Skill UI

This meta-skill orchestrates the entire academic writing workflow, from initial requirement extraction (topic, length, audience) to drafting, citation management, and final LaTeX/PDF compilation. It supports various modes, including compact skeletons for quick drafts and full manuscripts for publication-ready work. Ideal for users needing structured help with research papers or academic manuscripts.

An internal utility designed to manage the entire lifecycle of meta-skill proposals within the opensquilla ecosystem. It allows developers to atomically write new skill proposals, list existing candidates, and formally accept them after passing rigorous gate checks (linting, smoke testing, E2E). This tool ensures structured and controlled deployment of new skills.

This skill provides comprehensive, expert guidance for utilizing the Fabric Command Line Interface (CLI) using the `fab` tool. It enables programmatic interaction with the entire Fabric and Power BI service cloud environment, including workspaces, semantic models, data assets, and configurations. Use it to automate tasks like authentication, metadata retrieval, data querying (DAX, T-SQL, DuckDB), and resource management, ensuring best practices and error handling are maintained.

Provides a comprehensive CLI reference for Tabular Editor 2 (TE2). It enables automated model management, including deployment to XMLA endpoints, running embedded scripts, performing Best Practice Analysis (BPA), and handling model exports (TMDL). This skill is essential for integrating data model lifecycle management into CI/CD pipelines and automating repetitive tasks from the command line.

Provides expert guidance for authoring and editing Tabular Model Definition Language (TMDL) files directly within PBIP projects. This skill is designed for advanced users needing to perform quick, text-level modifications—such as updating descriptions, fixing format strings, or defining measures—when full, dedicated tools (like Tabular Editor CLI) are unavailable. It details critical syntax rules, object nesting, and file structures for managing complex semantic models.

This skill generates a comprehensive risk register for projects, programs, or products. It applies standard risk management practices, including likelihood/impact scoring, RAG status, and detailed mitigation/contingency plans. Ideal for preparing reports for project boards, steering committees, and programme management offices.

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

This skill generates complete, production-grade client SDKs and API wrapper libraries for any REST API, regardless of the language (Python, TypeScript, etc.). It handles boilerplate code like authentication, retry logic (exponential backoff), data modeling, and structured resource management, saving significant development time. Use it whenever you need to consume a REST API via code.

This skill acts as a comprehensive maintenance orchestrator for the brooks-lint plugin repository. It executes a rigorous, sequential subagent pipeline—including authoring, evaluation, QA, trigger auditing, and release management. Use this when adding, editing, or updating skills to ensure all related components (manifests, README, CHANGELOG) are synchronized and adhere to strict quality gates throughout the development lifecycle.

This skill guides developers on building real-time, bidirectional, and multimodal streaming applications using the Gemini Live API. It covers low-latency voice, video, and text streaming over WebSockets, incorporating advanced features like Voice Activity Detection (VAD), function calling, and secure session management. Ideal for conversational AI, interactive video conferencing, and complex real-time user experiences.

This skill provides comprehensive access to the Hugging Face Hub ecosystem via MCP server tools. Users can search for state-of-the-art models, datasets, and research papers, retrieve detailed repository information, fetch documentation, run compute jobs on GPU/CPU, and interact with Gradio Spaces as fully functional AI tools. Ideal for ML development, research, and application prototyping.

A comprehensive guide and generator for writing robust, production-grade unit and integration tests using JUnit 5 in Java. It covers advanced features like parameterized tests, Mockito mocking, lifecycle management, and nested test structures. Use this skill when you need to write clean, reliable, and highly structured Java test suites.