Claude Skills by Zephyrex21

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

CI/CD pipeline design with GitHub Actions, GitLab CI, and Jenkins. Use when the user mentions CI/CD, continuous integration, continuous deployment, GitHub Actions, GitLab CI, Jenkins, Jenkinsfile, pipeline, workflow, build automation, reusable workflow, composite action, GitLab runner, pipeline security, OIDC, secrets management, matrix build, monorepo pipeline, environment promotion, build cache, or automating build/test/deploy workflows. Complements container-orchestration and infrastructur...

OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.

Provides comprehensive code review guidance for React 19, Vue 3, Angular 17+, Svelte 5, Rust, TypeScript, Java, Java 8, PHP, Ruby, Rails, Python, Django, FastAPI, Go, C#/.NET, Kotlin, Swift, NestJS, C/C++, Zig, CSS/Less/Sass, Qt, and more. Covers architecture review, performance review, security audit, code quality anti-patterns, and common bugs across all ecosystems. Use when: reviewing pull requests, conducting PR reviews, code review, reviewing code changes, establishing review standards, ...

Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.

Produce thoughtful, high-fidelity design artifacts in HTML — landing pages, slide decks, interactive prototypes, animated videos, posters, wireframes, and visual explorations. Use whenever the user asks to design, mock up, prototype, visualize, storyboard, or explore UI options — including phrases like "make a deck", "design a landing page", "prototype this flow", "animate this concept", "build a pitch deck", "create a poster", "visualize this idea", or "design something for a brand". Enforce...

Docker containerization best practices for building, securing, and deploying containers.

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.

LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.

MongoDB development guidelines with Payload CMS, Mongoose, aggregation pipelines, and TypeScript best practices.

Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.

Provides comprehensive guidance for Playwright testing including browser automation, test writing, page objects, and cross-browser testing. Use when the user asks about Playwright, needs to write E2E tests, automate browsers, or test web applications across browsers.

Prisma Client API reference covering model queries, filters, operators, and client methods. Use when writing database queries, using CRUD operations, filtering data, or configuring Prisma Client. Triggers on "prisma query", "findMany", "create", "update", "delete", "$transaction".

Guides for configuring Prisma with different database providers (PostgreSQL, MySQL, SQLite, MongoDB, etc.). Use when setting up a new project, changing databases, or troubleshooting connection issues. Triggers on "configure postgres", "connect to mysql", "setup mongodb", "sqlite setup".

Provides comprehensive guidance for pytest testing framework including test writing, fixtures, parametrization, mocking, and plugins. Use when the user asks about pytest, needs to write Python tests, use pytest fixtures, or configure pytest for Python projects.

Implement secure secrets management for CI/CD pipelines using Vault, AWS Secrets Manager, or native platform solutions. Use when handling sensitive credentials, rotating secrets, or securing CI/CD environments.

Supabase development guidelines for database, authentication, real-time subscriptions, and Edge Functions.

Expert system design coach for architecture and interviews. Use when the user says "system design", "design [a system]", "HLD", "LLD", "high-level design", "low-level design", "distributed systems", "consistent hashing", "CAP theorem", "caching strategy", "load balancing", "database sharding", "design Uber", "design Twitter", "design Tinder", "design YouTube", "design a URL shortener", "design autocomplete", "design interview", "back-of-envelope estimation", or asks about scalability, replica...

Provides comprehensive guidance for Vitest testing framework including fast test execution, Vite integration, component testing, mocking, and configuration. Use when the user asks about Vitest, needs to write fast unit tests, test Vue/React components, or configure Vitest with Vite projects.

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.