Integrate Hugging Face Hub model discovery, dataset retrieval, and cloud compute jobs.
npx skills add https://github.com/iani-kuli/harness_bro --skill hf-mcp-iani-kuli
Please help me install this Agent Skill. Skill: hf-mcp Source: https://github.com/iani-kuli/harness_bro/tree/main/.claude/skills/ported/hf-mcp Command: npx skills add https://github.com/iani-kuli/harness_bro --skill hf-mcp-iani-kuli
This skill bridges the gap between AI assistants and the Hugging Face ecosystem, allowing users to discover, evaluate, and deploy machine learning models, datasets, and spaces without leaving their workspace.
Use the hf-mcp skill to search for the best text generation models and retrieve their repository details.
High-intent search queries and answers about installing and using this skill.
You can search for machine learning models on the Hugging Face Hub by using this skill to query repositories based on specific criteria like task categories or download counts. It integrates Hub capabilities directly into your AI workflows to facilitate model discovery.
Yes, you can run training scripts on remote GPU instances by executing cloud-based compute jobs through the Hugging Face MCP server. This allows you to manage cloud compute execution directly from your AI assistant workflow.
The best way to interact with hosted Gradio applications is to use this skill to integrate them as functional tools within your AI workflows. It connects your assistant to Gradio spaces for tasks like image generation or audio transcription.
Yes, you need appropriate authentication tokens to retrieve datasets from private Hugging Face repositories. The skill requires an active connection to the Hugging Face MCP server and valid tokens to access private content securely.
Yes, Hugging Face Hub integration supports evaluating datasets without leaving your workspace. It bridges the gap between AI assistants and the ecosystem, allowing you to discover, evaluate, and deploy datasets directly in your current environment.
The Hugging Face MCP connection manages cloud-based compute jobs by integrating remote GPU infrastructure control into your AI assistant. This allows you to seamlessly execute inference jobs and training scripts on cloud infrastructure.
Himanshu040604Search Hugging Face Hub for models, datasets, and Spaces.
qcmuuProvision Lambda Labs GPU instances and Slurm clusters for ML workloads.
Andrew-GirgisBuild and publish Gradio demos for LoRAs on Hugging Face Spaces.
ldzhhxxManage models and datasets on Hugging Face Hub using the Hugging Face CLI.
