Skill UI

Checks website, GitHub, and local docs to identify messaging inconsistencies and captures version, feature, terminology, and contact differences in a read-only discrepancy report whenever a consistency check is requested.

Java SDK for Azure Cosmos DB that orchestrates NoSQL operations with reactive patterns, multi-model support, and global distribution, covering client setup, CRUD flows, queries, and consistency/partition guidance for modern cloud apps.

This skill functions as a documentation expert, generating comprehensive, maintainable technical documentation (including API docs, architecture diagrams, and user guides) directly from source code. It leverages AI-powered analysis and industry best practices to ensure consistency and create 'living documentation' that stays synchronized with code changes, making it ideal for complex software projects.

Validates Conductor project artifacts for completeness, consistency, and correctness so you can detect gaps after setup, while diagnosing issues, or before implementation to ensure accurate project context.

Validates application configurations by analyzing files, enforcing JSON/typed schemas, checking secrets, and ensuring consistency and security across environments.

Apply production-ready Documenso SDK patterns for TypeScript and Python integrations, ensuring team coding standards, async/await consistency, and robust error handling across document workflows and refactors.

Guides teams building event-sourced and CQRS systems by defining immutable events, projection workflows, and sagas so you can meet audit-trail, temporal-query, and eventual-consistency goals in complex domains.

Provides Linear integration patterns for full and incremental issue synchronization, backup/export workflows, consistency monitoring, and conflict resolution so teams can keep distributed data aligned and recoverable.

Generate and refine Mermaid diagrams (flowcharts, sequences, ERDs, architectures, Gantt) with expert guidance on type selection, styling consistency, accessibility, and delivery, including code, rendering tips, and alternative views.

This skill provides patterns and implementation templates for managing complex, long-running business processes across multiple independent services. It focuses on implementing the Saga pattern, ensuring data consistency in microservices architectures. It defines clear states, handles step execution, and crucially includes compensation logic to reliably roll back changes when any part of the workflow fails.

This library provides production-ready, reusable patterns for provisioning common cloud infrastructure components. It offers standardized, well-tested Terraform modules for AWS, Azure, and GCP, ensuring consistency and best practices when implementing Infrastructure as Code (IaC). Use this skill when building scalable, multi-cloud, and complex standardized infrastructure components.

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.