triton-inference-config

Triton Inference Config - Auto-activating skill for ML Deployment. Triggers on: triton inference config, triton inference config Part of the ML Deployment skill category.

0.98x

Quality

11%

Does it follow best practices?

Impact

98%

0.98x

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/triton-inference-config/SKILL.md

Evaluation results

97%

-3%

Deploy Sentiment Analysis Model on Triton Inference Server

Production-ready Triton model config

Criteria

Without context

With context

config.pbtxt exists

100%

Correct backend

100%

70%

Model name field

100%

Max batch size set

100%

Input tensor definition

100%

Output tensor definition

100%

Instance group for GPU

100%

Dynamic batching

100%

Deployment guide exists

100%

Step-by-step structure

100%

Validation/verification steps

100%

Production completeness

100%

Without context: $0.2349 · 1m 9s · 13 turns · 14 in / 3,779 out tokens

With context: $0.4217 · 1m 37s · 25 turns · 59 in / 5,482 out tokens

100%

Build a Triton Ensemble Pipeline for Text Classification

Ensemble pipeline config and step-by-step guidance

Criteria

Without context

With context

Ensemble backend field

100%

Ensemble scheduling block

100%

Tensor routing defined

100%

Tokenizer backend

100%

Classifier backend

100%

Correct tensor dtypes

100%

Step-by-step guide

100%

Tensor routing explanation

100%

Validation/testing steps

100%

No placeholders

100%

Ensemble name matches

100%

Without context: $0.4686 · 1m 55s · 23 turns · 24 in / 7,275 out tokens

With context: $0.5793 · 2m 16s · 30 turns · 31 in / 8,462 out tokens

98%

-2%

Optimize Triton Deployment for High-Throughput Production

Production optimization and monitoring config

Criteria

Without context

With context

max_batch_size increased

100%

Dynamic batching added

100%

Multi-GPU instance group

100%

Batching delay or queue settings

100%

Monitoring coverage

100%

Optimization explanations

100%

Validation checklist

100%

Health check or readiness validation

100%

Existing fields preserved

100%

Step-by-step rollout guidance

100%

75%

No placeholders in config

100%

Without context: $0.4257 · 2m 14s · 18 turns · 19 in / 7,237 out tokens

With context: $0.3491 · 1m 47s · 18 turns · 436 in / 5,097 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

Deploy Sentiment Analysis Model on Triton Inference Server Build a Triton Ensemble Pipeline for Text Classification Optimize Triton Deployment for High-Throughput Production

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