Orchestra-Research/AI-Research-SKILLs

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.

About the project

AI Research Skills Library is a collection of reusable instructions that guide AI agents through research and machine-learning engineering tasks, from finding ideas and writing papers to training, evaluation, and deployment. It is for configuring agents such as Claude Code, Codex, and Gemini to perform research workflows.

12kStars on the repository
121Mods indexed here, across every type
2mo agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

model-architecture

01

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 5 skills · 378 tokens together

LLM architectures and implementations including LitGPT, Mamba, NanoGPT, RWKV, and TorchTitan. Use when implementing, training, or understanding transformer and alternative architectures.

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tokenization

02

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 2 skills · 153 tokens together

Text tokenization for LLMs including HuggingFace Tokenizers and SentencePiece. Use when training custom tokenizers or handling multilingual text.

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fine-tuning

03

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 4 skills · 219 tokens together

LLM fine-tuning frameworks including Axolotl, LLaMA-Factory, PEFT, and Unsloth. Use when fine-tuning models with LoRA, QLoRA, or full fine-tuning.

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data-processing

05

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 2 skills · 153 tokens together

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

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post-training

06

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 8 skills · 432 tokens together

RLHF and preference alignment including TRL, GRPO, OpenRLHF, SimPO, verl, slime, miles, and torchforge. Use when aligning models with human preferences, training reward models, or large-scale RL training.

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safety-alignment

07

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 4 skills · 258 tokens together

AI safety and content moderation including Constitutional AI, LlamaGuard, NeMo Guardrails, and Prompt Guard. Use when implementing safety filters, content moderation, or prompt injection detection.

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Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 6 skills · 372 tokens together

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.

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infrastructure

09

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 3 skills · 140 tokens together

GPU cloud and compute orchestration including Modal, Lambda Labs, and SkyPilot. Use when deploying training jobs or managing GPU resources.

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optimization

10

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 7 skills · 518 tokens together

Model optimization and quantization including Flash Attention, bitsandbytes, GPTQ, AWQ, GGUF, and HQQ. Use when reducing memory, accelerating inference, or quantizing models.

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evaluation

11

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 3 skills · 229 tokens together

LLM benchmarking and evaluation including lm-evaluation-harness, BigCode Evaluation Harness, and NeMo Evaluator. Use when benchmarking models or measuring performance.

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mlops

13

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 3 skills · 104 tokens together

ML experiment tracking and lifecycle including Weights & Biases, MLflow, and TensorBoard. Use when tracking experiments or managing models.

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agents

14

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 4 skills · 249 tokens together

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

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rag

15

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 5 skills · 305 tokens together

Retrieval-Augmented Generation including Chroma, FAISS, Pinecone, Qdrant, and Sentence Transformers. Use when building semantic search or document retrieval systems.

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multimodal

18

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 10 skills · 633 tokens together

Vision, audio, and multimodal models including CLIP, Whisper, LLaVA, BLIP-2, Segment Anything, Stable Diffusion, AudioCraft, Cosmos Policy, OpenPI, and OpenVLA-OFT. Use when working with images, audio, multimodal tasks, or vision-language-action robot policies.

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emerging-techniques

19

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 6 skills · 444 tokens together

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.

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ml-paper-writing

20

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 4 skills · 260 tokens together

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Includes LaTeX templates, citation verification, reviewer guidelines, publication-quality figure generation, systems paper structural blueprints, and conference presentation slides.

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ideation

21

Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 2 skills · 93 tokens together

Research ideation frameworks including structured brainstorming and creative thinking. Use when exploring new research directions, generating novel ideas, or seeking fresh angles on existing work.

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Orchestra-Research/AI-Research-SKILLs

Plugin Claude Code

Bundles 3 skills · 288 tokens together

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…

not rated 12k +139 2mo ago A tokens not measured original MIT

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