AI-Research-SKILLs

插件

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

Orchestra-ResearchGitHub 公开资源索引Claude Code

安装与使用

13,055 GitHub Stars23 个插件包98 项组成内容Stars 同步于 2026年9月27日

概览安装与使用包含内容源码

inference-serving

Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.

Claude Code

共 23 个插件包，通过下方列表选择查看。

共 4 项匹配内容，示例会单独标注；未声明归属的内容不代表插件自动包含。

llama-cpp技能

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is una

所属插件包：inference-serving

serving-llms-vllm技能

Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throu

所属插件包：inference-serving

sglang技能

Fast structured generation and serving for LLMs with RadixAttention prefix caching. Use for JSON/regex outputs, constrained decoding, agentic workflows with too

所属插件包：inference-serving

tensorrt-llm技能

Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need

所属插件包：inference-serving

关于项目

原作者: Orchestra-Research
许可证: MIT
上游更新: 2026年6月16日
内容扫描: 2026年9月27日

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