Can I use this for local LLM development?

Yes, it includes specific implementation patterns and code examples for integrating with Ollama to run models locally.

How does it help with prompt engineering?

It provides structured templates and best practices for creating system prompts, few-shot examples, and chain-of-thought reasoning paths.

What models does this skill support?

This skill provides integration patterns for Anthropic Claude, OpenAI GPT, Google Gemini, and local models via Ollama.

Does it provide a unified interface for different providers?

Yes, it includes a multi-model abstraction layer and factory pattern to help you write provider-agnostic code that works across different LLM APIs.

What is 'Extended Thinking' in this context?

Extended thinking allows Claude models to perform internal reasoning steps before providing a final answer, which is essential for complex coding and math tasks.

LLM Integration & Orchestration

Name: LLM Integration & Orchestration
Author: Lobbi-Docs

byLobbi-Docs

0•

Data Science & ML

Integrates multiple LLM providers like Anthropic, OpenAI, and Google Gemini into applications using advanced orchestration and reasoning patterns.

The LLM Integration skill provides a comprehensive toolkit for developers building sophisticated AI-powered applications, offering standardized patterns for integrating major LLM providers including Claude, GPT, Gemini, and local Ollama models. It simplifies complex AI workflows by providing advanced implementation guidance for extended thinking, sophisticated prompt engineering (such as few-shot and chain-of-thought), and intelligent token budget management. By implementing a unified multi-model abstraction layer, this skill enables developers to build resilient, provider-agnostic AI agents and applications that can seamlessly switch between or orchestrate across different large language models depending on the task requirements.

Key Features

01Multi-provider support for Anthropic, OpenAI, Google Gemini, and Ollama

02Extended thinking and reasoning integration for complex problem solving

03Advanced prompt engineering templates including CoT and few-shot

04Intelligent token budget management and streaming configurations

05Unified multi-model abstraction and factory patterns

060 GitHub stars

Use Cases

01Developing provider-agnostic AI integrations for both local and cloud-based models

02Implementing deep reasoning tasks using Claude's extended thinking capabilities

03Building multi-tenant AI agent platforms with automatic model fallbacks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lobbi-docs/claude llm-integration

For use in Claude.ai and ChatGPT

Download Skill