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Adapting Transfer Learning Models

This skill automates the adaptation of pre-trained machine learning models using transfer learning techniques. It is triggered when the user requests assistance with fine-tuning a model, adapting a pre-trained model to a new dataset, or performing transfer learning. It analyzes the user's requirements, generates code for adapting the model, includes data validation and error handling, provides performance metrics, and saves artifacts with documentation. Use this skill when you need to leverage existing models for new tasks or datasets, optimizing for performance and efficiency.

Overall
score

17%

Does it follow best practices?

Validation for skill structure

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SKILL.md
Review
Evals

Activation

Skipped

Implementation

Skipped

Validation

75%

Validation12 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

name_field

'name' must contain only lowercase letters, digits, and hyphens

Fail

metadata_version

'metadata' field is not a dictionary

Warning

license_field

'license' field is missing

Warning

body_output_format

No obvious output/return/format terms detected; consider specifying expected outputs

Warning

Total

12

/

16

Failed

Reviewed

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