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performing-regression-analysis

5.8

by jeremylongshore

186Favorites
65Upvotes
0Downvotes

Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin. it analyzes datasets, generates appropriate regression models (linear, polynomial, etc.), validates the models, and provides performa... Use when analyzing code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.

regression

5.8

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides a solid foundation for performing regression analysis with clear use cases and examples. The SKILL.md offers good structural organization with overview, examples, and best practices sections. It references supporting Python scripts (validate_data.py, generate_model.py, evaluate_model.py) which are assumed to provide implementation details. However, the description is somewhat generic and could be more specific about what differentiates this from standard regression libraries. The skill shows moderate novelty - while regression analysis is common, automating model selection, validation, and performance reporting adds value. The descriptionCoverage could be improved with more explicit parameter specifications and triggering conditions. Overall, it's a functional skill that would help a CLI agent perform regression tasks more efficiently than assembling steps manually, though it represents a moderate rather than high complexity use case.

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

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