torchserve-config-generator

Torchserve Config Generator - Auto-activating skill for ML Deployment. Triggers on: torchserve config generator, torchserve config generator Part of the ML Deployment skill category.

1.00x

Quality

Does it follow best practices?

Impact

100%

1.00x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/torchserve-config-generator/SKILL.md

Evaluation results

100%

Deploying a Sentiment Analysis Model with TorchServe

Production TorchServe config generation

Criteria

Without context

With context

config.properties created

100%

Inference port set

100%

Management port set

100%

Model store path configured

100%

Worker count configured

100%

torch-model-archiver command present

100%

Model archive output path

100%

TorchServe start command present

100%

Config file referenced in start

100%

Model store referenced in start

100%

README documents steps in order

100%

README explains config choices

100%

Without context: $0.3742 · 1m 29s · 21 turns · 22 in / 5,106 out tokens

With context: $0.4055 · 1m 33s · 27 turns · 26 in / 4,843 out tokens

100%

Serving Multiple AI Models from a Single TorchServe Instance

Multi-model TorchServe deployment config

Criteria

Without context

With context

config.properties present

100%

Both models registered

100%

Worker count per model

100%

Batch size configured

100%

Batch delay configured

100%

Inference port 8080

100%

Management port 8081

100%

TorchServe start script

100%

Management API curl call

100%

Output saved to file

100%

Deployment notes present

100%

Batching strategy explained

100%

Without context: $0.3335 · 1m 25s · 22 turns · 22 in / 4,665 out tokens

With context: $0.4602 · 1m 33s · 28 turns · 325 in / 5,474 out tokens

100%

Setting Up TorchServe with Metrics and Health Monitoring

TorchServe monitoring and metrics configuration

Criteria

Without context

With context

config.properties present

100%

Metrics port configured

100%

Metrics format set

100%

Job queue limit set

100%

Model store path set

100%

metrics_config.yaml present

100%

Custom metrics defined

100%

TorchServe start command

100%

Health check script present

100%

Health endpoint port correct

100%

Monitoring notes present

100%

Verification steps included

100%

Without context: $0.4116 · 1m 44s · 25 turns · 26 in / 5,875 out tokens

With context: $0.6018 · 2m 11s · 31 turns · 31 in / 7,664 out tokens

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: f17dd51

Evaluated: 18 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Deploying a Sentiment Analysis Model with TorchServe Serving Multiple AI Models from a Single TorchServe Instance Setting Up TorchServe with Metrics and Health Monitoring

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