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SKILL.md
Environments
ASecurity"Create, configure, step, validate, and wrap standardized robosuite
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- Added September 9, 2026
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[](https://www.skillsdirectory.com/skills/vectorspacelab-environments-72f38f3b)---
name: environments
description: "Create, configure, step, validate, and wrap standardized robosuite
manipulation envs."
disable-model-invocation: true
metadata:
disco-role: operating
license: NOASSERTION
---
# Environments
Use this sub-skill for standardized `robosuite` manipulation envs, including `suite.make`, `MujocoEnv`, `RobotEnv`, `Lift`, `TwoArmLift`, and the other registered task envs.
## Use this sub-skill for
- selecting `env_name`, `robots`, `env_configuration`, and `gripper_types`
- creating single-arm and two-arm envs
- reading `action_spec` / `action_dim`
- choosing `use_object_obs` vs `use_camera_obs`
- understanding rewards, `horizon`, `ignore_done`, and `seed`
- using `GymWrapper`
- running safe random-policy smoke loops
## Do not use this sub-skill for
- controller internals and action-vector composition → `../controllers`
- rendering backend or pixel troubleshooting → `../rendering`
- teleoperation or demo capture → `../teleoperation`
- custom env/model creation
## Start here
- `references/api-reference.md`
- `references/observations-and-rewards.md`
- `references/workflows.md`
- `references/troubleshooting.md`
## Bundled scripts
- `scripts/run_random_policy.py` — small random rollout with action/observation summaries
- `scripts/gym_wrapper_smoke.py` — Lift/Panda GymWrapper smoke step
## Notes
- Optional capabilities such as `robosuite_models`, `mink`, HID devices, `usd-core`, Isaac/Omniverse, and on-screen display are environment-dependent.
- Keep the core standardized env workflows working without those optional pieces.
## Related sub-skills
- `../controllers`
- `../rendering`
- `../teleoperation`
Files in this skill
- SKILL.md
- references/api-reference.md
- references/observations-and-rewards.md
- references/troubleshooting.md
- references/workflows.md
- scripts/gym_wrapper_smoke.py
- scripts/run_random_policy.py
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