Llm Models
Provides LLMs guidance and assistance for building AI and machine learning applications.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add llm-models npx -- -y @trustedskills/llm-models
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"llm-models": {
"command": "npx",
"args": [
"-y",
"@trustedskills/llm-models"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The llm-models skill provides access to a variety of large language models, enabling AI agents to perform complex tasks such as text generation, reasoning, and multi-step problem solving. It supports integration with multiple model architectures and frameworks, allowing for flexible deployment in different environments.
When to use it
- When you need an AI agent to generate high-quality text or responses based on user input.
- For applications requiring advanced natural language understanding and dialogue management.
- In scenarios where deploying a custom large language model is necessary for specific business logic or domain expertise.
Key capabilities
- Access to multiple pre-trained LLMs
- Integration with various AI frameworks
- Support for fine-tuning and customization
- Scalable deployment options
Example prompts
- "Generate a detailed report on the latest advancements in renewable energy."
- "Explain how quantum computing works using simple language."
- "Create a dialogue flow for a customer service chatbot that handles account inquiries."
Tips & gotchas
- Ensure you have sufficient computational resources, as LLMs can be resource-intensive.
- Model performance may vary based on the specific use case and input quality.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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