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mindrally

mindrally

265 Skills published on GitHub.

machine-learning

Machine learning development with JAX, functional programming patterns, and high-performance computing.

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matplotlib-best-practices

Best practices for Matplotlib data visualization, plotting, and creating publication-quality figures in Python

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micronaut

Expert guidance for Micronaut framework development with compile-time dependency injection, GraalVM native builds, and cloud-native microservices

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microservices

Guidelines for building production-grade microservices with FastAPI/Python and Go, covering serverless patterns, clean architecture, observability, and resilience.

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nuxtjs-vue-typescript

Best practices for building Nuxt 3 and Vue 3 applications with TypeScript, the Composition API, and Tailwind CSS. Use when structuring Nuxt/Vue projects, writing composables, typing components and props, wiring up server routes and plugins, or optimizing Nuxt builds and Web Vitals.

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nx

Best practices for Nx monorepo development, project configuration, and code generation

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playwright

Playwright end-to-end testing best practices for web applications, covering test design, locator strategies, and assertion patterns.

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pnpm

Best practices for pnpm package manager, workspace management, and monorepo configuration

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react-native-cursor-rules

React Native development best practices for TypeScript, functional components, performance optimization, and styling guidelines.

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react

Expert in React development with modern patterns, hooks, and performance optimization

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redis-best-practices

Redis development best practices for caching, data structures, and high-performance key-value operations

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redux-toolkit

Comprehensive Redux Toolkit best practices for React and Next.js applications with TypeScript.

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security-best-practices

Security best practices for backend development, microservices, and secure coding patterns with emphasis on input validation and authentication

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systemverilog

SystemVerilog development guidelines for FPGA and ASIC design covering modular design, verification, and timing optimization.

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vue-typescript

Expert in Vue.js TypeScript development with Vite, Pinia, and modern UI frameworks

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web-development

Web development guidelines covering Bootstrap, Django, HTMX, and general web best practices

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web-scraping

Expert in web scraping and data extraction with Python tools

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webpack-bundler

Best practices and guidelines for Webpack module bundler configuration, optimization, and development workflows

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websocket-development

Best practices and guidelines for building real-time applications with WebSocket communication

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angular

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

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anime-js

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

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anthropic-claude-development

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

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apollo-graphql

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

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astro

Expert in Astro framework with static generation and partial hydration patterns

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auth0-authentication

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

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autogen-development

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

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automl-hyperparameter-optimization

Best practices for AutoML and hyperparameter search with Optuna, Ray Tune, and PyCaret, covering search-space design, validation splits, and leakage prevention. Use when tuning model hyperparameters, setting up a pruned or distributed hyperparameter search, designing a nested validation scheme, or evaluating whether an AutoML leaderboard result is production-ready.

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aws-development

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

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azure

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

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bash-scripting

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

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beautifulsoup-parsing

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

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bitbucket-workflow

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

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blazor

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

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blender-python-addon

Best practices for writing Blender Python add-ons using the bpy API, covering operators, panels, properties, registration, and API-safe scripting. Use when creating a Blender add-on, defining bpy.types.Operator or Panel classes, registering PropertyGroup settings, writing register()/unregister() functions, working with bmesh, or debugging add-ons in Blender's Python console.

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blockchain

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

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bootstrap

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

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business-central-development

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

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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.

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chrome-extension-development

Expert guidelines for Chrome extension development with Manifest V3, covering security, performance, and best practices. Use when building browser extensions, creating popup UIs, implementing content scripts, working with Chrome APIs, managing extension permissions, or publishing to Chrome Web Store.

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ci-cd-best-practices

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

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clean-code

Clean, maintainable, human-readable code principles combined with anti-over-engineering discipline: naming, single responsibility, DRY, and scoping changes to exactly what was requested. Use when writing new code, refactoring existing code, reviewing code for quality, or deciding how much abstraction a change actually needs.

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computer-vision-opencv

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

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data-jupyter-python

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

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deep-learning-pytorch

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

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deno-typescript

Guidelines for developing with Deno and TypeScript using modern runtime features, security model, and native tooling

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design-systems

Comprehensive design system guidelines for building consistent, accessible, and scalable component libraries. Use when creating design tokens, building component libraries, implementing design systems, setting up theming architecture, or establishing UI governance processes.

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django-python

Expert in Django Python web development with best practices

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drizzle-orm

Guidelines for developing with Drizzle ORM, a lightweight type-safe TypeScript ORM with SQL-like syntax

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drupal-development

Expert guidance for Drupal 10 module development with PHP 8+, SOLID principles, and Drupal coding standards

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elasticsearch-best-practices

Elasticsearch development best practices for indexing, querying, and search optimization

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