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Llm App Patterns

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sickn33·vlatest·ai-ml·MIT

Helps with LLMs, patterns as part of building AI and machine learning applications workflows.

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    Run this in your project

    terminal
    $ npx skills add sickn33/agentic-awesome-skills --skill llm-app-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

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sickn33

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Commit
5a4cdd9df8
Manifest
skills/llm-app-patterns/SKILL.md
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0 files
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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.