lazyllm-skill
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.
graflow-workflow
Create Python workflow pipelines using Graflow with a structured plan-implement-review process. Use when building task graphs, parallel pipelines, LLM workflows, or any Graflow-based automation. Triggers on requests for "workflow", "pipeline", "task graph", "Graflow", or when user wants to build an automated data/AI pipeline.