llmintegration
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
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142 skills found
Multi-model LLM integration patterns for Claude, GPT, Gemini, and Ollama. Features API handling, prompt engineering, token management, and model-agnostic orchestration.
A toolkit for building robust LLM integrations: API patterns, streaming, function calling, RAG pipelines, and cost-effective model routing.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
Audit and synchronize the supported LLM model list in assets.py against the authoritative litellm registry.
Generates llms.txt and llms-full.txt files to provide LLM-friendly documentation and project context.
Official n8n workflow automation support for building, debugging, and scaling complex business processes and AI-powered integrations.
A framework for managing the end-to-end LLM project lifecycle, from evaluating task-model fit and pipeline architecture design to implementing structured output parsing and agent-assisted development.
AI-powered browser automation server for web interaction, data extraction, and research using the Model Context Protocol.
Analyze local system hardware (RAM, CPU, GPU/VRAM) to receive expert recommendations for optimized local LLM models, quantization settings, and performance estimates.
Automate Discord server operations including message management, channel organization, and role assignments via MCP.
A structured repository of Agent Skills for context engineering, multi-agent architectures, and production-grade agent system optimization.