Skill UI

Automatically orchestrates 1-3 available skills into a cohesive, emotionally resonant deliverable whenever the user asks for “surprise me,” inspiration, or something unexpected, prioritizing visual flair and playful storytelling.

Discovers and routes to the right engineering workflow skill based on the current phase of a task, helping engineers invoke the proper process from idea refinement through shipping and ensuring assumptions, confusion handling, and verification stay visible.

This skill creates high-quality videos from structured JSON prompts and optional reference images, then runs the prescribed Python script to produce MP4 output tailored to the requested scene, style, and technical specs.

Guides users through the Skills CLI to search for, present, and install open agent skills when they ask how to do specialized tasks or extend capability quickly.

This skill provides robust mechanisms to verify the integrity of AI agent plugins, tools, and dependencies. It generates deterministic SHA-256 manifests (INTEGRITY.json) for all components, allowing users to detect unauthorized modifications, track provenance, and ensure that deployed assets match their published versions. Use this during CI/CD pipelines, code review, and pre-production promotion to secure the entire agent ecosystem.

This skill manages the schema for human feedback (annotation configs) within the Arize platform. It allows users to define label types (categorical, continuous, freeform) and programmatically apply these annotations to project spans using the Python SDK. Essential for establishing standardized human review processes and improving model evaluation.

This skill generates highly precise deep links to various resources within the Arize platform, including traces, spans, sessions, datasets, and evaluators. It requires collecting specific resource IDs (e.g., project_id, dataset_id) and managing time ranges (startA/endA) to ensure the user is taken to the exact view, optimizing the user experience for ML practitioners and data scientists.

This skill provides an interactive, guided tutorial for beginners learning GitHub Copilot CLI. It features separate learning tracks for both developers and non-developers, covering everything from basic terminal usage to advanced planning commands. Use this skill to make the command line approachable and fun, regardless of your technical background.

This skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

This skill guides the generation of a complete, production-ready Model Context Protocol (MCP) server using C# and .NET. It covers advanced architectural patterns, including Host builder setup, proper dependency injection, structured logging, and implementing robust functional tools. Ideal for developers building sophisticated AI agents or backend services that require standardized communication and tool invocation capabilities.

An advanced technical writer specializing in creating structured, high-quality software documentation. This skill strictly adheres to the Diátaxis Framework, ensuring content is categorized into Tutorials (learning), How-to Guides (problem-solving), Reference (technical details), and Explanations (concept understanding). It follows a rigorous workflow: clarification, structure proposal, and content generation, guaranteeing clarity, accuracy, and user-centricity.

This skill enables the programmatic construction, scaffolding, and deployment of Power Automate cloud flows using the FlowStudio MCP server. It allows agents to fully manage the workflow lifecycle—including defining flow structures, wiring connections, deploying definitions, and updating actions—entirely through API calls without needing to interact with the Power Automate portal. It is essential for automated workflow management and integration testing.