#7171st of 73 in Skills, plugins and rules
skills
Agent Skills for Hugging Face Hub, training, evals and SageMaker deployment
- Stars
- 11.2k
- License
- Apache-2.0
- Last commit
- Oct 2026
- Language
- Python
9,711 on 25 Mar 202611,168 on 14 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A collection of about 24 Agent Skills folders (SKILL.md plus scripts) that teach coding agents Hugging Face workflows: Hub CLI operations, TRL and Unsloth fine-tuning, evals, Spaces, Gradio, Trackio and SageMaker deployment. Claude Code and Cursor marketplaces expose only hf-cli; other skills install with `hf skills add <name>`. A Gemini CLI extension and a generated AGENTS.md fallback are included.
Who it is for: Developers using coding agents with the Hugging Face Hub
Strengths
- Follows the Agent Skills format; works with Claude Code, Codex, Gemini CLI and Cursor
- hf-cli skill is generated from the locally installed CLI, so commands stay current
- Covers datasets, training, evals, Spaces, papers and SageMaker deployment
- AGENTS.md fallback bundle for agents without skill support
Weaknesses
- Client marketplaces list only hf-cli; other skills need the hf CLI to install
- Codex install is a manual copy or symlink into .agents/skills
- Training skills target Hugging Face Jobs, a hosted service
- Some skills overlap, such as huggingface-llm-trainer and trl-training
What it needs
- no GPU
- Needs hf CLI, Hugging Face Hub account, AWS account (SageMaker skills)
- Models: Safetensors, GGUF
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|---|---|---|
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| 2 | eccAgents, skills, hooks and rules bundle for Claude Code, Codex and other harnesses | 94 out of 100 |
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