executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
isaaclabUse IsaacLab for robotics simulation, asset and sensor catalogs, task presets, RL wrappers, imitation learning, teleoperation, and repo tooling workflows.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this repo skill when the task names IsaacLab, the isaaclab package, or one of the repo’s major workflow packages and scripts.
references/repo-provenance.md first when checking whether this skill still matches the checkout../isaaclab.sh -i, or install only the core packages with ./isaaclab.sh -i core../isaaclab.sh -i isaacsim when you need the Isaac Sim based stack.python -m pip checkpython -I -c "import isaaclab, isaaclab_tasks, isaaclab_assets"./isaaclab.sh --helpscripts/inspect_isaaclab_install.py for a fast install and import summary.sub-skills/simulation-core/SKILL.md — launch simulation, choose physics and renderer backends, use AppLauncher, and reason about core runtime config.sub-skills/assets-and-sensors/SKILL.md — work with isaaclab_assets, robot and sensor configs, and asset catalog inspection.sub-skills/tasks-and-presets/SKILL.md — list environments, resolve preset selectors, and parse task configs.sub-skills/rl-training/SKILL.md — run train and play, choose RL libraries, and load checkpoints or video runs.sub-skills/imitation-and-teleop/SKILL.md — work with Mimic, teleoperation, OpenXR/CloudXR, and retargeters.sub-skills/tooling-and-deployment/SKILL.md — maintain docs, tests, conversion tools, changelog fragments, scaffolding, and deployment helpers../isaaclab.sh -p ... — run Python inside an Isaac Lab-aware environment../isaaclab.sh train ... / ./isaaclab.sh play ... — RL entrypoints../isaaclab.sh -t — run tests../isaaclab.sh -f — run formatting and lint hooks../isaaclab.sh -d — build docs from source../isaaclab.sh -n ... — scaffold a new project or task../isaaclab.sh -c / ./isaaclab.sh -u — create a new Conda or uv environment.references/installation-and-cli.md and references/troubleshooting.md.