🎯Skills100
Assists AI researchers in drafting, structuring, and generating machine learning research papers with academic writing best practices and technical precision.
Structured ideation frameworks for discovering high-impact research directions with 10 complementary lenses (384 lines). Part of orchestra-research/ai-research-skills.
MLflow experiment tracking and model management skill from Orchestra Research, part of the most comprehensive open-source AI research engineering skills library with 83 skills.
vLLM serving skill from Orchestra Research for deploying and serving large language models with high throughput and low latency.
FAISS vector search skill from Orchestra Research for efficient similarity search and dense vector clustering in AI research workflows.
TensorRT-LLM skill from Orchestra Research for optimizing and deploying large language models with NVIDIA TensorRT acceleration.
A Claude Code skill providing cognitive science frameworks (bisociation, structure-mapping, constraint manipulation) for generating genuinely novel research ideas.
Provides Ray Train distributed training patterns, part of the most comprehensive open-source AI research engineering skills library for AI agents.
Prompt guard skill from the AI Research Skills library for detecting and preventing prompt injection, jailbreaks, and adversarial inputs.
Generates high-quality, customizable AI images from text prompts using advanced Stable Diffusion models with fine-tuned control over style and content.
Skill for distributed data processing with Ray Data, covering dataset pipelines, parallel transformations, and scalable data loading for ML training workflows.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to use Hugging Face Accelerate for distributed training and mixed-precision optimization of ML models.
A skill from the AI Research Engineering Skills Library for quantizing machine learning models using bitsandbytes, part of a comprehensive open-source collection of AI research engineering skills for AI agents.
A verl rl training skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A knowledge distillation skill from the AI Research Engineering Skills Library, the most comprehensive open-source collection of AI research engineering skills for AI agents.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement LangChain for building LLM-powered applications with chains, agents, and retrieval-augmented generation.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement LlamaIndex for building data-augmented LLM applications with structured data indexing and retrieval.
A modal serverless gpu skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A skill from the AI Research Engineering Skills Library that provides guidance on using DeepSpeed for distributed training and optimization of large-scale AI models.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to work with Sentence Transformers for generating text embeddings and semantic similarity tasks.
A speculative decoding skill from the AI Research Engineering Skills Library, providing techniques for accelerating large language model inference using speculative decoding methods.
A skill from the AI Research Engineering Skills Library for training large language models with Megatron, providing patterns for distributed training at scale using NVIDIA's Megatron-LM framework.
A PyTorch Lightning skill from the AI Research Engineering Skills Library, providing patterns for structuring and scaling deep learning training workflows using the PyTorch Lightning framework.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement Chroma vector database for embedding storage, similarity search, and retrieval-augmented generation pipelines.
A unsloth skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A sparse autoencoder training skill from the AI Research Engineering Skills Library, providing patterns for training sparse autoencoders for mechanistic interpretability and feature extraction in neural networks.
A pyvene interventions skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A constitutional ai skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A CrewAI multi-agent skill from the AI Research Engineering Skills Library, providing patterns for building multi-agent systems using the CrewAI framework for collaborative AI research workflows.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement HQQ (Half-Quadratic Quantization) for efficient model compression with minimal accuracy loss.
A skill from the AI Research Engineering Skills Library providing guidance on AWQ (Activation-aware Weight Quantization) techniques for compressing and optimizing large language models.
A long-context handling skill from the AI Research Engineering Skills Library, the most comprehensive open-source collection of AI research engineering skills for AI agents.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement GGUF quantization for converting and compressing large language models into the GGUF format for efficient inference.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement LangSmith observability for monitoring and tracing LLM application performance.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement NVIDIA NeMo Guardrails for LLM safety, covering jailbreak detection, input/output validation, and hallucination detection.
The most comprehensive open-source library of AI research engineering skills for AI agents, covering interpretability, transformer analysis, and machine learning research workflows.
A audiocraft audio generation skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A LlamaGuard skill from the AI Research Engineering Skills Library, providing guidance on using Meta's LlamaGuard models for AI safety classification and content moderation in research workflows.
NeMo Curator skill from the AI Research Engineering skills library, providing guidance for data curation workflows used in training large language models.
An SGLang skill from the AI Research Engineering Skills Library, providing research engineering knowledge for AI agents working with the SGLang framework.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement GRPO (Group Relative Policy Optimization) for reinforcement learning training of language models.
A Qdrant vector search skill from the AI Research Engineering Skills Library, part of a comprehensive open-source collection of AI research engineering skills for AI agents.
An OpenRLHF training skill from the AI Research Engineering Skills Library, providing guidance on reinforcement learning from human feedback training techniques as part of 83 AI research skills across 20 categories.
A SkyPilot multi-cloud orchestration skill from the AI Research Engineering Skills Library, the most comprehensive open-source library of AI research engineering skills for AI agents.
A whisper skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A skill from the AI Research Engineering Skills Library providing Phoenix observability integration for AI research workflows, part of a comprehensive open-source collection of AI research engineering skills for AI agents.
A Flash Attention optimization skill from the AI Research Engineering Skills Library, providing guidance on optimizing attention mechanisms for efficient transformer inference as part of 83 AI research skills.
A blip 2 vision language skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement Pinecone vector database for similarity search, RAG pipelines, and embedding storage in AI applications.
Model pruning skill from the AI Research Engineering skills library, providing guidance on neural network model compression and optimization techniques for AI research workflows.
A evaluating llms harness skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A nnsight remote interpretability skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
Hugging Face Tokenizers skill from the AI Research Engineering skills library, providing guidance for text tokenization workflows used in NLP and language model development.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement Meta's Segment Anything Model (SAM) for image segmentation tasks in multimodal AI research.
A DSPy skill from the AI Research Engineering Skills Library, providing patterns for building and optimizing language model programs using the DSPy framework as part of a comprehensive AI research skills collection.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement MILES (Model-based Imitation Learning from Extreme States) reinforcement learning training for robust policy optimization.
A fine tuning with trl skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
An Instructor skill from the AI Research Engineering Skills Library, providing guidance on structured output extraction from language models as part of 83 research skills across 20 categories.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement Mixture of Experts (MoE) training for building sparse, efficient large language models.
A SimPO training skill from the AI Research Engineering Skills Library, providing patterns for implementing Simple Preference Optimization training for language model alignment.
A SLIME reinforcement learning training skill from the AI Research Engineering Skills Library, providing guidance on RL training techniques as part of 83 AI research skills across 20 categories.
A llama cpp skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A llama factory skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A torchforge rl training skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A axolotl skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
Systematically assess machine learning code generation models by benchmarking performance, identifying strengths/weaknesses, and generating comparative metrics.
A sentencepiece skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRA and QLoRA for adapting large language models.
A distributed llm pretraining torchtitan skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A clip skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
NanoGPT skill from the AI Research Engineering skills library, providing guidance for training small-scale GPT language models for AI research and experimentation.
A pytorch fsdp2 skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A model merging skill from the AI Research Engineering Skills Library, a comprehensive open-source collection of AI research engineering skills for AI agents.
A weights and biases skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A skill from the AI Research Engineering Skills library that teaches AI coding agents how to implement GPTQ (GPU-optimized post-training quantization) for compressing large language models while maintaining accuracy.
A Guidance skill from the AI Research Engineering Skills Library, providing guidance on constrained generation and structured output from language models as part of 83 research skills across 20 categories.
An Outlines skill from the AI Research Engineering Skills Library, providing guidance on structured text generation and constrained decoding for language models as part of 83 AI research skills across 20 categories.
A mamba architecture skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
AutoGPT agents skill from the AI Research Engineering skills library, providing specialized knowledge for working with autonomous AI agent frameworks in research contexts.
Skill for Lambda Labs GPU cloud operations from the AI Research Engineering skills library, covering AI research infrastructure including GPU cloud management for machine learning workloads.
An RWKV architecture skill from the AI Research Engineering Skills Library, a comprehensive open-source collection of AI research engineering skills for AI agents.
A llava skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A tensorboard skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A implementing llms litgpt skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
A nemo evaluator sdk skill from AI Research Skills by Orchestra Research, providing skills for academic research, paper analysis, and scientific workflows.
An academic plotting skill from AI Research Skills, a library of 87 skills across 22 categories enabling AI agents to autonomously conduct AI research from idea to paper, covering model architecture, training, evaluation, and more.
The most comprehensive open-source skills library enabling AI agents to autonomously conduct AI research from idea to paper, with 87 skills across 22 categories including model architecture, fine-tuning, distributed training, inference, and safety.
A skill from the Orchestra AI Research Skills library that teaches AI agents to use SwanLab for experiment tracking, enabling logging of metrics, hyperparameters, and visualizations during machine learning research workflows.
Skill
Part of Orchestra Research's comprehensive AI research skills library enabling agents to autonomously conduct AI research from idea to paper. Provides guidance on fine-tuning OpenVLA models using Orthogonal Fine-Tuning (OFT) for vision-language-action model adaptation.
Part of a comprehensive AI research skills library with 87 skills across 22 categories, enabling AI agents to autonomously conduct AI research from literature survey and idea generation through experiment execution to paper writing.
Part of the AI Research Skills Library by Orchestra Research, a comprehensive collection of 87 skills enabling AI agents to autonomously conduct AI research from idea to paper. This skill focuses on ML training recipes within the broader library covering model architecture, fine-tuning, distributed training, inference, and more.
The most comprehensive open-source skills library enabling AI agents to autonomously conduct AI research from idea to paper, including conference talk presentation.
Guides AI agents through writing systems-oriented ML research papers, part of a comprehensive 87-skill library covering the full AI research lifecycle from literature survey and ideation through experiment execution to paper writing.
Part of the Orchestra Research AI Research Skills library, a comprehensive collection of 87 skills across 22 categories enabling AI agents to autonomously conduct AI research from idea to paper. Covers model architecture, fine-tuning, distributed training, inference, RAG, multimodal, agents, mechanistic interpretability, and more.
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🔌Plugins20
Prompt-engineering category of the AI Research Engineering Skills library — 4 skills covering DSPy (declarative prompt programming), Instructor (Pydantic-validated structured outputs), Guidance (regex/grammar-constrained generation), and Outlines (FSM-based structured text).
Emerging-techniques category of the AI Research Engineering Skills library — 6 skills covering Mixture-of-Experts training, Model Merging (TIES/DARE/SLERP via mergekit), Long Context (RoPE/YaRN/ALiBi), Speculative Decoding, Knowledge Distillation, and Model Pruning.
AI research skill for writing publication-ready ML papers for top conferences (NeurIPS, ICML, ICLR, ACL, AAAI, COLM) with LaTeX templates and citation verification.
A collection of 4 AI safety and alignment research skills covering Constitutional AI, LlamaGuard safety classifier, NeMo programmable guardrails with Colang, and Meta's Prompt Guard injection detector — part of Orchestra Research's AI research engineering skills.
A collection of 7 multimodal AI research skills covering CLIP, Whisper, LLaVA, BLIP-2, SAM, Stable Diffusion, and AudioCraft — part of Orchestra Research's 83 AI research engineering skills for coding agents.
A tokenization skill from the AI Research Engineering Skills Library, which offers 83 skills across 20 categories covering model architecture, fine-tuning, inference, and other AI research areas.
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