api development Claude 스킬을 발견하세요. 83개의 스킬을 탐색하고 AI 워크플로우에 완벽한 기능을 찾아보세요.
Streamlines the creation, parameterization, and deployment of GraphQL queries and mutations for the Windmill platform.
Manages Model Context Protocol (MCP) servers to extend the Gemini CLI with custom tools, databases, and enterprise integrations.
Automates the upgrade of Spring Boot applications to version 4.0 and Java 25 using a structured, phased migration strategy.
Implements secure Vast.ai webhook integration with automated signature validation and event handling patterns.
Generates robust webhook endpoints featuring signature verification, automated retry logic, and payload validation.
Optimizes Lindy AI API usage by implementing client-side rate limiting, usage monitoring, and smart retry logic.
Validates API responses against schemas to ensure contract compliance and data integrity across various backend frameworks.
Implements production-ready Instantly SDK patterns for robust email outreach automation in TypeScript and Python.
Identifies and prevents common integration mistakes and anti-patterns when building with Exa APIs.
Implements robust rate limiting, exponential backoff, and idempotency patterns for the Fireflies.ai API.
Implements high-accuracy speech-to-text transcription workflows using the Deepgram Nova-2 model for pre-recorded audio files and URLs.
Optimizes cryptocurrency trades by aggregating prices across decentralized exchanges to minimize slippage and gas costs.
Accelerates Perplexity AI integration by establishing a high-velocity local development environment with hot-reloading and automated testing.
Deploys enterprise-grade architectural patterns and implementation blueprints for Juicebox-powered recruiting and people search applications.
Streamlines dependency injection configuration using Inversify v7 to wire repositories, services, and controllers efficiently.
Implements production-grade Django architecture, REST API design with DRF, and ORM best practices for scalable Python web applications.
Implements scalable server-side architectures and API best practices for Node.js, Express, and Next.js applications.
Standardizes Java backend development with production-grade Spring Boot architecture patterns, REST API designs, and resilient service layers.
Enforces modern Java 17+ coding standards and clean code patterns for Spring Boot applications.
Provides a comprehensive template for defining project-specific architecture, code patterns, and deployment workflows to ensure AI-driven development consistency.
Standardizes RESTful API architecture with industry best practices for naming, status codes, and scalable resource management.
Facilitates high-performance automated trading and wallet management on the DeepDex protocol using a specialized CLI and MCP server.
Implements validated architecture blueprints for Retell AI integrations, ranging from simple monoliths to enterprise-scale microservices.
Optimizes Perplexity API throughput and reduces latency using advanced caching, batching, and connection pooling strategies.
Streamlines the analysis and execution of Retell AI SDK upgrades by identifying breaking changes and automating code migrations.
Implements production-ready SDK patterns and best practices for robust OpenRouter API integrations.
Automates the installation and configuration of Retell AI SDKs and API authentication for Node.js and Python projects.
Automates the primary integration workflows for Perplexity AI services to streamline core feature development.
Implements scalable server-side patterns and best practices for Node.js, Express, and Next.js API development.
Architects consistent, developer-friendly REST APIs using production-grade design patterns and industry best practices.
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