This is the Linux app named Hugging Face Skills whose latest release can be downloaded as skillssourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
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Hugging Face Skills
DESCRIPTION
Hugging Face Skills is a repository of standardized task definitions that package instructions, scripts, and resources so coding agents can reliably perform AI and machine learning workflows. Each skill is a self-contained folder with structured metadata and guidance that tells an agent how to execute tasks such as dataset creation, model training, evaluation, or Hub operations. The project is designed to be interoperable across major agent ecosystems, including Claude Code, OpenAI Codex, Gemini CLI, and Cursor, making it a cross-platform building block for agent automation. By formalizing best practices and workflows, Skills helps transform general-purpose coding agents into domain-aware assistants that can execute complex ML pipelines with less manual prompting. The repository also includes ready-to-use skills for common Hugging Face operations and encourages teams to extend them with custom domain logic.
Features
- Standardized agent skill format
- Cross-agent interoperability
- Packaged workflows and scripts
- Native Hugging Face Hub integration
- Supports training, datasets, and evaluation
- Extensible for custom domain skills
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/hugging-face-skills.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
