Create Llms
Generates custom large language models tailored to specific datasets and tasks using GitHub's tools and infrastructure.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add create-llms npx -- -y @trustedskills/create-llms
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"create-llms": {
"command": "npx",
"args": [
"-y",
"@trustedskills/create-llms"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The create-llms skill enables users to generate and manage large language models (LLMs) tailored for specific tasks. It provides tools for model training, fine-tuning, and deployment, allowing developers to build custom AI solutions.
When to use it
- When you need to train a custom LLM on domain-specific data.
- To deploy an AI model in a production environment with minimal configuration.
- For rapid prototyping of NLP-based applications such as chatbots or content generators.
Key capabilities
- Model training and fine-tuning on user-provided datasets
- Integration with popular deep learning frameworks
- Support for deployment across cloud platforms
Example prompts
- "Train a language model using my dataset of customer support logs."
- "Deploy the trained model as an API endpoint for real-time use."
- "Fine-tune this LLM to generate technical documentation in Python."
Tips & gotchas
- Ensure you have sufficient computational resources, such as GPUs, for training.
- Model performance heavily depends on the quality and relevance of your training data.
Tags
TrustedSkills Verification
Unlike other registries that point to live repositories, TrustedSkills pins every skill to a verified commit hash. This protects you from malicious updates — what you install today is exactly what was reviewed and verified.
Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🏢 Official
Published by the company or team that built the technology.