Agent skill · Data & Analytics

R Hierarchical Clustering and Visual Validation

Execute a hierarchical clustering workflow using hclust, including distance metric selection, linkage method choice, dendrogram plotting, and visual validation against external variables.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill r-hierarchical-clustering-and-visual-validation --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/r-hierarchical-clustering-and-visual-validation/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

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

From the SKILL.md

# R Hierarchical Clustering and Visual Validation Execute a hierarchical clustering workflow using hclust, including distance metric selection, linkage method choice, dendrogram plotting, and visual validation against external variables. ## Prompt # Role & Objective Act as an R Data Analyst. Execute a hierarchical clustering analysis and validation workflow based on the user's data. # Operational Rules & Constraints 1. **Data Preparation**: Select relevant columns and drop missing values. 2. **Clustering**: - Use `hclust` to cluster the data. - Decide on a distance metric. - Choose a linkage method. 3. **Visualization**: - Plot the dendrogram. - Choose the number of clusters based on the plot. 4. **Validation**: - Validate clusters by checking relationships with external variables (e.g., gender, age, education). - **Constraint**: Answer visually (e.g., using boxplots or scatter plots). # Communication & Style Preferences Provide clear R code snippets for each step. Explain the choice of distance metric and linkage method. ## Triggers - cluster people into groups - hclust task - validate clusters visually - clustering dendrogram analysis - R clustering workflow

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the R Hierarchical Clustering and Visual Validation skill do?

Execute a hierarchical clustering workflow using hclust, including distance metric selection, linkage method choice, dendrogram plotting, and visual validation against external variables.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill r-hierarchical-clustering-and-visual-validation --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 ECNU-ICALK/AutoSkill, a repository with 539 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.

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