发现api development类别的 Claude 技能。浏览 83 个技能,找到适合您 AI 工作流程的完美功能。
Optimizes agent-tool interfaces through consolidation principles, architectural reduction, and precise Model Context Protocol standards.
Architects secure, high-performance GraphQL APIs with a focus on type safety, N+1 query prevention, and robust schema design.
Standardizes the implementation of data fetching, caching, and storage patterns for complex Next.js applications.
Generates type-safe TypeScript API clients, hooks, and schemas from OpenAPI or Swagger specifications.
Simplifies the creation, configuration, and orchestration of robust, schema-driven tools for Atomic Agents applications.
Optimizes agent-tool interfaces by applying consolidation principles, architectural reduction, and precise description engineering.
Reviews and optimizes RESTful API designs to ensure consistency, security, and adherence to industry standards.
Standardizes error management using trySync and tryAsync patterns for type-safe, graceful recovery in TypeScript.
Normalizes functions to accept both single items and arrays for flexible, type-safe API design and batch processing.
Implements type-safe error handling patterns for passing structured Rust errors to TypeScript in Tauri applications.
Standardizes code architecture using factory patterns to achieve clean dependency injection and modular service composition.
Generates minimal, production-ready Ruby gems using the battle-tested architectural patterns of Searchkick creator Andrew Kane.
Implements AI agent systems using a prompt-native philosophy where behavior is defined through natural language outcomes rather than rigid code workflows.
Simplifies building robust server-side mutations and form handling logic within Next.js App Router applications.
Builds high-quality Model Context Protocol (MCP) servers to connect AI agents with external APIs and services.
Simplifies the creation and management of Next.js API endpoints using the App Router convention and Web Request APIs.
Accesses authoritative OpenAI documentation and API specifications to ensure accurate implementation of OpenAI platform features.
Manages centralized API inventories and governance workflows using the Azure API Center SDK for .NET.
Generates standardized FastAPI routers with integrated CRUD operations, authentication dependencies, and validated response models.
Standardizes the development of high-quality Model Context Protocol (MCP) servers for seamless LLM integration with external services.
Simplifies authentication and user identification for Azure Communication Services in Java applications.
Manages API inventory, governance, and metadata within Azure API Center using the Python SDK.
Generates structured Pydantic v2 models using the multi-model pattern for robust API schemas and database documents.
Guides the conversion of OpenAI Apps SDK applications to the standardized Model Context Protocol (MCP) Apps SDK with comprehensive API mapping and security auditing.
Implements production-grade TypeScript and Node.js patterns for robust and scalable Lokalise SDK integrations.
Optimizes Gamma API integrations by reducing latency and increasing throughput through advanced configuration and caching strategies.
Implements event-driven architectures, real-time streaming, and asynchronous processing patterns for Groq's high-speed inference API.
Diagnoses and resolves common Documenso API errors, webhook failures, and integration issues within your development workflow.
Implements resilient Documenso API rate limiting, request throttling, and exponential backoff patterns to ensure reliable document signing workflows.
Optimizes Groq API integrations by implementing ultra-low-latency LPU inference strategies, semantic caching, and parallel orchestration.
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