Skill UI

An expert resource for optimizing, securing, and deploying containerized applications. Covers multi-stage Dockerfile builds, container security hardening (non-root users, secrets), advanced Docker Compose orchestration, and best practices for production-ready CI/CD pipelines.

Provides containerized development patterns for Docker and Docker Compose, covering local dev stacks, networking, volume management, security hardening, and multi-service orchestration best practices.

This skill guides the planning and execution of complex business domains using Domain-Driven Design (DDD) principles. It helps developers move from strategic modeling (defining subdomains and bounded contexts) to tactical implementation patterns like CQRS, Event Sourcing, and Saga orchestration. Use it when dealing with complex, high-variability business rules and needing explicit architectural boundaries.

This comprehensive workflow guides the entire lifecycle of building a complex full-stack feature, from initial architectural design to final integration testing. It enforces an API-first approach, ensuring that the database schema, backend services, and frontend components are developed cohesively, promoting scalability, testability, and adherence to modern industry best practices.

This skill orchestrates a comprehensive, multi-stage Git development workflow, simulating the process from code commit to PR preparation. It leverages specialized AI agents (code reviewers, test automators, prompt engineers) to systematically enforce best practices. Key functions include code quality assessment, breaking change analysis, running unit/integration/E2E tests, and generating Conventional Commit messages, ensuring code readiness and high quality before merging.

Guides using Rube MCP and Composio’s Hystruct toolkit to automate Hystruct workflows, covering tool discovery, connection checks, execution patterns, and schema compliance for reliable task orchestration.

This skill outlines a comprehensive, multi-agent orchestration workflow designed for sophisticated production issue resolution. It systematically combines AI code assistants, observability platforms (like Sentry/DataDog), and automated techniques (e.g., git bisect, distributed tracing) into a rigorous four-phase process: Issue Analysis, Root Cause Investigation, Fix Implementation, and Verification. It guides best practices for reducing Mean Time To Recovery (MTTR) and improving system resilience in complex, multi-system environments.

This blueprint provides a scalable, production-grade reference architecture for advanced LLM applications using LangChain. It guides the implementation of layered design, provider abstraction (allowing seamless switching between LLMs like OpenAI and Anthropic), dynamic chain registry, robust RAG pipelines, and complex multi-agent orchestration. Ideal for building enterprise-level, maintainable, and highly flexible AI systems.

Guides designing robust microservices with service boundaries, event-driven communication, saga orchestration, API gateways, health checks, and anti-pattern awareness for resilient distributed systems.

Automates Openrouter workflows using Rube MCP’s Composio toolkit, walking through tool discovery, connection checks, and schema-compliant execution for reliable orchestration.

This skill implements a sophisticated, config-driven rules engine for OpenRouter API calls. It dynamically determines the optimal large language model (LLM) by evaluating a comprehensive context, including user subscription tier, remaining cost budget, specific task type (code, chat), required tools, and latency requirements. This is essential for building production-grade, cost-aware, and robust LLM orchestration systems.

Orchestrates complex multi-stage deployment pipelines by generating production-ready configs and setup code based on user requirements, ideal for automating CI/CD and reliable software releases.