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bentoml

BentoML — model serving and deployment.

Skill by mkurman

IndexedMIT★ 325
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/mkurman-bentoml

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About

BentoML — model serving and deployment. Build prediction services from any ML framework with OpenAPI/Swagger. Containerize, deploy to Kubernetes, AWS, GCP, Azure. Adaptive batching and GPU support.

Use cases: devops, cloud, ml, research

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.

Tools
No tools found
Secrets
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Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/bentoml

What's inside

Skill name
bentoml
Description
BentoML — model serving and deployment. Build prediction services from any ML framework with OpenAPI/Swagger. Containerize, deploy to Kubernetes, AWS, GCP, Azure. Adaptive batching and GPU support.
License
MIT
Instructions
42 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

## Overview

BentoML packages ML models with service definitions, dependencies, environment config, and deployment targets into a portable "Bento." Deploy to Kubernetes (Kserve, Seldon), AWS SageMaker, GCP Vertex AI, or as a standalone Docker container.

## Installation

```bash
uv pip install bentoml
```

## Service Definition

```python
import bentoml
from bentoml.io import JSON
import numpy as np

iris_clf = bentoml.sklearn.get("iris_model:latest")

@bentoml.service
class IrisClassifier:
    def __init__(self):
        self.model = iris_clf.to_runner()
        self.model.init_local()

    @bentoml.api(input=JSON(), output=JSON())
    def classify(self, input_data):
        result = self.model.run(np.array([input_data["features"]]))
        return {"class": int(result[0]), "probabilities": result[1].tolist()}
```

## Build & Deploy

```bash
bentoml build      # creates a Bento
bentoml containerize iris_classifier:latest  # Docker image
docker run -p 3000:3000 iris_classifier:latest
```

## References
- [BentoML docs](https://docs.bentoml.com/)
- [BentoML GitHub](https://github.com/bentoml/BentoML)

From mkurman/zorai, MIT.

More from mkurman/zorai

Signals

Stars
325
Forks
24
Open issues
0
Last commit (this folder)
May 5, 2026 (6 months ago)
Last release
Oct 23, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Repository
github.com/mkurman/zorai
Website
zorai.app/
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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bentoml skill. Agent Mart. https://agentmart.dev/skills/mkurman-bentoml (last updated 2026-10-24)