running-clustering-algorithms
This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.
npx skills add majiayu000/claude-skill-registry --skill clustering-algorithm-runner-intent-solutions-io-plugins-nixtla --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Overview This skill empowers Claude to perform clustering analysis on provided datasets. It allows for automated execution of various clustering algorithms, providing insights into data groupings and structures. ## How It Works 1. **Analyzing the Context**: Claude analyzes the user's request to determine the dataset, desired clustering algorithm (if specified), and any specific requirements. 2. **Generating Code**: Claude generates Python code using appropriate ML libraries (e.g., scikit-learn) to perform the clustering task, including data loading, preprocessing, algorithm execution, and result visualization. 3. **Executing Clustering**: The generated code is executed, and the clustering algorithm is applied to the dataset. 4. **Providing Results**: Claude presents the results, including cluster assignments, performance metrics (e.g., silhouette score, Davies-Bouldin index), and visualizations (e.g., scatter plots with cluster labels). ## When to Use This Skill This skill activates when you need to: - Identify distinct groups within a dataset. - Perform a cluster analysis to understand data structure. - Run K-means, DBSCAN, or hierarchical clustering on a given dataset. ## Exam
- Overview
- How It Works
- When to Use This Skill
- Examples
- Example 1: Customer Segmentation
- Example 2: Anomaly Detection
- Best Practices
- Integration
What does the running-clustering-algorithms skill do?
This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill clustering-algorithm-runner-intent-solutions-io-plugins-nixtla --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.