Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot…
Part of AI Research Skills (Orchestra)Pack · 98 skills
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Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.
Skills people install alongside fine-tuning-serving-openpi.
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Runs on your machine.
Runs on your machine.
Runs on your machine.
npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.copilot/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.cursor/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.claude/skills/fine-tuning-serving-openpi
/plugin marketplace add Orchestra-Research/AI-Research-SKILLs /plugin install rag@ai-research-skills
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.agents/skills/fine-tuning-serving-openpi
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Runs on your machine.
npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.gemini/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi .agents/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.openclaw/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.config/opencode/skills/fine-tuning-serving-openpi
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npx -y degit Orchestra-Research/AI-Research-SKILLs/18-multimodal/openpi ~/.hermes/skills/fine-tuning-serving-openpi
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Write a reviewSkills people install alongside fine-tuning-serving-openpi.
Has your agent write a tight, ready-to-paste prompt for the AI tool you name, from Claude Code and Cursor to Midjourney and Sora.
Turns a task into a copy-ready /goal command for Claude Code or Codex, with a checkable finish line and a stop bound.
The .NET team's skill for picking the right AI or ML stack in .NET 8+ apps, from ML.NET to Microsoft.Extensions.AI and Agent Framework.
Turn a repeated workflow, prompt set or SOP into a tested, packaged agent skill, or audit and improve a skill you already have.
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Safe to install in every agent it supports. Runs in your agent, as instructions.