Repository
open-edge-platform/physical-ai-studio agent skills
- skills
- 7
- GitHub stars
- 131
GitHub description: “Physical AI Studio is an end-to-end framework for training robots to perform tasks through imitation learning from human demonstrations.”
- Stars
- 131 (52 forks)
- Licence
- Apache-2.0
- Last push
- Oct 2026
- Created
- Aug 2025
Install all skills
npx skills add open-edge-platform/physical-ai-studioAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in open-edge-platform/physical-ai-studio, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Adds or modifies a Physical AI Studio policy under library/src/physicalai/policies. | open-edge-platform/ | 131 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Exports and validates Physical AI Studio policies for Runtime deployment. | open-edge-platform/ | 131 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Benchmarks a trained Physical AI Studio policy in a simulation gym and reports success metrics. | open-edge-platform/ | 131 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Trains, validates, tests, and runs prediction for Physical AI Studio policies via the library Lightning stack. | open-edge-platform/ | 131 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Works with Physical AI Studio datasets and Lightning datamodules built on the LeRobot format. | open-edge-platform/ | 131 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Adds a new interactive robot form UI field for plugin payload schemas. | open-edge-platform/ | 131 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Creates or modifies an external Physical AI robot plugin for Studio. | open-edge-platform/ | 131 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
Questions, answered from the data.
What is the best skill in open-edge-platform/physical-ai-studio?
Physicalai Train Adding A Policy from open-edge-platform/physical-ai-studio ranks first of the 7 skills in open-edge-platform/physical-ai-studio listed here, with the highest score: its repository has 131 GitHub stars, its SKILL.md loads about 1.4k tokens and it passes the automated safety check with no findings. Next come Physicalai Train Exporting And Validating and Physicalai Train Benchmarking A Policy.
Are the skills in open-edge-platform/physical-ai-studio official?
None yet. All 7 skills in open-edge-platform/physical-ai-studio listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from open-edge-platform/physical-ai-studio?
Run npx skills add open-edge-platform/physical-ai-studio in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.