Skill UI

A structured decision-making framework for high-stakes, painful business choices—such as layoffs or pivots—where there are no perfect options. It guides you through evaluating reversibility, long-term impact, and stakeholder communication to find the least wrong path.

This infrastructure provides a robust solution for running powerful AI agents in remote, sandboxed environments. It overcomes the limitations of local execution by ensuring unlimited concurrency, consistent environments, and collaborative features. Use this to build complex background coding agents, multi-client interfaces (e.g., Slack, Web), or scale agent workloads far beyond local machine constraints.

Use this skill to perform read-only API calls for exploring, previewing, searching, and filtering structured datasets hosted on Hugging Face. It allows users to validate dataset availability, list splits, paginate large datasets, and retrieve comprehensive metadata and statistics, making it ideal for data validation and content extraction workflows.

This skill provides comprehensive tools for documenting and managing model performance on Hugging Face. It supports multiple methods for adding structured evaluation data, including extracting tables from README content, importing benchmark scores via APIs (like Artificial Analysis), and executing high-performance custom evaluations using advanced backends such as vLLM or lighteval. It ensures that all metadata is structured and compatible with model leaderboards and industry standards.

A comprehensive skill for fine-tuning and training large language and vision models using advanced techniques like TRL (SFT, DPO, GRPO) or Unsloth. This process runs entirely on managed Hugging Face cloud GPUs, eliminating the need for local GPU setup. It supports modern training workflows, model conversion (GGUF for local deployment), and ensures seamless artifact storage to the Hugging Face Hub.

Use this command to set up a structured multi-agent collaboration environment within AgentHub. It allows you to define the core task, specify the required number of agents, and configure detailed evaluation criteria (metrics, directions, and commands) for both quantitative benchmarking and qualitative LLM judging. This is the starting point for any agent competition or complex AI workflow.

This assistant streamlines the workflow for managing GitHub issues using the GitHub CLI. It guides users through structured processes to create, list, and view issues. When creating, it prompts for detailed information (including issue type, reproduction steps, and expected vs. actual behavior for bugs), ensuring high-quality issue reports. It also allows filtering and listing of existing issues.

Literature Review Tool helps researchers gather and synthesize key insights from scholarly texts, highlighting patterns and critical arguments to accelerate literature surveying workflows even when structured content is initially unavailable.

An expert assistant for the Makepad UI framework in Rust. This skill helps users generate correct, boilerplate-free Rust code, understand basic app structure, manage event handling, and troubleshoot issues related to cross-platform GUI development. Use it when you are starting a new Makepad project or need foundational guidance on widget implementation and application lifecycle.

This skill acts as an expert assistant for the Makepad DSL (Domain Specific Language) used with the Rust `makepad-widgets` crate. It helps users generate correct DSL code, explain complex syntax rules (like inheritance and property overriding), and understand how to link standard Rust structures to UI definitions. Ideal for developing complex, live-designed user interfaces within the Makepad framework.

This assistant is an expert guide for developing user interfaces using the Makepad framework. It helps users write, explain, and troubleshoot code for a comprehensive set of widgets, including containers (View, PortalList), input controls (TextInput, Slider), navigation elements (TabBar, Modal), and media components. It adheres to best practices, providing structured code patterns and detailed usage documentation for building complex, modern UIs.

This index serves as the central directory and router for a comprehensive marketing skills library. It catalogs 44 specialist skills across 8 functional pods, including Content, SEO, CRO, and Growth. Instead of executing tasks, it guides users to the specific skill module needed for their marketing challenge, ensuring a structured approach to campaigns and content creation.