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performing-regression-analysis

5.2

by jeremylongshore

85Favorites
102Upvotes
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

5.2

Rating

0

Installs

Data & Analytics

Category

Quick Review

This skill provides a functional framework for regression analysis with clear use cases and examples. The description adequately covers what the skill does (analyzing data, building models, validation, reporting), and the referenced scripts (validate_data.py, generate_model.py, evaluate_model.py) suggest comprehensive task knowledge. However, the description has some issues: it's somewhat redundant (overview section repeated), contains generic boilerplate (e.g., 'appropriate file access permissions'), and lacks specificity about invocation parameters. The structure is reasonable but could be more concise. Novelty is moderate—while regression analysis orchestration has value, it's a fairly standard statistical task that many data analysis tools already handle well. A CLI agent could potentially perform basic regression with existing libraries, though this skill may streamline the workflow.

LLM Signals

Description coverage6
Task knowledge7
Structure5
Novelty4

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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