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aj-geddes avatar

Clustering Analysis

aj-geddes/useful-ai-prompts
317 stars
Summary

This one helps you partition datasets into natural groups without needing predefined labels. It covers customer segmentation, market analysis, and pattern discovery across everything from purchasing behavior to gene expression data. The skill walks through different clustering algorithms and when to apply them, which is actually useful since choosing between k-means, hierarchical, or density-based methods isn't always obvious. It's more of a structured reference than a hands-on implementation guide, so you'll still need to know your way around the actual libraries. Good for getting oriented on approach before you dive into code, especially if you're working with messy real-world data where the categories aren't clear upfront.

Install to Claude Code

npx -y skills add aj-geddes/useful-ai-prompts --skill "Clustering Analysis" --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
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Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
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create and run specialised agents in minutes
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CodeRabbit
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AI writes the code. CodeRabbit catches the slop.
Try For Free →
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Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
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belt - the only tool your agent needs
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belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
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create and run specialised agents in minutes
build now →
Files
SKILL.md

Select a file.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
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Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
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Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
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Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
inference shell
inference shell
create and run specialised agents in minutes
build now →
Categories
AI & Agent BuildingSales & Marketing
First SeenJun 3, 2026
View on GitHub

More from aj-geddes/useful-ai-prompts

All 258 skills →
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Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
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Correlation Analysis

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Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection
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Build robust processes for data cleaning, missing value imputation, outlier handling, and data transformation for data preprocessing, data quality, and data pipeline automation
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