菜单
Run the baseline-free LIBERO-Pro Fix Loop: inspect one initial observed scene, generate task-level code, debug failures on seeds 51–65 using traces and keyframes, validate on seeds 1–50, and promote reusable patterns.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/NVlabs/ASPIRE --skill libero-fix-loop命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Use for the current YAM full demo, yam_demo.sh, bottle rack, KitKat handover/trash, bowl/can commands, and canonical saved-script commands.
Use for YAM DOF, coordinate directions, tabletop/rack/trash geometry, camera frames, gripper geometry, and contact/placement offsets.
Use for YAM object detection, grasp candidate generation, side/top-down/rim pickup choices, staged gripper close, contact evidence, lift-only checks, and pickup failures.
基于 SOC 职业分类
正在显示 SKILL.md
| name | libero-fix-loop |
| description | Run the baseline-free LIBERO-Pro Fix Loop: inspect one initial observed scene, generate task-level code, debug failures on seeds 51–65 using traces and keyframes, validate on seeds 1–50, and promote reusable patterns. |
Use this skill for Experiment 1. Start with INSTRUCTIONS.md.
scripts/libero/record_skill_promotion.py before dispatching the next Stage 1 task. Held-out outcomes never drive skill edits.No external baseline code or baseline output directory is used.