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skillboardWorkflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says "robotics idea discovery", "机器人找idea", "embodied AI idea", "机器人方向探索", "sim2real 选题", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
Robotics Idea Discovery Pipeline Orchestrate a robotics specific idea discovery workflow for: $ARGUMENTS Overview This skill chains four sub skills into a single automated pipeline: But every phase must be grounded in robotics specific constraints: Embodiment : arm, mobile manipulator, drone, humanoid, quadruped, autonomous car, etc. Task family : grasping, insertion, locomotion, navigation, manipulation, rearrangement, multi step planning Observation + action interface : RGB/RGB…
Full body not shown for this license – view the source on GitHub →Copy a source-pinned command for your client. You run it yourself.
Destination: .claude/skills/idea-discovery-robot · pinned to the source commit
git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git
cd Auto-Empirical-Research-Skills
git checkout 692e9fa3fea40bbdf614584d461851f8fb968ac2
mkdir -p ".claude/skills/idea-discovery-robot"
cp -r "skills/42-wanshuiyin-ARIS/skills/idea-discovery-robot" ".claude/skills/idea-discovery-robot"Review the source before running. This copies files into your project; it is not a one-click install and does not verify runtime safety.
Scanner static-checks@0.1.0 · commit 692e9fa3fea4. Static checks cannot prove runtime safety – review the source and the exact diff before installing. How checks work.
Uses encoding/eval patterns that can hide executable content.
Evidence: [redacted]· fingerprint 7f712a33096ba821