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Haibarakiku
GitHub 创作者资料

Haibarakiku

按仓库查看 2 个 GitHub 仓库中的 119 个已收集 skills。

已收集 skills
119
仓库
2
更新
2026年5月13日
仓库浏览

仓库与代表性 skills

gerrit-permission-manager
网络与计算机系统管理员

Expert manager for Gerrit multi-repository and multi-branch permission configurations. Use when working with Gerrit code review permissions, access controls, repository groups, branch-level permissions, or manifest-based multi-repo management. Use when:…

2026年4月21日
cuda-expert
软件开发工程师

CUDA expert: GPU kernel programming, memory management (global/shared/local), warp divergence, stream concurrency, cuBLAS/cuFFT integration. Use when writing GPU-accelerated code with CUDA.

2026年4月21日
huggingface-expert
数据科学家

Hugging Face expert: Transformers, Datasets, PEFT (LoRA/QLoRA), model fine-tuning, GGUF quantization, Text Generation Inference, pipeline optimization. Use when working with pretrained models, fine-tuning LLMs, or building NLP applications.

2026年4月21日
jupyter-expert
数据科学家

Jupyter expert: magic commands, nbconvert, JupyterLab extensions, remote setup, ipywidgets, profiling, debugging, cell decorators, papermill for automation. Use when working with Jupyter notebooks, data exploration, or building ML experiments.

2026年4月21日
langchain-expert
数据科学家

LangChain expert: LCEL (LangChain Expression Language), chains, agents, RAG pipelines, tool calling, memory, callbacks, output parsers, retrieval strategies. Use when building LLM applications, RAG systems, or AI agents with LangChain.

2026年4月21日
llama-index-expert
数据科学家

Invoke when: User needs help with LlamaIndex RAG pipelines, index types, query engines, or vector stores. Provides: Index selection, embedding configuration, retrieval strategies, and pipeline optimization.

2026年4月21日
llm-serving-expert
网络与计算机系统管理员

LLM serving expert: vLLM, TensorRT-LLM, Triton Inference Server, quantization (INT8/FP8/GPTQ/AWQ), continuous batching, PagedAttention, KV cache management. Use when deploying LLMs for inference.

2026年4月21日
mlflow-expert
数据科学家

MLflow expert: experiment tracking, model registry, autologging, MLflow Projects, MLflow Models, model serving, A/B testing, feature store integration. Use when tracking ML experiments, managing models, or deploying ML models with MLflow.

2026年4月21日
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