Discover Agent Skills for api development. Browse 83 skills for Claude, ChatGPT & Codex.
Builds high-performance, memory-safe systems and concurrent applications using modern Rust and Tokio async runtimes.
Maps Braiins Pool API endpoints to standardized MCP tool implementations with robust authentication and error handling.
Executes local Nango sync tests to verify integration logic and data mapping without impacting production databases.
Verifies architecture design documents for completeness and identifies missing implementation details through automated gap analysis.
Facilitates multi-agent design debates between a Domain Architect and Best Practice Advisor to create optimal system blueprints.
Automates full-stack code implementation by translating architectural design documents into production-ready code using a multi-agent orchestration workflow.
Enforces robust security, validation, and multi-tenancy patterns for Next.js and backend API routes.
Streamlines the development of robust FastAPI backends using SQLModel and async service patterns for complex data processing.
Implements secure JWT-based authentication and user isolation for FastAPI backends using Better Auth shared secrets.
Validates software architectures by simulating extreme operational scales to uncover hidden bottlenecks, edge cases, and fundamental design flaws.
Implements enterprise-grade Python solutions using modern frameworks like FastAPI 0.115 and Django 5.2 with production-ready patterns.
Automates the creation of standardized backend services and routes following a modular controller-service architectural pattern.
Implements saga patterns to manage distributed transactions and maintain data consistency across microservices.
Streamlines Go development with idiomatic patterns, multi-build system support, and automated linting and testing workflows.
Generates .NET mediator patterns, handlers, and strongly-typed HTTP clients with integrated middleware for Shiny Mediator.
Generates structured implementation plans and TDD-focused roadmaps specifically for Elixir Ash Framework projects.
Generates structured API integration documentation from backend codebases designed specifically for consumption by frontend AI agents.
Builds high-performance, cloud-native applications using modern .NET 8+ and C# 12 features.
Implements production-grade SDK integration patterns for Retell AI using TypeScript and Python.
Facilitates the implementation of custom streaming protocols and backends for AI-powered chat interfaces.
Enforces clean architecture principles and dependency rules across backend, web, and mobile projects.
Enforces modern Python 3.10+ development standards, including type safety, async patterns, and high-performance tooling recommendations.
Implements production-grade Domain-Driven Design (DDD) patterns and Clean Architecture principles in .NET applications.
Implements tactical DDD patterns and clean architecture principles to build maintainable, decoupled Python backend systems.
Implements robust event-driven patterns including CQRS, Message Bus, and Domain Events for scalable Python applications.
Provides production-ready Python backend architectural patterns and copy-paste code snippets for scalable application development.
Generates type-safe Pydantic Settings configurations with YAML support for robust Python application management.
Guides the development of high-quality Model Context Protocol (MCP) servers to connect LLMs with external APIs and services.
Standardizes the development of Model Context Protocol (MCP) servers to seamlessly integrate external APIs and services with LLMs.
Implements maintainable Python code architectures using fundamental design principles like KISS, SRP, and composition.
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