Domain Ml
Analyzes unstructured text data within specific industries to identify trends and predict future outcomes using machine learning.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add thurbeen-domain-ml npx -- -y @trustedskills/thurbeen-domain-ml
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"thurbeen-domain-ml": {
"command": "npx",
"args": [
"-y",
"@trustedskills/thurbeen-domain-ml"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The thurbeen-domain-ml skill provides machine learning capabilities. It allows AI agents to perform tasks related to data analysis and model building, likely within a specific domain or application. The skill is authored by thurbeen and written in Rust.
When to use it
- Analyzing datasets for patterns and insights.
- Building predictive models based on historical data.
- Automating machine learning workflows.
- Integrating machine learning functionality into existing applications.
Key capabilities
- Machine Learning Functionality
- Rust Implementation
- Domain Specific Application (implied)
Example prompts
- "Analyze this dataset and identify any significant trends."
- "Build a model to predict [outcome] based on these features."
- "Automate the process of training and evaluating machine learning models."
Tips & gotchas
This skill is written in Rust, so familiarity with that language or environment may be beneficial for advanced usage or customization. The specific domain this skill targets isn't explicitly stated; ensure it aligns with your intended application.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.