Agent skill · Data & Analytics

performing-regression-analysis

This skill empowers Claude 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 performance metrics. Use this skill when the user explicitly requests regression analysis, prediction based on data, or mentions terms like "linear regression," "polynomial regression," "regression model," or "predictive modeling." This skill is also helpful when the user needs to understand the relationship between variables in a dataset.

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill regression-analysis-tool-intent-solutions-io-plugins-nixtla-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Version: 1.0.0
Allowed tools: ReadWriteEditGrepGlobBash
Path: skills/ai-ml/regression-analysis-tool-intent-solutions-io-plugins-nixtla-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

## Overview This skill enables Claude to analyze data, build regression models, and provide insights into the relationships between variables. It leverages the regression-analysis-tool plugin to automate the process and ensure best practices are followed. ## How It Works 1. **Data Analysis**: Claude analyzes the provided data to understand its structure and identify potential relationships between variables. 2. **Model Generation**: Based on the data, Claude generates appropriate regression models (e.g., linear, polynomial). 3. **Model Validation**: Claude validates the generated models to ensure their accuracy and reliability. 4. **Performance Reporting**: Claude provides performance metrics and insights into the model's effectiveness. ## When to Use This Skill This skill activates when you need to: - Perform regression analysis on a given dataset. - Predict future values based on existing data using regression models. - Understand the relationship between independent and dependent variables. - Evaluate the performance of a regression model. ## Examples ### Example 1: Predicting House Prices User request: "Can you build a regression model to predict house prices based on square fo

What's inside
Steps it walks through
  1. Overview
  2. How It Works
  3. When to Use This Skill
  4. Examples
  5. Example 1: Predicting House Prices
  6. Example 2: Analyzing Sales Trends
  7. Best Practices
  8. Integration
Ships with 1 file
  • metadata.json
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About this skill
What does the performing-regression-analysis skill do?

This skill empowers Claude 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 performance metrics. Use this skill when the user explicitly requests regression analysis, prediction based on data, or mentions terms like "linear regression," "polynomial regression," "regression model," or "predictive modeling." This skill is also helpful when the user needs to understand the relationship between variables in a dataset.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill regression-analysis-tool-intent-solutions-io-plugins-nixtla-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going