Individual skill
hugging-face-datasets
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
backend/cli/skills/data-engineering/hugging-face-datasets/SKILL.md
Source commit a08e0ad0ad3d6448123039ee4659163eb2e35d99
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- Yes
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- Yes
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- Network or broad shell
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 4,350
- Repository last updated
- Nov 4, 2026
- License
- Apache-2.0
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- agent Repository topic
- ai Repository topic
- bun Repository topic
- cli Repository topic
- llm Repository topic
- ml Repository topic
- open-source Repository topic
- research Repository topic
- science Repository topic
- ai-agent Repository topic
- hugging-face Declared skill tag
- datasets Declared skill tag
- data-loading Declared skill tag
- data-processing Declared skill tag
- data Derived category
- data-databases Derived category
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Read excerpt
# Overview
This skill provides tools to manage datasets on the Hugging Face Hub with a focus on creation, configuration, content management, and SQL-based data manipulation. It is designed to complement the existing Hugging Face MCP server by providing dataset editing and querying capabilities.
## Integration with HF MCP Server
- **Use HF MCP Server for**: Dataset discovery, search, and metadata retrieval
- **Use This Skill for**: Dataset creation, content editing, SQL queries, data transformation, and structured data formatting
# Version
2.1.0
# Dependencies
# This skill uses PEP 723 scripts with inline dependency management
# Scripts auto-install requirements when run with: uv run scripts/<script>.py
