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

agent-native-research-artifact

Agent-Native Research Artifact (ARA) tooling: compile any research input (paper, repo, notes) into a structured artifact, record session provenance as a post-task epilogue, and run Seal Level 2 epistemic review. Use when ingesting research into a falsifiable, agent-traversable artifact, capturing how a research project actually evolved, or auditing an ARA for evidence-claim alignment.

Claude Code

agents

LLM agent frameworks including LangChain, LlamaIndex, CrewAI, and AutoGPT. Use when building chatbots, autonomous agents, or tool-using systems.

Claude Code

autoresearch

Autonomous research orchestration using a two-loop architecture. Manages the full research lifecycle from literature survey to paper writing, routing to domain-specific skills for execution. Use when starting a research project, running autonomous experiments, or managing multi-hypothesis research.

Claude Code

data-processing

Data curation and processing at scale including NeMo Curator and Ray Data. Use when preparing training datasets or processing large-scale data.

Claude Code

distributed-training

Multi-GPU and multi-node training including DeepSpeed, PyTorch FSDP, Accelerate, Megatron-Core, PyTorch Lightning, and Ray Train. Use when training large models across GPUs.

Claude Code

emerging-techniques

Advanced ML techniques including MoE Training, Model Merging, Long Context, Speculative Decoding, Knowledge Distillation, and Model Pruning. Use when implementing cutting-edge optimization or architecture techniques.

Claude Code

共 23 个插件包，通过下方列表选择查看。

共 98 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。

weights-and-biases技能

Track ML experiments with automatic logging, visualize training in real-time, optimize hyperparameters with sweeps, and manage model registry with W&B - collabo

所属插件包：mlops

whisper技能

OpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes fr

所属插件包：multimodal

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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