Domain Ml
Analyzes domain-specific text data using machine learning to extract insights and inform decision-making processes.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add domain-ml npx -- -y @trustedskills/domain-ml
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"domain-ml": {
"command": "npx",
"args": [
"-y",
"@trustedskills/domain-ml"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The domain-ml skill enables AI agents to perform machine learning tasks within a specific domain, such as processing structured data or applying models tailored for niche applications. It supports model training, inference, and evaluation using domain-specific datasets.
When to use it
- To train custom models on specialized datasets like medical records or financial transactions.
- For deploying lightweight ML models in environments with limited computational resources.
- When integrating AI capabilities into domain-specific tools or workflows that require precision.
Key capabilities
- Model training and fine-tuning for specific domains
- Inference using optimized, domain-aware algorithms
- Integration with structured data formats like CSV or JSON
Example prompts
- "Train a model to classify customer feedback as positive or negative."
- "Predict equipment failure based on sensor data from industrial machinery."
- "Generate insights from a dataset of medical diagnoses."
Tips & gotchas
- Ensure your domain-specific datasets are clean and well-labeled for best results.
- This skill may require additional libraries or dependencies not included by default.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.