LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.
How to install lazyllm-skill?
lazyagi/lazyllm/lazyllm-skill
$npx -y skills add lazyagi/lazyllm --skill lazyllm-skillInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/lazyagi/lazyllm" --skill "lazyagi/lazyllm/lazyllm-skill"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/lazyagi/lazyllm" that are relevant to the current task. Run `npx skills add "https://github.com/lazyagi/lazyllm"` and select the relevant skills, then follow their instructions.
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