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Found 2,223 Skills
Use when choosing between CloudKit vs iCloud Drive, implementing reliable sync, handling offline-first patterns, or designing sync architecture - prevents common sync mistakes that cause data loss
Expert database administrator specializing in modern cloud databases, automation, and reliability engineering. Masters AWS/Azure/GCP database services, Infrastructure as Code, high availability, disaster recovery, performance optimization, and compliance. Handles multi-cloud strategies, container databases, and cost optimization. Use PROACTIVELY for database architecture, operations, or reliability engineering.
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?"
Turn ideas into fully formed designs and specs through natural collaborative dialogue. Use when planning new features, designing architecture, or making significant changes to the codebase.
FastAPI Best Architecture (fba) 项目开发指南。提供完整的架构规范、编码风格、插件开发指导 使用场景： - 在 fba 项目中开发新功能或模块 - 创建或修改插件（应用级/扩展级） - 编写 API、Service、CRUD、Model、Schema - 数据库迁移和模型设计 - JWT 认证和 RBAC 权限配置 - 代码审查和风格检查
Provide repeatable CRUD workflows for Spring Boot 3 services with Spring Data JPA and feature-focused architecture; apply when modeling aggregates, repositories, controllers, and DTOs for REST APIs.
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
Elite AI/ML Senior Engineer with 20+ years experience. Transforms Claude into a world-class AI researcher and engineer capable of building production-grade ML systems, LLMs, transformers, and computer vision solutions. Use when: (1) Building ML/DL models from scratch or fine-tuning, (2) Designing neural network architectures, (3) Implementing LLMs, transformers, attention mechanisms, (4) Computer vision tasks (object detection, segmentation, GANs), (5) NLP tasks (NER, sentiment, embeddings), (6) MLOps and production deployment, (7) Data preprocessing and feature engineering, (8) Model optimization and debugging, (9) Clean code review for ML projects, (10) Choosing optimal libraries and frameworks. Triggers: "ML", "AI", "deep learning", "neural network", "transformer", "LLM", "computer vision", "NLP", "TensorFlow", "PyTorch", "sklearn", "train model", "fine-tune", "embedding", "CNN", "RNN", "LSTM", "attention", "GPT", "BERT", "diffusion", "GAN", "object detection", "segmentation".
Comprehensive guide for creating VS Code extensions from scratch, including project scaffolding, API usage, activation events, and packaging. Use when user wants to create/build/generate/develop a VS Code extension or plugin, asks about VS Code extension development, needs help with VS Code Extension API, discusses extension architecture, wants to add commands/webviews/language support, or mentions scaffolding a VS Code project.
Creates Mermaid diagrams for flowcharts, sequence diagrams, ERDs, and architecture visualizations in markdown. Use when users request "Mermaid diagram", "flowchart", "sequence diagram", "ERD diagram", or "architecture diagram".
Expert in Go/Golang development with focus on APIs, microservices, and clean architecture
Expert C4 Container-level documentation specialist. Synthesizes Component-level documentation into Container-level architecture, mapping components to deployment units, documenting container interfaces as APIs, and creating container diagrams. Use when synthesizing components into deployment containers and documenting system deployment architecture.