Skill UI

This skill provides a comprehensive and isolated setup for managing Deepgram API integrations across different deployment stages (Development, Staging, Production). It includes typed configuration management, a client factory pattern, and Docker Compose profiles, ensuring that each environment uses specific credentials, models, and feature settings (like diarization or PII redaction) without conflict. Ideal for robust, multi-stage application deployment.

A comprehensive expert for configuration management, specializing in validating, testing, and ensuring the correctness of application settings. It creates robust validation schemas (e.g., JSON Schema) and performs critical checks, including identifying potential security secrets (API keys, passwords), ensuring data consistency across different environments (development, staging, production), and enforcing type safety for reliable deployments.

A comprehensive, end-to-end workflow bundle guiding developers through the entire software development lifecycle. It covers project scaffolding, frontend development (React/Next.js), robust backend architecture, database design, rigorous testing (TDD, E2E), code quality review, and modern CI/CD deployment practices for web and mobile applications.

This skill defines a senior engineer specializing in the entire software development lifecycle (SDLC). It covers building robust CI/CD pipelines (e.g., GitHub Actions), containerizing applications with Docker, and managing infrastructure using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Key areas include Kubernetes deployment (GitOps), cloud platform configuration (AWS/GCP/Azure), release automation, and incident response planning.

This skill provides deep expertise in building robust Django web applications and powerful RESTful APIs using Django REST Framework (DRF). It covers designing optimized Django models with proper indexes, implementing serializers and viewsets, optimizing ORM queries (select_related/prefetch_related), and setting up secure authentication (JWT). Ideal for full-stack backend development tasks requiring production-grade reliability.

An expert AI assistant specializing in modern Django 5.x development. It provides best practices, architectural guidance, and actionable steps for building scalable, secure, and highly performant web applications. Expertise covers async views, DRF, Celery, Channels, and comprehensive CI/CD integration. Use this when building enterprise-grade Django systems.

This skill guides the development of production-grade APIs, MCP servers, and enterprise backends using modern C#/.NET best practices. It covers essential architectural components such as dependency injection (DI), advanced caching strategies (e.g., Redis), data access optimization with EF Core/Dapper, and implementing resilience patterns, ensuring robust and scalable software design.

This skill provides expert guidance for building robust, scalable, and fault-tolerant applications using Elixir. It specializes in mastering OTP patterns, Phoenix LiveView, concurrent programming, and distributed system design. Use it for complex Elixir development tasks requiring best practices and high reliability.

This guide provides a comprehensive setup for a fast and reproducible local development workflow tailored for Exa API integrations. It covers establishing optimal project structure, implementing detailed unit tests using mock responses, and setting up robust integration tests. Ideal for developers who need to rapidly build, test, and iterate on applications relying on Exa's search and content fetching capabilities.

A comprehensive guide to implementing production-ready patterns for the Exa-js SDK. Covers critical architectural concerns such as client singletons, type-safe wrapper functions, advanced error handling, exponential backoff retry logic, and robust response validation using Zod. Use this when integrating Exa APIs into large-scale applications or establishing team coding standards for maximum stability and maintainability.

Guides finishing a development branch by verifying tests, presenting four structured options (merge, push/PR, keep, discard), and cleaning up worktrees only when appropriate so completed work integrates safely.

This skill guides the end-to-end development, deployment, and secure integration of complex AI features into Firebase applications. It covers setting up Cloud Functions, Firestore/Storage rules, Authentication, and connecting robustly with Vertex AI/Gemini for advanced AI capabilities. Focuses on building production-grade, highly secure, data-intensive AI systems.