Kubeshark Installer
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
A skill your agent uses for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows.
Install Protomotions
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill protomotions --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .claude/skills/protomotions && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .claude/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotionsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill protomotions --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .agents/skills/protomotions && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .agents/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill protomotions --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .cursor/skills/protomotions && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .cursor/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/protomotions--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill protomotions --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .gemini/skills/protomotions && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .gemini/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill protomotionsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .github/skills/protomotions && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .github/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill protomotions --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/protomotions .opencode/skills/protomotions && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "protomotions" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/protomotions into .opencode/skills/protomotions/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "protomotions", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
protomotions- GitHub stars
- 330
- Token cost
- ~1.1k tokens
- SKILL.md length
- 397 words
- Files
- 9 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows.
- Works in 6 steps: ProtoMotions intentionally uses separate… → IsaacGym and IsaacLab must be imported… → The wheel/package ships Python modules… → …
- ProtoMotions 3 humanoid simulation
- SKILL.md covers Fast routing, What to know before acting, Minimal install and inspection… and Repo-level references, plus 1 more section
- Runs Python scripts from its folder
What it does
Protomotions is an agent skill from VectorSpaceLab/AREX-Skill. Use this skill for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/cli-and-config.md`, `references/install-and-backends.md` and `references/quick-reference.md`).
It sits in DevOps & Cloud, covering Deployment. The repository describes itself as: A Skill Library for Automated Machine Learning. The licence is Apache-2.0.
When your agent uses it
- ProtoMotions 3 humanoid simulation
- Motion-learning
- Simulator-backend
- Deployment workflows
Example prompts
- “/protomotions”
Requirements
- Python 3
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- ProtoMotions intentionally uses separate environments per simulator backend. Do not install all extras into one environment.
- IsaacGym and IsaacLab must be imported before importing torch; use protomotions.utils.simulator_imports.import_simulator_before_torch() in…
- The wheel/package ships Python modules and most robot assets, but examples, checkpoints, MotionLib data, and some conversion helpers are…
- SMPL/SMPL-H body-model assets are intentionally excluded from built distributions. Use a complete licensed asset tree and set…
- resolved_configs.pt and resolved_configs_inference.pt are the source of truth for trained runs; YAML sidecars are human-readable only.
- Cross-simulator transfer is not automatic. It is expected mainly for policies explicitly trained with transfer-oriented domain…
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Protomotions loads about 1.1k tokens when it runs, and up to ~6.4k if it reads all its reference files. Until then it costs about 41 tokens; SKILL.md has 397 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from VectorSpaceLab/AREX-Skill at commit ac3fe1a, republished under its Apache-2.0 licence (© VectorSpaceLab). 397 words, ~1,111 tokens.
Download SKILL.mdSave it as
.claude/skills/protomotions/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- protomotions
- description
- Use this skill for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows.
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- Apache 2.0
ProtoMotions
Use this repo skill when a task involves ProtoMotions 3 (protomotions), a Python framework for GPU-accelerated humanoid and character simulation, motion imitation, retargeting, reinforcement-learning experiments, and G1 deployment workflows.
Fast routing
- Install/import/backend issue: read
sub-skills/installation-and-backends/SKILL.md, thenreferences/troubleshooting.mdif assets or simulator imports fail. - Simulator, robot, terrain, scene, or tutorial-style construction: read
sub-skills/simulator-foundations/SKILL.md. - Training, inference, experiment configs, checkpoints, domain randomization, SLURM, or GPC/PEFT: read
sub-skills/training-and-experiments/SKILL.md. - MotionLib, AMASS/PHUMA/SEED/Kimodo data conversion, PyRoki retargeting, contacts, FPS, or motion filters: read
sub-skills/retargeting-and-motion-data/SKILL.md. - ONNX export, standalone MuJoCo deployment, G1 real-robot integration, custom robots, MJCF/USD, or tracker input semantics: read
sub-skills/deployment-and-robots/SKILL.md.
What to know before acting
- ProtoMotions intentionally uses separate environments per simulator backend. Do not install all extras into one environment.
- IsaacGym and IsaacLab must be imported before importing
torch; useprotomotions.utils.simulator_imports.import_simulator_before_torch()in custom scripts. - The wheel/package ships Python modules and most robot assets, but examples, checkpoints, MotionLib data, and some conversion helpers are source-checkout assets. A source checkout with Git LFS is required for packaged examples or pretrained artifacts.
- SMPL/SMPL-H body-model assets are intentionally excluded from built distributions. Use a complete licensed asset tree and set
PROTOMOTIONS_ASSET_ROOTwhen those assets are missing. resolved_configs.ptandresolved_configs_inference.ptare the source of truth for trained runs; YAML sidecars are human-readable only.- Cross-simulator transfer is not automatic. It is expected mainly for policies explicitly trained with transfer-oriented domain randomization, especially the documented G1 deployment tracker.
Show full SKILL.md (164 more words)Show less
Minimal install and inspection checks
After selecting a backend environment, run:
protomotions info --json
protomotions train-agent --help
protomotions inference-agent --helpFor a Python smoke without starting a simulator:
from protomotions.robot_configs.factory import robot_config
from protomotions.simulator.factory import get_simulator_config_class
from protomotions.components.motion_lib import MotionLibConfig
print(robot_config("g1").number_of_actions)
print(get_simulator_config_class("mujoco").__name__)
print(MotionLibConfig().motion_file)The bundled script scripts/inspect_protomotions_install.py performs the same checks and emits JSON.
Repo-level references
references/quick-reference.md: compact command, object, and file-artifact cheat sheet.references/install-and-backends.md: backend environment choices and simulator compatibility summary.references/cli-and-config.md: train/inference CLI conventions and resolved-config lifecycle.references/troubleshooting.md: cross-cutting failures for imports, assets, data, checkpoints, simulator backends, and deployment.references/repo-provenance.md: source commit, version, evidence paths, and verification baseline for this generated skill.references/repo-routing-metadata.json: structured scenario metadata used by repo-skill import tooling.
Safety and scope boundaries
- Treat full training, simulator rollout, PyRoki retargeting, ONNX deployment, IsaacLab conversion, and real-robot control as hardware/data-dependent operations. Prefer parser/import/config checks before long runs.
- Do not run real-robot commands without explicit human authorization and an emergency-stop plan.
- Do not mutate a user's existing backend environment without permission; create a separate backend-specific environment when dependencies conflict.
- When using a package-only install, do not assume source-checkout examples or large Git LFS assets are present.
© VectorSpaceLab, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (scripts, references) in skills/repositories/repo-skills/protomotions of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/cli-and-config.md
- references/install-and-backends.md
- references/quick-reference.md
- references/repo-provenance.md
- references/repo-routing-metadata.json
- references/troubleshooting.md
- scripts/inspect_protomotions_install.py
- sub-skills
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Protomotions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Protomotions this skillVectorSpaceLab/AREX-Skill | 330 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Vercelremotion-dev/remotion | 63k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| AWS Cdk Developmentzxkane/aws-skills | 367 | 2 repos | ~2.5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Protomotions
What does Protomotions do?
A skill your agent uses for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows. Protomotions is an agent skill from VectorSpaceLab/AREX-Skill. Use this skill for ProtoMotions 3 humanoid simulation, motion-learning, retargeting, simulator-backend, training, inference, and deployment workflows.
When should I use Protomotions?
Protomotions fits situations like: protoMotions 3 humanoid simulation; motion-learning; simulator-backend; deployment workflows.
How do I install Protomotions in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/protomotions in VectorSpaceLab/AREX-Skill) into .claude/skills/protomotions in your project. Claude Code loads it when a task matches its description.
How do I install Protomotions in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a codex`. Or copy the skill folder (skills/repositories/repo-skills/protomotions in VectorSpaceLab/AREX-Skill) into .agents/skills/protomotions in your project. Codex loads it when a task matches its description.
Can I use Protomotions in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add VectorSpaceLab/AREX-Skill --skill protomotions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/protomotions, .gemini/skills/protomotions, .github/skills/protomotions and .opencode/skills/protomotions in your project.
What does Protomotions need to run?
Going by SKILL.md and its folder, Protomotions needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Protomotions access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Protomotions safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Protomotions use?
Protomotions is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Protomotions use?
About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.3k tokens, read only when the agent opens those files.
What are the alternatives to Protomotions?
Skills that share tags, products or a category with Protomotions: Kubeshark Installer (kubeshark/kubeshark, 12k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars) and Vercel (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Protomotions?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.