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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.

Overall
score

24%

Does it follow best practices?

Validation for skill structure

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill triton-inference-config
What are skills?
SKILL.md
Review
Evals

Activation

22%

This description is severely underdeveloped, functioning more as a label than a useful skill description. It lacks any concrete actions, has redundant trigger terms, and provides no guidance on when Claude should select this skill. The description would fail to help Claude distinguish this skill from other ML-related skills in a large skill library.

Suggestions

Add specific actions the skill performs, e.g., 'Generates Triton Inference Server configuration files (config.pbtxt), validates model repository structure, configures batching and instance groups.'

Add an explicit 'Use when...' clause with natural trigger terms like 'Use when deploying models to Triton, creating config.pbtxt files, setting up NVIDIA Triton Inference Server, or configuring model serving.'

Include common variations of terminology users might use: 'Triton server', 'model repository', 'inference serving', 'TensorRT', 'ONNX deployment'.

DimensionReasoningScore

Specificity

The description only names 'Triton Inference Config' and 'ML Deployment' without describing any concrete actions. There are no verbs indicating what the skill actually does (e.g., generate configs, validate settings, deploy models).

1 / 3

Completeness

The description fails to answer 'what does this do' beyond naming the topic, and has no explicit 'Use when...' clause. The 'Triggers on' section is redundant and doesn't provide meaningful guidance on when to use the skill.

1 / 3

Trigger Term Quality

Includes 'triton inference config' as a trigger term (duplicated), which is a relevant technical term users might say. However, it lacks common variations like 'triton server', 'model repository', 'config.pbtxt', or 'NVIDIA Triton'.

2 / 3

Distinctiveness Conflict Risk

The mention of 'Triton Inference' provides some specificity that distinguishes it from generic ML skills, but 'ML Deployment' is broad and could overlap with other deployment-related skills.

2 / 3

Total

6

/

12

Passed

Implementation

0%

This skill is an empty template that provides no actual guidance on Triton Inference Server configuration. It lacks any concrete information about model repository structure, config.pbtxt format, backend configurations, dynamic batching, or model versioning. The content would be useless for actually helping someone configure Triton.

Suggestions

Add concrete config.pbtxt examples showing platform specification, input/output tensor definitions, and instance groups

Include the model repository directory structure with explicit file paths (e.g., model_repository/<model_name>/1/model.onnx)

Provide a validation workflow: create config -> test with tritonserver --model-repository -> check model loading status via health endpoint

Add specific configuration examples for common backends (ONNX, TensorRT, Python) with dynamic batching and optimization settings

DimensionReasoningScore

Conciseness

The content is padded with generic boilerplate that explains nothing specific about Triton Inference Server configuration. Phrases like 'automated assistance' and 'industry best practices' are filler that Claude doesn't need.

1 / 3

Actionability

No concrete code, commands, or configuration examples are provided. The skill describes what it does abstractly but gives zero executable guidance on how to actually configure Triton Inference Server.

1 / 3

Workflow Clarity

No workflow steps are defined. There's no sequence for creating config.pbtxt files, model repository structure, or validation steps for Triton deployments.

1 / 3

Progressive Disclosure

The content is a flat, generic template with no references to detailed documentation, examples, or related configuration files. No structure for navigating Triton-specific topics.

1 / 3

Total

4

/

12

Passed

Validation

69%

Validation11 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

description_trigger_hint

Description may be missing an explicit 'when to use' trigger hint (e.g., 'Use when...')

Warning

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

metadata_version

'metadata' field is not a dictionary

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

body_steps

No step-by-step structure detected (no ordered list); consider adding a simple workflow

Warning

Total

11

/

16

Passed

Reviewed

Table of Contents

ActivationImplementationValidation

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