Skill UI

Generates a complete, compilable xUnit integration test project structure for validating complex database migrations, specifically from Oracle to PostgreSQL, within .NET solutions. This scaffolding includes a transaction-rollback base class and a seed data manager, ensuring a robust environment for writing migration integration tests without requiring test cases. Ideal for setting up testing infrastructure before migration validation.

A comprehensive automation toolkit for managing Sentry error tracking and monitoring operations. Users can programmatically investigate issues, configure project-level alert rules, manage release versions, and monitor organizational structure. Essential for DevOps and development teams needing deep integration and programmatic control over error data.

This skill provides comprehensive, programmatic automation capabilities for the Telegram platform via Rube MCP. Users can manage virtually every aspect of Telegram interaction, including sending various media types (text, photos, documents), retrieving detailed chat information, listing members, editing and deleting messages, and setting custom bot commands. It is essential for building sophisticated, automated bot workflows and integrations.

Applies proven testing patterns (AAA, Given-When-Then, builders, spies, doubles) to help write maintainable unit, integration, and end-to-end suites, covering structuring, naming, TDD/BDD, and mocks across frameworks like Jest, Vitest, or pytest.

Automate Trello boards, cards, lists, members, and workflows through Composio’s Rube MCP integration, orchestrating creation, movement, assignment, search, comments, and attachments programmatically.

Implements verification gates as explicit phase checkpoints, producing acceptance checklists, CI gate configs, and manual approval rules so teams catch defects before phase transitions, covering requirements, design, implementation, integration, and deployment.

This skill helps developers accurately find and explore the correct Windows API for specific platform capabilities, such as file access, camera usage, notifications, or UI controls. It searches a comprehensive local cache of WinMD metadata, providing full technical details including methods, properties, events, and enumeration values for APIs sourced from the Windows Platform SDK and WinAppSDK. It is indispensable when building complex features requiring deep integration with the Windows operating system.

This skill guides developers through the final stages of a development branch workflow. It enforces critical best practices by requiring a test verification step before presenting structured options. Users can choose between local merging, creating a Pull Request (PR), retaining the branch state, or safely discarding the work, ensuring a clean and repeatable integration process.

This guide provides a comprehensive overview of KubeSphere's DevOps capabilities, covering CI/CD pipeline setup, Jenkins integration, and GitOps deployment using ArgoCD. Learn how to automate builds, testing, and multi-cluster deployments within a Kubernetes environment, making it essential for managing modern software release pipelines and troubleshooting complex DevOps workflows.

This skill guides users on operating the FrontendIntegration resources and the associated frontend-forge extension using kubectl. It covers the full lifecycle management: creating FI from complete YAML, updating status, enabling/disabling, troubleshooting build output, and managing the extension's installation plan. Ideal for DevOps engineers responsible for robust CI/CD pipeline management.

This tool generates canonical, submit-ready FrontendIntegration YAML from a simplified, single-menu authoring model. It is ideal for converting preliminary configurations (like those derived from a CRD) into the full, structured YAML required for deploying frontend integrations, ensuring all fields and placements are correctly mapped.

This coach guides users through a progressive mastery of AI, structured across three layers: AI User (prompting), AI-Enhanced Worker (workflow integration), and AI Builder (ML foundations). It uses Socratic questioning, layered scaffolding, and spaced repetition to build genuine, transferable AI literacy, moving beyond simple copy-pasting prompts to deep conceptual understanding of models, transformers, and RAG.