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.
31
0%
Does it follow best practices?
Impact
83%
1.00xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./planned-skills/generated/08-ml-deployment/model-export-helper/SKILL.mdQuality
Discovery
0%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This description is essentially a placeholder with no substantive content. It only provides a skill name and category without describing any actual capabilities, use cases, or meaningful trigger terms. The repeated trigger term ('model export helper' twice) suggests auto-generated content that was never properly filled in.
Suggestions
Add specific concrete actions the skill performs, e.g., 'Exports trained ML models to deployment formats including ONNX, TensorFlow SavedModel, TorchScript, and CoreML'
Include a 'Use when...' clause with natural trigger terms like 'export model', 'deploy model', 'convert to ONNX', 'save for production', 'model serialization'
Specify the ML frameworks and export formats supported to distinguish from other ML-related skills
| Dimension | Reasoning | Score |
|---|---|---|
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, export to ONNX, serialize weights). | 1 / 3 |
Completeness | The description fails to answer 'what does this do' beyond naming a 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 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 skills. Without specific capabilities or file formats mentioned, it's impossible to distinguish from other ML-related skills. | 1 / 3 |
Total | 4 / 12 Passed |
Implementation
0%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill is an empty template with no actual content about model export. It consists entirely of generic boilerplate that could apply to any skill topic, providing zero actionable guidance on exporting ML models to formats like ONNX, TorchScript, SavedModel, or any deployment target.
Suggestions
Add concrete code examples for common export formats (e.g., PyTorch to ONNX, TensorFlow SavedModel, scikit-learn to ONNX)
Include a workflow with validation steps: export -> verify model loads -> test inference -> compare outputs with original
Specify which libraries/tools to use (torch.onnx.export, tf.saved_model.save, etc.) with executable examples
Remove all generic boilerplate text and replace with actual model export instructions and common pitfalls to avoid
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The content is padded with generic boilerplate that provides no actual information about model export. Phrases like 'provides automated assistance' and 'follows industry best practices' are meaningless filler that Claude doesn't need. | 1 / 3 |
Actionability | No concrete code, commands, or specific guidance is provided. The skill describes what it does in abstract terms but never shows how to actually export a model - no formats, no libraries, no examples. | 1 / 3 |
Workflow Clarity | No workflow is defined. Claims to provide 'step-by-step guidance' but contains zero actual steps. There's no sequence, no validation, and no process for model export tasks. | 1 / 3 |
Progressive Disclosure | The content is a monolithic block of vague descriptions with no structure for discovery. No references to detailed documentation, no links to examples or advanced topics, just self-referential placeholder text. | 1 / 3 |
Total | 4 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
allowed_tools_field | 'allowed-tools' contains unusual tool name(s) | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Commit
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