Descubre Habilidades de Claude para api development. Explora 83 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Streamlines the creation of high-performance JavaScript classes in C++ using the JavaScriptCore engine.
Generates high-performance JavaScriptCore class bindings from Zig implementations using Bun's codegen tools.
Facilitates the creation and integration of new administrative API endpoints within the Ghost publishing platform.
Migrates codebases and prompts from previous Claude models to Opus 4.5 by updating model strings and refining system instructions for optimal performance.
Streamlines the addition of Malli validation schemas to Metabase API endpoints using standardized patterns and best practices.
Guides Clojure and ClojureScript development using REPL-driven workflows, structural editing, and idiomatic coding conventions.
Implements scalable backend architecture, API design best practices, and database optimization for Node.js and Next.js applications.
Enforces professional Java 17+ and Spring Boot standards for readable, maintainable, and type-safe backend services.
Architects production-grade Java Spring Boot backends using industry-standard patterns for REST APIs, data persistence, and service layers.
Implements production-ready Django and Django REST Framework architecture using industry-standard best practices.
Implements idiomatic Go design patterns and conventions to build robust, efficient, and maintainable applications.
Integrates over 100 cryptocurrency exchange APIs into Go applications using a unified REST and WebSocket interface.
Implements scalable backend architectures, API design best practices, and optimized database patterns for Node.js and Next.js applications.
Generates and maintains professional API reference documentation for the Medusa commerce platform using standardized MDX patterns and React components.
Applies fundamental software design principles like KISS, SRP, and composition to build maintainable and scalable Python applications.
Implements robust Python error handling strategies including input validation, exception hierarchies, and graceful partial failure management.
Implements efficient background job patterns and task queues to handle asynchronous processing and long-running operations in Python applications.
Implements fault-tolerant patterns like automatic retries and exponential backoff to build robust, self-healing Python applications.
Streamlines Python application configuration using environment variables and Pydantic-based typed settings for robust, environment-agnostic code.
Implements enterprise-grade C#/.NET architectural patterns for robust APIs, MCP servers, and backend services.
Implements high-performance search experiences using Algolia, React InstantSearch, and optimized indexing strategies.
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