open-robot-skills plugin
A library of 31 manipulation skills and 8 tool bundles for the GaP robotics engine in the Agent Skills format.
- 64 ★ on the repository
- Last commit
Broad access
Why this level
- The skills generate graphs that move a manipulator in simulation or on a robot.
- Installation pulls heavy dependencies, including a CUDA build.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add plugins/open-robot-skillsDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewBroad accessThe tool can change data, run commands or handle secrets.
- The skills generate graphs that move a manipulator in simulation or on a robot.
- Installation pulls heavy dependencies, including a CUDA build.
This is third-party code. Review the repository files before installing.
What it does
The repository holds manipulation skills and model-backed tool bundles for GaP, graph as policy. The language model pipeline composes them into executable robot action graphs. Each bundle is one directory with one `SKILL.md` file, so adding a capability comes down to a single pull request. A skill owns subgraphs of generated workflows: the `SKILL.md` body is the guidance for the subgraph agent, scripts in `scripts/` supply canonical recipes and declared `exit_conditions` drive downstream routing. Closed-loop VLA policies such as `pi05-libero` live under `policies/`. Clone the repository next to GaP or set `GAP_SKILLS_PATH` and the `gap run`, `gap generate` and `gap benchmark` commands discover it on their own.
Who it is for. Robotics researchers working with GaP who want to extend what a robot can do with skills and tools.
Good fit when
- A new manipulation capability is added to GaP as one directory with a `SKILL.md`.
- Model bundles such as `sam3` or `grounding-dino` are set up with `uv run gap skills install`.
- The install is verified and weights prefetched with `uv run gap skills check --download`.
- GaP graphs are searched and run through Claude Code using the same registry.
Not a fit when
- You have no GaP engine: the set works only together with it.
- You have no GPU or environment for heavy models and CUDA builds.
- You need general development skills rather than robotics.
Example request
Find in the open-robot-skills registry the skill that pins a cable's free end with the support hand and prepare a graph for the task.Limitations
The set is built for GaP and of little use without it. Tool bundles install one at a time with `uv run gap skills install <bundle>` or all at once, each with its own `pyproject.toml`. `curobo` compiles CUDA code on install, so `CUDA_HOME` is needed. The `uv.lock` file pins the acceptance run environment, and the Apache-2.0 licence covers the repository code and docs while model weights and dependencies carry their own terms. The skills drive manipulator motion, so run them in simulation first.
How to disable. Remove the installed bundles with `uv` in the GaP environment and delete the cloned directory from `GAP_SKILLS_PATH`.
FAQ
How do I connect the registry to GaP?
Clone the repository next to `graph-as-policy` or set `GAP_SKILLS_PATH`. Nothing else needs registering.
How do I install all bundles?
In the GaP directory run `uv sync`, then `uv run gap skills install --all`.
Can it be used as a Claude Code marketplace?
Yes, `.claude-plugin/marketplace.json` indexes every bundle, and to drive GaP itself install `claude plugin install gap@gap`.
Where do VLA policies live?
Under `policies/`, for example `pi05-libero` and `molmoact-libero`. They connect through the policy plane rather than the skill registry.
How do I verify the install?
With `uv run gap skills check --download`: it verifies bundles and prefetches model weights.
Discussion
No questions or reviews yet.
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README in short
The repository describes manipulation skills and tools, install and checkout verification. There is a section on contributing a bundle and using it with Claude Code.