发现api development类别的 Claude 技能。浏览 70 个技能,找到适合您 AI 工作流程的完美功能。
Implements modern Go 1.18+ design patterns, generics, and idiomatic coding practices to ensure high-quality, maintainable code.
Architects durable, fault-tolerant distributed systems using Temporal-inspired workflow patterns and best practices.
Builds and debugs enterprise-grade telephony, messaging, and AI voice applications using modern SignalWire APIs and SWML.
Builds production-ready Node.js backend services using modern frameworks, architectural patterns, and security best practices.
Guides developers through the end-to-end process of building high-quality Model Context Protocol (MCP) servers for Python and TypeScript.
Streamlines the creation and integration of Next.js server actions using next-safe-action and specialized hooks for robust error handling and state management.
Automates the transition of codebases and prompts from previous Claude versions to the Opus 4.5 model.
Integrates and manages Model Context Protocol (MCP) servers within the Gemini CLI ecosystem to extend AI capabilities.
Builds robust, protocol-compliant Model Context Protocol (MCP) servers using the TypeScript SDK.
Generates production-ready Flask REST APIs with automatic OpenAPI documentation, modular blueprint architecture, and type-safe dataclass models.
Implements a robust error handling strategy by segregating domain-specific typed errors using thiserror and application-level context with anyhow.
Launches and manages a local Go-based Reddit API server with automated logging and test authentication.
Implements resilient, high-capacity file transfer systems using chunking, progress tracking, and checksum verification.
Designs robust, language-independent data structures and API specifications using JSON Schema and OpenAPI standards.
Designs and implements modular application logic functions following clean architecture and single responsibility principles.
Standardizes business logic facades by enforcing strict conventions for transaction handling, cache integration, and Sentry-monitored error management.
Implements standardized layered architecture and best practices for Node.js, Express, and TypeScript microservices.
Provides a complete, self-contained template for building applications with best practices for setup, database integration, testing, and deployment.
Builds, manages, and deploys custom extensions for the Gemini CLI ecosystem using official documentation and best practices.
Enforces best practices and architectural consistency for Node.js, Express, and TypeScript microservices.
Implements type-safe, reactive state management for React applications using the Effect-TS ecosystem.
Builds and manages serverless backend infrastructure, database schemas, and REST APIs using Xano's no-code platform and MCP integration.
Streamlines the creation of FastAPI endpoints with built-in support for asynchronous background tasks and Pydantic data validation.
Automatically generates capability manifests for skills and MCP servers using semantic analysis and structured extraction.
Tests authenticated API routes in a microservices project using cookie-based JWTs, a helper script, and mock authentication patterns.
Generates complete, production-ready Model Context Protocol (MCP) servers with automated setup, tool implementation, and seamless Claude Code integration.
Provides a comprehensive framework for designing, implementing, and evaluating high-quality Model Context Protocol (MCP) servers.
Builds production-ready MCP servers using FastMCP v2 with advanced context optimization and progressive disclosure patterns.
Guides the creation of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.
Guides the creation of high-quality Model Context Protocol (MCP) servers to enable seamless LLM interaction with external APIs and services.
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