design, authentication, caching, and best practices

Quellsprache: Englisch

astro

Expert in Astro framework with static generation and partial hydration patterns

Quellsprache: Englisch

auth0-authentication

Guidelines for implementing Auth0 authentication with best practices for security, rules, actions, and SDK integration

Quellsprache: Englisch

autogen-development

Expert guidance for Microsoft AutoGen multi-agent framework development including agent creation, conversations, tool integration, and orchestration patterns.

Quellsprache: Englisch

aws-development

AWS development best practices for Lambda, SAM, CDK, DynamoDB, IAM, and serverless architecture using Infrastructure as Code.

Quellsprache: Englisch

azure

Azure cloud development guidelines for ARM templates, Azure Pipelines, Kubernetes, and cloud-native services.

Quellsprache: Englisch

backend-development

Guidelines for backend development in C++ and Elixir/Phoenix, covering modern language features, best practices, and production-ready patterns.

Quellsprache: Englisch

bash-scripting

Bash scripting guidelines covering security, portability, error handling, and automation best practices for DevOps.

Quellsprache: Englisch

beautifulsoup-parsing

Expert guidance for HTML/XML parsing using BeautifulSoup in Python with best practices for DOM navigation, data extraction, and efficient scraping workflows.

Quellsprache: Englisch

bitbucket-workflow

Bitbucket best practices for pull requests, Pipelines CI/CD, Jira integration, and Atlassian ecosystem workflows

Quellsprache: Englisch

blazor

Guidelines for Blazor development including component lifecycle, state management, and performance optimization

Quellsprache: Englisch

blockchain

Expert guidelines for blockchain development including CosmWasm, Cosmos, and cross-chain patterns

Quellsprache: Englisch

bootstrap

Bootstrap development guidelines for responsive layouts, components, and utility-first styling.

Quellsprache: Englisch

business-central-development

Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions

Quellsprache: Englisch

c-sharp

Guidelines for C# development including Blazor, Unity game development, and .NET backend best practices

Quellsprache: Englisch

cheerio-parsing

Expert guidance for HTML/XML parsing using Cheerio in Node.js with best practices for DOM traversal, data extraction, and efficient scraping pipelines.

Quellsprache: Englisch

ci-cd-best-practices

CI/CD best practices for building automated pipelines, deployment strategies, testing, and DevOps workflows across platforms

Quellsprache: Englisch

clean-architecture

Guidelines for implementing Clean Architecture patterns in Flutter and Go applications, with emphasis on separation of concerns, dependency rules, and testability.

Quellsprache: Englisch

clerk-authentication

Guidelines for implementing Clerk authentication in Next.js applications with middleware, hooks, and security best practices

Quellsprache: Englisch

cloudflare-development

Cloudflare Workers, Pages, KV, D1, R2, and Durable Objects development best practices for edge computing applications.

Quellsprache: Englisch

computer-vision-opencv

Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.

Quellsprache: Englisch

convex

Guidelines for developing with Convex backend-as-a-service platform, covering queries, mutations, actions, and real-time data patterns

Quellsprache: Englisch

cpp

Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization

Quellsprache: Englisch

css

Best practices for CSS development including modern layout techniques, naming conventions, theming, and maintainable stylesheet architecture

Quellsprache: Englisch

cypress

Cypress end-to-end testing best practices for web applications, covering test structure, commands, and reliability patterns.

Quellsprache: Englisch

data-analysis-jupyter

Expert guidance for data analysis, visualization, and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Quellsprache: Englisch

data-analyst

Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.

Quellsprache: Englisch

data-jupyter-python

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Quellsprache: Englisch

deep-learning-python

Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.

Quellsprache: Englisch

deep-learning-pytorch

Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.

Quellsprache: Englisch