Skill UI

Brandkit is an image generation skill that has been moved to a dedicated repository. It runs only when explicitly called by name. Users can install it using the npx skills add command from the Leonxlnx/imagegen-skills GitHub repository. This tool is part of a suite of image-generation skills designed for creative workflows.

This skill provides a mobile frontend interface for image generation tasks. It has been migrated to a dedicated repository and runs when invoked by its specific name. Users can utilize this skill to generate images through a mobile-friendly interface within the skills ecosystem.

This skill provides the frontend interface for image generation tasks. It has been moved to a dedicated GitHub repository containing other image-generation skills. It runs only when explicitly called by name and does not invoke models directly. Users can install it via the npx skills command to access the web interface for generating images.

A powerful tool designed to scaffold sophisticated, custom AI agent harnesses using the metaharness CLI. It supports various templates (e.g., coding, devops, marketing) and AI hosts (e.g., Claude, Codex). Crucially, it operates with maximum safety, defaulting to a dry-run mode and refusing to write to the calling repository root, ensuring controlled and predictable development workflows.

A comprehensive guide for authors submitting to PR&AI, detailing how to truthfully declare and provide verifiable artifacts (code, data, models) for peer review. It emphasizes honesty, consistency, and structuring a reproducible repository to enhance reviewer trust.

A comprehensive guide on preparing and structuring evidence packages for recommender system research, especially for academic submissions. It details how to ensure that all ranking claims, off-policy estimates, and evaluation metrics are end-to-end reproducible by providing artifacts like datasets, split scripts, model checkpoints, and propensity logs in an anonymous, verifiable repository.

This skill enables AI assistants to interact with the Hugging Face Hub via Model Context Protocol (MCP). Users can search for models, datasets, and papers, retrieve repository details, fetch documentation, and execute compute jobs on GPU or CPU. It also allows leveraging Gradio Spaces as functional AI tools. Ideal for developers and researchers needing direct access to the HF ecosystem for model discovery, training, and deployment workflows.

Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.