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model-export-helper

Model Export Helper - Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category.

Overall
score

20%

Does it follow best practices?

Validation for skill structure

Install with Tessl CLI

npx tessl i github:jeremylongshore/claude-code-plugins-plus-skills --skill model-export-helper
What are skills?
SKILL.md
Review
Evals

Activation

0%

This description is essentially a placeholder with no substantive content. It provides only a skill name and category without explaining what the skill does, what specific actions it performs, or when it should be selected. The trigger terms are redundant repetitions of the skill name rather than natural user language.

Suggestions

Add specific concrete actions the skill performs (e.g., 'Exports trained ML models to deployment formats including ONNX, TensorFlow SavedModel, and TorchScript')

Include a 'Use when...' clause with natural trigger terms users would say (e.g., 'Use when the user needs to export, convert, or serialize machine learning models for production deployment')

Add relevant keywords and file formats users might mention (e.g., 'model serialization', '.onnx', '.pb', 'inference optimization', 'model conversion')

DimensionReasoningScore

Specificity

The description contains no concrete actions - only 'Model Export Helper' which is a name, not a capability. There's no indication of what the skill actually does (e.g., convert models, serialize weights, export to ONNX).

1 / 3

Completeness

The description fails to answer 'what does this do' beyond the vague category 'ML Deployment', and provides no 'when should Claude use it' guidance. The 'Triggers on' section just repeats the skill name.

1 / 3

Trigger Term Quality

The trigger terms listed are just 'model export helper' repeated twice, which is the skill name itself rather than natural keywords users would say. Missing terms like 'export model', 'save model', 'ONNX', 'TensorFlow SavedModel', 'PyTorch export', etc.

1 / 3

Distinctiveness Conflict Risk

The description is extremely generic - 'ML Deployment' could overlap with many other ML-related skills. Without specific capabilities or file formats mentioned, it's impossible to distinguish from other model-related skills.

1 / 3

Total

4

/

12

Passed

Implementation

7%

This skill is a hollow template with no actual content about model export. It describes capabilities in abstract terms but provides zero concrete guidance, code examples, or workflows for exporting ML models. The skill would be completely unhelpful for anyone actually trying to export a model.

Suggestions

Add concrete code examples for common model export formats (ONNX, TorchScript, SavedModel, etc.) with executable snippets

Define a clear workflow with validation steps: export -> validate -> test inference -> deploy

Remove generic boilerplate sections ('Capabilities', 'Example Triggers') and replace with actual technical content

Include specific commands or API calls for popular frameworks (PyTorch, TensorFlow, scikit-learn)

DimensionReasoningScore

Conciseness

The content is padded with generic boilerplate that provides no specific value. Phrases like 'provides automated assistance' and 'follows industry best practices' are vague filler that Claude doesn't need.

1 / 3

Actionability

No concrete code, commands, or specific guidance is provided. The skill describes what it does abstractly ('provides step-by-step guidance') but never actually provides any actionable steps for model export.

1 / 3

Workflow Clarity

No workflow is defined. The skill claims to provide 'step-by-step guidance' but contains zero actual steps for exporting models. No validation checkpoints or sequences are present.

1 / 3

Progressive Disclosure

The content is organized into clear sections with headers, but there are no references to detailed documentation or examples. The structure exists but contains no substantive content to disclose.

2 / 3

Total

5

/

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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