Llm App Patterns
Helps with LLMs, patterns as part of building AI and machine learning applications workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add llm-app-patterns npx -- -y @trustedskills/llm-app-patterns
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"llm-app-patterns": {
"command": "npx",
"args": [
"-y",
"@trustedskills/llm-app-patterns"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The llm-app-patterns skill provides a collection of design patterns and best practices for building applications that integrate large language models (LLMs). It helps developers structure their AI-powered apps effectively, ensuring scalability, maintainability, and performance.
When to use it
- When designing an application that requires natural language processing or generation.
- When looking to implement chatbots, virtual assistants, or content-generation tools.
- When aiming to optimize LLM integration for real-time or high-throughput scenarios.
Key capabilities
- Provides reusable architectural blueprints for LLM-powered applications
- Includes guidance on handling prompts, responses, and model interactions
- Offers strategies for managing costs and improving performance with LLMs
Example prompts
- "How can I structure a chatbot using the agent pattern?"
- "What are best practices for integrating an LLM into a web application?"
- "Can you explain how to use caching effectively with LLM responses?"
Tips & gotchas
- Ensure your application has clear input and output boundaries when implementing patterns.
- Be mindful of model-specific limitations, such as token limits or response latency, when applying these patterns.
Tags
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