Skill UI

Comprehensive patterns and tools for writing robust tests for F# applications within the modern .NET ecosystem. This guide covers unit testing (xUnit, FsUnit), property-based testing (FsCheck), mocking dependencies (NSubstitute), and full integration testing (WebApplicationFactory). Ideal for improving test coverage, validating complex business logic, and establishing a resilient testing infrastructure.

A comprehensive guide to Test-Driven Development (TDD) for Quarkus 3.x services, focusing on achieving high coverage (80%+). It covers unit testing with Mockito, integration testing of REST endpoints, and advanced testing of event-driven architectures using Apache Camel and RabbitMQ.

A comprehensive CI/CD pipeline for Quarkus applications, designed to verify code quality and deployment readiness. It covers all phases: build, static code analysis (SonarQube, Checkstyle), rigorous functional testing (Unit, Integration, API), security scanning (OWASP, dependency checks), native image compatibility testing, performance load testing (K6), and container image validation (Trivy, Grype).

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

This demo skill verifies the compatibility of MDA-compiled SKILL.md files within the Claude Code environment. It confirms that the skill's frontmatter, metadata structure, and allowed tools are correctly parsed and honored by the loader, ensuring smooth integration of compiled content into the agent workspace. It is a technical utility for development validation.

This skill serves as a compatibility test to ensure that skills compiled from MDA (Metadata Definition Architecture) sources are correctly recognized and installed by the OpenClaw platform. It validates the integrity of the skill loading process, confirming successful parsing and integration.

This skill demonstrates OpenCode's compatibility with MDA-compiled SKILL.md files. It verifies that the loader correctly parses crucial frontmatter fields (like name, description, and metadata) after the source has gone through the MDA compilation process, ensuring robust skill integration and data integrity.

A comprehensive REST API for sending and receiving multi-channel messages, including iMessage (blue bubbles), SMS, and RCS. This skill allows developers to integrate messaging capabilities into server-side applications, supporting advanced features such as group messaging, reactions, typing indicators, and status callbacks. It also handles inbound messages via webhooks, making it ideal for building robust, real-time communication services that require programmatic control over messaging lifecycles.

Manages the deployment of local applications and websites to the Vercel platform. This skill intelligently detects the project's current state (e.g., if it is already linked or if git is available) and guides the user through the optimal deployment method. It prioritizes establishing a permanent git-push connection to facilitate a seamless Continuous Integration/Continuous Deployment (CI/CD) workflow. Use when the user explicitly requests deployment actions.

This skill automates the debugging and fixing of failing Continuous Integration (CI) checks on GitHub PRs. It uses the GitHub CLI (gh) to locate failures, fetch detailed logs from GitHub Actions, summarize the failure context, and propose a structured fix plan. After user approval, it can implement the necessary code changes and verify the fix, streamlining the development cycle.

A meta-skill designed to monitor long-running processes, such as model fine-tunes or CI builds, executed within a detached tmux session. It captures output, automatically uses a sub-agent to diagnose failures, proposes a fix, and records the complete debugging process to memory. Ideal for intermittent failure debugging and continuous integration pipelines.

This comprehensive skill provides expert guidance for integrating with Google NotebookLM programmatically, covering both the `nlm` Command Line Interface (CLI) and Measurement/Control Plane (MCP) tools. Use it to automate workflows, manage notebooks, add diverse sources (URLs, YouTube, Drive), and generate various complex content types, such as reports, quizzes, mind maps, and videos. Essential for developers building upon NotebookLM's advanced research capabilities.