SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints.
Install Huggingface Models Expert
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expert --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/huggingface-models-expert .claude/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .claude/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expertType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/huggingface-models-expert .agents/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .agents/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/huggingface-models-expert .cursor/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .cursor/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/criptogus/agent-evolve-network.git --path skills/huggingface-models-expert--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/huggingface-models-expert .gemini/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .gemini/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expertInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/huggingface-models-expert .github/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .github/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install criptogus/agent-evolve-network huggingface-models-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/huggingface-models-expert .opencode/skills/huggingface-models-expert && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "huggingface-models-expert" agent skill from https://github.com/criptogus/agent-evolve-network/tree/main/skills/huggingface-models-expert into .opencode/skills/huggingface-models-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "huggingface-models-expert", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
huggingface-models-expert- GitHub stars
- 288
- Token cost
- ~539 tokens
- SKILL.md length
- 162 words
- Files
- 1
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- CC-BY-SA-4.0
At a glance
Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints.
- The user asks for hugging face models expert work
- SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
- Calls npx
- Mentions huggingface
What it does
Huggingface Models Expert is an agent skill from criptogus/agent-evolve-network. Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints. Use when the user asks for hugging face models expert work, or mentions huggingface, models, expert.
Its SKILL.md is about 540 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with Hugging Face. The licence is CC-BY-SA-4.0.
When your agent uses it
- The user asks for hugging face models expert work
- Mentions huggingface
Example prompts
- “/huggingface-models-expert”
Requirements
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit d19b920. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
npx
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
superagentskill.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Huggingface Models Expert loads about 539 tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 162 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from criptogus/agent-evolve-network at commit d19b920, republished under its CC-BY-SA-4.0 licence (© criptogus). 162 words, ~539 tokens.
Download SKILL.mdSave it as
.claude/skills/huggingface-models-expert/SKILL.md (or your agent's skills folder).- name
- huggingface-models-expert
- description
- Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints. Use when the user asks for hugging face models expert work, or mentions huggingface, models, expert.
- version
- 0.1.0
- license
- CC-BY-SA-4.0
- homepage
- https://superagentskill.com/marketplace/huggingface-models-expert
- source
- Super Agent Skill (SAK)
Hugging Face Models Expert
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.
Instructions
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.
Always
- Follow the section order specified in the system prompt.
Never
- Invent APIs, URLs, or facts not grounded in the input.
Examples
Pick + run a model
Input:
Need on-device English sentiment classification, low latency.Expected output:
Recommends a distilled model (e.g. distilbert-sst2), shows a transformers pipeline snippet, quantization for latency, and notes license + size tradeoffs vs an API.Deploy an endpoint
Input:
Serve a fine-tuned model with autoscaling.Expected output:
Inference Endpoints config (instance, autoscale to zero), a request example, and cost/cold-start notes; suggests TGI for LLMs.Trust & telemetry
This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.
- Trust Score & evidence: https://superagentskill.com/marketplace/trust/huggingface-models-expert
- Skill page: https://superagentskill.com/marketplace/huggingface-models-expert
- Live version (always current) via MCP: https://superagentskill.com/api/mcp
Reinstall or update with npx skills update, or pull the live graded version with
npx super-agent install huggingface-models-expert.
© criptogus, CC-BY-SA-4.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/huggingface-models-expert of criptogus/agent-evolve-network.
Open the folder on GitHubat commit d19b920
Compare with similar skills
Huggingface Models Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Huggingface Models Expert this skillcriptogus/agent-evolve-network | 288 | — | ~539 | Automated safety check: Pass | CC-BY-SA-4.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face LLM Trainerhuggingface/skills | 11k | 3 repos | ~7.2k | Automated safety check: Pass | Apache-2.0 | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Upload Post Imagehuggingface/blog | 3.5k | — | ~1.1k | Automated safety check: Pass | None | |
| Hugging Face Local Model Evalshuggingface/skills | 11k | 2 repos | ~1.6k | Automated safety check: Pass | Apache-2.0 |
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Works with
Categories
Questions about Huggingface Models Expert
What does Huggingface Models Expert do?
Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints. Huggingface Models Expert is an agent skill from criptogus/agent-evolve-network. Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints.
When should I use Huggingface Models Expert?
Huggingface Models Expert fits situations like: the user asks for hugging face models expert work; mentions huggingface.
How do I install Huggingface Models Expert in Claude Code?
Run `npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a claude-code`. Or copy the skill folder (skills/huggingface-models-expert in criptogus/agent-evolve-network) into .claude/skills/huggingface-models-expert in your project. Claude Code loads it when a task matches its description.
How do I install Huggingface Models Expert in Codex?
Run `npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a codex`. Or copy the skill folder (skills/huggingface-models-expert in criptogus/agent-evolve-network) into .agents/skills/huggingface-models-expert in your project. Codex loads it when a task matches its description.
Can I use Huggingface Models Expert in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add criptogus/agent-evolve-network --skill huggingface-models-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/huggingface-models-expert, .gemini/skills/huggingface-models-expert, .github/skills/huggingface-models-expert and .opencode/skills/huggingface-models-expert in your project.
What does Huggingface Models Expert need to run?
Going by SKILL.md and its folder, Huggingface Models Expert needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
Does Huggingface Models Expert access the network?
SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.
Is Huggingface Models Expert safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Huggingface Models Expert use?
Huggingface Models Expert is published under the CC-BY-SA-4.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Huggingface Models Expert use?
About 539 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Huggingface Models Expert?
Skills that share tags, products or a category with Huggingface Models Expert: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Hugging Face LLM Trainer (huggingface/skills, 11k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Upload Post Image (huggingface/blog, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Huggingface Models Expert?
criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.
Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.