Repository

dimensionalOS/dimos agent skills

Every skill in the dimensionalOS/dimos repository on GitHub, ranked by score, with the commands to install them.
skill
1
GitHub stars
4.6k

GitHub description: “Dimensional is the agentic operating system for physical space. Command humanoids, quadrupeds, drones, and other hardware platforms in natural language and build multi-agent systems that work seamlessly with physical input (cameras, lidar, actuators).”

Stars
4,626 (820 forks)
Licence
Unknown
Last push
Oct 2026
Created
Oct 2024

Install all skills

skills CLI (any agent)
npx skills add dimensionalOS/dimos

Add --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).

Skills in dimensionalOS/dimos, ranked

Skills in dimensionalOS/dimos, ranked
#SkillRepositoryStarsUsed inTokensAuto-checkLicenceUpdated
1

Rules for writing, fixing and reviewing pytest unit tests that are hermetic: behavior-focused, deterministic, isolated and cheap to run.

dimensionalOS/dimos4.6k—~1.4kAutomated safety check: PassUnknowntoday

Questions, answered from the data.

What is the best skill in dimensionalOS/dimos?

Hermetic Python Unit Tests from dimensionalOS/dimos ranks first of the 1 skills in dimensionalOS/dimos listed here, with the highest score: its repository has 4.6k GitHub stars, its SKILL.md loads about 1.4k tokens and it passes the automated safety check with no findings.

Are the skills in dimensionalOS/dimos official?

None yet. All 1 skills in dimensionalOS/dimos 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 dimensionalOS/dimos?

Run npx skills add dimensionalOS/dimos 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.

Products these skills work with