api development向けのClaudeスキルを発見してください。83個のスキルを閲覧し、AIワークフローに最適な機能を見つけましょう。
Implements robust error handling strategies across multiple programming languages to improve application reliability and developer experience.
Implements robust distributed system patterns including service decomposition, event-driven messaging, and fault-tolerant communication.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and scalable architecture.
Implements robust error handling strategies and resilient architectural patterns across multiple languages to enhance application reliability.
Implements secure access control systems using industry-standard patterns like JWT, OAuth2, and Role-Based Access Control (RBAC).
Implements high-performance asynchronous Python patterns using asyncio and concurrent programming techniques.
Implements robust error handling strategies and resilience patterns across multiple programming languages to build fault-tolerant applications.
Implements high-performance Python applications using asyncio, concurrent programming patterns, and non-blocking I/O strategies.
Integrates Langdock's AI assistants, knowledge retrieval, and RAG pipelines into custom applications using Python or Node.js.
Manages data persistence and session tracking for OpenAI Apps SDK widgets across conversation turns.
Guides the creation of robust, secure, and well-documented MCP tools for the OpenAI Apps SDK using standardized schemas and behavioral hints.
Streamlines the creation of production-ready Langdock integration actions using standardized patterns for API authentication, request handling, and metadata formatting.
Manage Langdock assistants, knowledge folders, and usage analytics through specialized API integrations and CLI tools.
Provides architectural guidance and implementation patterns for building Model Context Protocol (MCP) servers with the OpenAI Apps SDK.
Optimizes Langdock action performance by implementing parallel API execution patterns and fault-tolerant request handling.
Implements production-ready Node.js backend services using Express or Fastify with industry-standard architectural patterns and TypeScript.
Builds high-performance, memory-safe applications using modern Rust 1.92+ patterns including Axum, Tokio, and SQLx.
Optimizes data structures and serialization patterns to maximize LLM token efficiency and application performance.
Streamlines modern JavaScript development with expert guidance on ES2024+ features, cross-runtime compatibility, and high-performance backend frameworks.
Accelerates full-stack development using TypeScript 5.9, React 19, and Next.js 16 with rigorous type-safe API patterns.
Guides the end-to-end development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external services.
Implements scalable layered architecture for FastAPI projects using SQLAlchemy 2.0 and dependency injection.
Designs and reviews high-level system architectures for Python backend projects using FastAPI and SQLAlchemy 2.0.
Implements robust Python type annotations and structural subtyping to eliminate type errors without using suppressions like type: ignore.
Integrates Model Context Protocol (MCP) servers into Claude Code plugins to extend AI capabilities with external tools and data sources.
Generates production-ready FastAPI project structures featuring asynchronous patterns, dependency injection, and scalable repository architectures.
Architects intuitive and scalable REST and GraphQL interfaces using industry-standard patterns for pagination, error handling, and resource management.
Implements Command Query Responsibility Segregation patterns to build scalable, high-performance backend architectures.
Implements robust microservices architectures using service decomposition, event-driven communication, and distributed resilience patterns.
Implements reliable saga patterns for managing distributed transactions and complex cross-aggregate workflows in microservices architectures.
Scroll for more results...