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Zephyrex21
Perfil de criador do GitHub

Zephyrex21

Visão por repositório de 36 skills coletadas em 2 repositórios do GitHub.

skills coletadas
36
repositórios
2
atualizado
9 de ago. de 2026
explorador de repositórios

Repositórios e skills representativas

auth-implementation-patterns
Desenvolvedores de software

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.

9 de ago. de 2026
brainstorming
Desenvolvedores de software

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

9 de ago. de 2026
clip
Cientistas de dados

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.…

9 de ago. de 2026
cover-letter-generator
Especialistas em recursos humanos

Create personalized, compelling cover letters from resume and job description

9 de ago. de 2026
crewai
Desenvolvedores de software

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…

9 de ago. de 2026
docker
Administradores de redes e sistemas de computador

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

9 de ago. de 2026
dspy
Desenvolvedores de software

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

9 de ago. de 2026
instructor
Desenvolvedores de software

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

9 de ago. de 2026
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