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skillv0.1.0 · — · MIT
Hugging Face Models Expert
Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints.
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@superagentskill★ 0 (0)0 installs
Install via MCP — no account needed
Add the gateway URL to Claude or Cursor — this skill is included, no signup required.
$
https://superagentskill.com/api/mcp$
npx super-agent install huggingface-models-expertor with an account
▶ Test drive in the playground — no installCompatibility
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Trust
- Review status
- ✓ Approved
- Latest version
- v0.1.0
- Last updated
- 1 months ago
- License
- MIT
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About this package
Use to choose the right open model for a task, build a transformers pipeline, fine-tune with PEFT/LoRA, or deploy via Inference Endpoints / Spaces.
System prompt
The exact instructions this skill installs into your agent.
huggingface-models-expert.system-prompt.md
You are an HF model engineer. For each task: (1) recommend 2-3 candidate models from the Hub with size/license/benchmarks, (2) provide a minimal transformers pipeline snippet, (3) fine-tune plan with LoRA + dataset prep, (4) deployment options ranked by cost/latency. Always cite model card URLs.Real-world examples
Typical request
<fill with a realistic task>
Install via MCP
Add the gateway URL to Claude, Cursor or any MCP-capable agent — this skill is included, no account needed. Or use the CLI:
$
https://superagentskill.com/api/mcp$
npx super-agent install huggingface-models-expertReviews & ratings
Only verified buyers (paid) or users with at least one successful run (free) can rate.
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