detecting-data-anomalies
| This skill empowers Claude to identify anomalies and outliers within datasets. It leverages the anomaly-detection-system plugin to analyze data, apply appropriate machine learning algorithms, and highlight unusual data points. Use this skill when the user requests anomaly detection, outlier analysis, or identification of unusual patterns in data. Trigger this skill when the user mentions "anomaly detection," "outlier analysis," "unusual data," or requests insights into data irregularities.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install jeremylongshore/claude-code-plugins-plus-skills/detecting-data-anomalies skilz install jeremylongshore/claude-code-plugins-plus-skills/detecting-data-anomalies --agent opencode skilz install jeremylongshore/claude-code-plugins-plus-skills/detecting-data-anomalies --agent codex skilz install jeremylongshore/claude-code-plugins-plus-skills/detecting-data-anomalies --agent gemini
First time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills cp -r claude-code-plugins-plus-skills/backups/skills-migration-20251108-070147/plugins/ai-ml/anomaly-detection-system/skills/anomaly-detection-system ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- jeremylongshore (GitHub)
- Repository
- claude-code-plugins-plus-skills
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- analysis research skill
- Market Score
- 20.9
Browse Category
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