Discover Agent Skills for api development. Browse 83 skills for Claude, ChatGPT & Codex.
Evaluates architectural plans across five critical dimensions to prevent technical debt and scalability issues before implementation.
Provides comprehensive, production-ready design patterns and architectural standards for REST, GraphQL, and gRPC services.
Implements production-ready tool calling patterns and structured output schemas for AI agents.
Implements Domain-Driven Design (DDD) aggregate patterns to manage consistency boundaries and business invariants in complex backend systems.
Guides system architecture planning through structured questions across scalability, security, data, and operational dimensions.
Optimizes LLM token costs and latency by implementing provider-native prompt caching for Claude and OpenAI.
Implements robust API versioning patterns and lifecycle policies to ensure backward compatibility and smooth service evolution.
Builds type-safe, production-ready GraphQL APIs using the Strawberry library and FastAPI integration.
Implements Command Query Responsibility Segregation (CQRS) to optimize data access by separating read and write operations into distinct models.
Implements high-performance data fetching, caching, and optimistic UI updates using TanStack Query v5 best practices.
Implements high-performance microservice communication in Python using gRPC and Protobuf for robust, type-safe APIs.
Implements RFC 9457 Problem Details to provide standardized, machine-readable HTTP API error responses for modern backend services.
Enforces FastAPI Clean Architecture principles by validating layer separation and dependency injection patterns in real-time.
Implements Domain-Driven Design (DDD) aggregate patterns to maintain data consistency and enforce business invariants in complex backend systems.
Implements production-grade fault tolerance and reliability patterns for distributed systems and LLM integrations.
Implements Domain-Driven Design tactical patterns to model complex business logic using entities, value objects, and bounded contexts.
Standardizes the architecture and implementation of production-grade REST, GraphQL, and gRPC APIs using industry best practices.
Manages persistent workflow states, fault-tolerant execution recovery, and multi-threaded conversation memory for LangGraph agents.
Implements robust idempotency and deduplication patterns for APIs and distributed systems to ensure exactly-once execution.
Implements high-performance Python concurrency using modern structured patterns, TaskGroups, and robust error handling for Python 3.11+ applications.
Implements robust API versioning patterns and lifecycle policies for evolving production-grade REST services.
Implements production-grade fault tolerance and resilience patterns for distributed systems and LLM-based workflows.
Implements end-to-end type safety and runtime validation using Zod, tRPC, Prisma, and advanced TypeScript patterns.
Orchestrates durable, fault-tolerant distributed applications using Temporal.io for complex, long-running business processes.
Manages system architecture changes through automated impact analysis, ADR generation, and phased migration planning.
Identifies breaking changes and validates GraphQL schema migrations across branches, files, and live endpoints.
Validates GraphQL operations against schemas while enforcing performance and complexity constraints.
Analyzes GraphQL operations to identify complexity metrics, query depth issues, and potential performance bottlenecks.
Accelerates the creation and deployment of Model Context Protocol (MCP) servers using Python and TypeScript.
Executes raw EVM transactions and custom contract calls across multiple blockchains using the Bankr DeFi infrastructure.
Scroll for more results...