Skill UI

This skill simplifies the process of creating production-grade Model Context Protocol (MCP) servers. Instead of manually writing tool wrappers, it consumes standard OpenAPI specifications to generate complete server scaffolds in Python or TypeScript. It enforces schema validation, manages versioning, and ensures safe, maintainable integration points for LLM agents and AI tools.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

This guide provides a detailed template and directive for generating machine-readable, deterministic implementation plans. It is designed for complex software development tasks, such as adding new features, refactoring existing code, or designing system architecture. The output ensures that all steps are atomic, measurable, and structured for autonomous execution by AI agents or human teams, minimizing ambiguity and dependency.