Skill UI

Guides creation of C4 container-level documentation for system deployment workflows, including container descriptions, interfaces, dependencies, infrastructure, and API specifications tailored to Kubernetes, Docker, or cloud deployments.

Generates reusable Terraform modules based on user specifications by invoking the terraform-module-builder plugin to produce production-ready configurations that include documentation, security safeguards, and scalable patterns whenever an infrastructure-as-code structure is requested.

Guides structured requirements workshops to capture feature specifications, user stories, EARS-format functional requirements, acceptance criteria, and implementation checklists for planning new development.

Generates production-ready Terraform, CloudFormation, Pulumi, ARM, or CDK templates via the infrastructure-as-code-generator plugin to automate cloud infrastructure deployment across AWS, Azure, and GCP from user specifications.

This skill provides comprehensive patterns for creating, maintaining, and validating OpenAPI 3.1 specifications for RESTful APIs. It supports generating specs from existing codebases, implementing design-first approaches, and ensuring robust API contract compliance. Ideal for creating detailed API documentation, generating client SDKs, or setting up centralized API portals.

A comprehensive toolset for the full backend development lifecycle. This suite enables developers to scaffold API routes from OpenAPI specifications, manage complex database migrations and optimization (PostgreSQL), and perform rigorous load/performance testing. It supports building robust microservices, securing REST APIs, and ensuring system scalability.

A specialist tool designed to reverse-engineer and extract structured specifications from existing, undocumented, or legacy codebases. It maps code dependencies, identifies undocumented business logic, generates API documentation, and helps create comprehensive architecture documentation by adhering to established formats like EARS. Ideal for onboarding new team members or documenting crucial system components.

Verifies that blockchain code precisely implements documented specifications by comparing logic, invariants, flows, and assumptions against whitepapers or design documents, flagging undocumented behavior, mismatches, and compliance gaps during audit engagements.

This skill provides comprehensive guidance for managing the entire lifecycle of Conductor tracks. Tracks are the core logical work units used to organize features, bugs, and refactors. Use this when initiating new features, writing detailed specifications (spec.md), developing execution plans (plan.md), or tracking changes through their complete lifecycle.

A powerful tool designed to scaffold and generate production-ready MCP servers directly from OpenAPI specifications. It treats OpenAPI as the single source of truth, automatically converting API paths and operations into standardized tool definitions. Supports both Python and TypeScript implementations, ensuring schema consistency, robust validation, and safe versioning for exposing internal APIs to LLM agents and other services.

Verifies that blockchain smart contract implementations match provided specifications, guiding auditors through documentation-to-code comparisons to spot missing functionality, undocumented behavior, or compliance gaps during protocol reviews.

This advanced prompt acts as a structured guide for generating comprehensive, enterprise-grade technical implementation plans. It forces the detailed breakdown of a feature based on a PRD, covering system architecture (Mermaid diagrams), database schema design, API specifications, frontend component hierarchy, and deployment strategies, all while adhering to a monorepo structure. Ideal for large-scale SaaS development.