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tracking-model-versions

5.8

by jeremylongshore

54Favorites
135Upvotes
0Downvotes

Build this skill enables AI assistant to track and manage ai/ml model versions using the model-versioning-tracker plugin. it should be used when the user asks to manage model versions, track model lineage, log model performance, or implement version control f... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

model-versioning

5.8

Rating

0

Installs

Machine Learning

Category

Quick Review

This skill provides a solid foundation for ML model versioning with clear examples and workflow descriptions. The SKILL.md offers good structure with specific use cases (tracking versions, retrieving metrics) and references supporting scripts that presumably contain implementation details. However, the description is somewhat generic and could be more specific about the actual capabilities of the model-versioning-tracker plugin. The skill shows moderate novelty - while model versioning is useful, many ML practitioners already use tools like MLflow directly. The task knowledge appears adequate given the referenced Python scripts and YAML workflow files. Minor improvements could include more specific trigger phrases, clearer parameter specifications for invocation, and more detailed integration examples.

LLM Signals

Description coverage6
Task knowledge7
Structure7
Novelty6

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

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jeremylongshore

Skill Author

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