Skill UI

A comprehensive skill for managing the entire lifecycle of datasets on the Hugging Face Hub. It allows users to initialize, configure, and stream updates for datasets of various types (Chat, Text Classification, Tabular). Crucially, it extends data handling capabilities by enabling powerful SQL-based querying and transformation directly on Hub datasets using the DuckDB engine, facilitating advanced data exploration and pipeline creation.

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.

Train or fine-tune TRL-powered language models via Hugging Face Jobs, running SFT/DPO/GRPO workflows on managed cloud GPUs, auto-saving to the Hub and exporting GGUF builds without local setup.

This skill provides comprehensive tools for AI researchers and engineers to publish, index, and manage academic papers directly on the Hugging Face Hub. It supports automatic arXiv indexing, linking papers to specific models and datasets, verifying authorship, and generating professional, markdown-based research articles. It streamlines the entire scientific publication workflow from creation to professional publication.

This utility is designed to build reusable, composable command-line scripts for interacting with the Hugging Face API and the `hf` command line tool. It enables complex data workflows by supporting chaining, piping, and intermediate processing across models, datasets, and repositories, streamlining the automation of Hub tasks.

Sets up a new AgentHub collaboration session by scaffolding the .agenthub directory, generating session IDs, configuring evaluation criteria, and optionally capturing a baseline metric so teams can immediately spawn agents and run structured evaluations.

Provides setup logic for integrating WhatsApp services, likely linking messaging workflows for automation or notifications.

Creates a single coherent company narrative tailored to employees, investors, customers, candidates, and partners, detecting contradictions and ensuring every communication reflects the same truth for each audience and situation.

A comprehensive framework for global expansion, guiding businesses through market selection, evaluating entry modes (export, partnership, subsidiary), and executing localization strategies. Covers product adaptation, go-to-market planning, regulatory compliance, and operational setup for new international regions.

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.

Provides an “It Depends” placeholder endpoint that simply returns a 404 Not Found, highlighting that the actual behavior depends on context and is yet to be implemented.

Provides guidance for organizing and navigating Jupyter Notebook workflows, focusing on structuring analysis, experiments, and reports within interactive Python sessions.