Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.
EnglishBest practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.
EnglishBest practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
EnglishBest practices for LLM alignment techniques including RLHF, DPO, and instruction tuning. Use when working on alignment or safety.
EnglishBest practices for language model pretraining and fine-tuning. Use when generating or reviewing NLP training code.
EnglishBest practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
EnglishBest practices for reinforcement learning policy optimization. Use when working on RL agents, PPO, SAC, or reward design.
EnglishUse AutoResearchClaw when an agent should turn a raw research topic into literature review, experiment planning, draft writing, and verification artifacts instead of improvising an end-to-end paper workflow by hand.
EnglishIncludes Cv Classification, Cv Detection, Experimental Design, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Cv Classification
Best practices for image classification tasks. Use when working on CIFAR, ImageNet, or other classification benchmarks.
Cv Detection
Best practices for object detection tasks. Use when working on COCO, VOC, or detection architectures like YOLO and DETR.
Experimental Design
Best practices for designing reproducible ML experiments. Use when planning ablations, baselines, or controlled experiments.
Nlp Alignment
Best practices for LLM alignment techniques including RLHF, DPO, and instruction tuning. Use when working on alignment or safety.
Nlp Pretraining
Best practices for language model pretraining and fine-tuning. Use when generating or reviewing NLP training code.
PyTorch Training
Best practices for building robust PyTorch training loops. Use when generating or reviewing ML training code.
Rl Policy Optimization
Best practices for reinforcement learning policy optimization. Use when working on RL agents, PPO, SAC, or reward design.
Turn a Research Idea Into a Draft Paper Workflow with Autoresear
Use AutoResearchClaw when an agent should turn a raw research topic into literature review, experiment planning, draft writing, and verification artifacts instead of improvising an end-to-end paper workflow by hand.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Cv Classification skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- License details are not provided in these listings. Check the author’s terms before using the skills.