Agent skill

Build Workspace

by AgibotTech in AgibotTech/genie_sim

Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.

MPL-2.0Auto-check passedDevOps & Cloud

Install Build Workspace

skills CLI
$ npx skills add AgibotTech/genie_sim --skill build-workspace -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgibotTech/genie_sim build-workspace --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .claude/skills/build-workspace && rm -rf skills-src

Use ~/.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/

Facts

Skill name
build-workspace
GitHub stars
1.4k
Token cost
~1.2k tokens
SKILL.md length
354 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
MPL-2.0

At a glance

Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.

  • Works in 5 steps: Confirm you're inside the container → (optional) Repair rosdep → Build → …
  • Asks to build ros workspace
  • SKILL.md covers When to Use, Critical Patterns, Workflow and Commands (copy-paste summary…, plus 2 more sections
  • Calls pip

What it does

Build Workspace is an agent skill from AgibotTech/genie_sim. Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb. Produces the ./devel overlay that every ros2 launch geniesimbringup … step depends on. Trigger: When the user asks to "build ros workspace", "编译 ros 工作空间", "colcon build", "build geniesimbringup", "set up the ROS overlay", or after a fresh geniesim docker into shell where the workspace isn't sourced yet.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: Simulation Platform from AgiBot. The licence is MPL-2.0.

When your agent uses it

  • Asks to build ros workspace
  • Build geniesimbringup
  • Set up the ROS overlay
  • After a fresh geniesim docker into shell where the workspace isnt sourced yet

Example prompts

  • “build ros workspace”
  • “编译 ros 工作空间”
  • “colcon build”
  • “/build-workspace”

Requirements

  • Python 3
  • Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Confirm you're inside the container
  2. (optional) Repair rosdep
  3. Build
  4. Source the overlay
  5. Cleanup (only when something is wedged)

What it can do on your machine

Read from SKILL.md and the folder at commit 6ca11c7. 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

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    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

Build Workspace loads about 1.2k tokens when it runs. Until then it costs about 113 tokens; SKILL.md has 354 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgibotTech/genie_sim at commit 6ca11c7, republished under its MPL-2.0 licence (© AgibotTech). 354 words, ~1,195 tokens.

Download SKILL.mdSave it as .claude/skills/build-workspace/SKILL.md (or your agent's skills folder).
name
build-workspace
description
Build the `geniesim_ros` colcon workspace inside the Genie Sim Docker container using the `geniesim ros build` CLI verb. Produces the `./devel` overlay that every `ros2 launch genie_sim_bringup …` step depends on. Trigger: When the user asks to "build ros workspace", "编译 ros 工作空间", "colcon build", "build genie_sim_bringup", "set up the ROS overlay", or after a fresh `geniesim docker into` shell where the workspace isn't sourced yet.
license
MPL-2.0
metadata.author
genie-sim
metadata.version
1.0
prerequisites
geniesim_cli:fresh-machine-setup

When to Use

  • First time entering the container in a fresh checkout.
  • After pulling new commits that touched any package under source/geniesim_ros/src/ros_ws/src/.
  • After running geniesim ros build cleanup and you want to rebuild from scratch.
  • Before invoking the launch-scene skill (its ros2 launch … step needs the workspace sourced).

Do not use for:

  • Installing the wheel layout that ships with pip install geniesim_ros — that's already built; just source the install tree.
  • Building a Release wheel for deploy → use geniesim deploy geniesim_ros.

Critical Patterns

  1. Run inside the container. The colcon toolchain and rosdep tree live in the Isaac Sim + Jazzy image; outside the container the build will pick up the wrong Python / Boost / Eigen.
  2. Dev vs Release. geniesim ros build dev produces a RelWithDebInfo + --symlink-install overlay at ./devel, ./devel_build, ./devel_log (intentionally namespaced so they can't collide with a release build under ./install). geniesim ros build release is for deploy, not for iteration.
  3. Always source devel/setup.bash after building. The shell environment doesn't carry the overlay automatically.
  4. rosdep first if anything fails. Missing apt-side dependencies are the #1 source of "package not found" build errors — run geniesim ros doctor before re-trying the build.

Workflow

Step 1 — Confirm you're inside the container
bash
geniesim status                       # should report all distributions OK
echo $ROS_DISTRO                      # should print "jazzy"

If $ROS_DISTRO is empty, you're on the host — geniesim docker into first.

Show full SKILL.md (141 more words)Show less
Step 2 — (optional) Repair rosdep
bash
geniesim ros doctor                   # check & fix rosdep deps
Step 3 — Build
bash
cd /workspace                         # repo root (mounted by `geniesim docker up`)
geniesim ros build dev                # RelWithDebInfo + symlink-install -> ./devel

Iteration loop after editing C++ / xacro / launch files:

bash
geniesim ros build dev                # re-runs incrementally thanks to symlink-install
Step 4 — Source the overlay
bash
source devel/setup.bash

Verify:

bash
ros2 pkg list | grep genie_sim         # should list the 10 genie_sim_* packages
Step 5 — Cleanup (only when something is wedged)
bash
geniesim ros build cleanup             # interactive prompt before removing devel*/build/install/log

Commands (copy-paste summary for the user)

bash
# Inside the container, from the repo root:
geniesim ros doctor                    # optional — fix rosdep first
geniesim ros build dev                 # build the overlay
source devel/setup.bash                # overlay the built workspace
ros2 pkg list | grep genie_sim         # sanity check

Notes

  • geniesim ros build is a thin wrapper around colcon build — the same flags work if you call colcon directly, but the CLI sets the right CMAKE_BUILD_TYPE, picks up $GENIESIM_WORKSPACE, and routes output to the namespaced ./devel* dirs.
  • geniesim ros graph writes colcon graph to geniesim_graph.png in the cwd — handy when you need to reason about which packages pull in which.
  • The bundled workspace is also installed system-wide via pip install geniesim_ros; that path is fine for running but not for iterating — every edit needs a rebuild, and pip won't pick up a symlink-install layout.

Resources

© AgibotTech, MPL-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

Just SKILL.md in source/geniesim_ros/skills/build-workspace of AgibotTech/genie_sim.

Open the folder on GitHubat commit 6ca11c7

Compare with similar skills

Build Workspace 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.

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Build Openshell Mxc WindowsNVIDIA/OpenShell15k—~4.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Build Workspace

What does Build Workspace do?

Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb. Build Workspace is an agent skill from AgibotTech/genie_sim. Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.

When should I use Build Workspace?

Build Workspace fits situations like: asks to build ros workspace; build geniesimbringup; set up the ROS overlay; after a fresh geniesim docker into shell where the workspace isnt sourced yet.

How do I install Build Workspace in Claude Code?

Run `npx skills add AgibotTech/genie_sim --skill build-workspace -a claude-code`. Or copy the skill folder (source/geniesim_ros/skills/build-workspace in AgibotTech/genie_sim) into .claude/skills/build-workspace in your project. Claude Code loads it when a task matches its description.

How do I install Build Workspace in Codex?

Run `npx skills add AgibotTech/genie_sim --skill build-workspace -a codex`. Or copy the skill folder (source/geniesim_ros/skills/build-workspace in AgibotTech/genie_sim) into .agents/skills/build-workspace in your project. Codex loads it when a task matches its description.

Can I use Build Workspace 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 AgibotTech/genie_sim --skill build-workspace -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/build-workspace, .gemini/skills/build-workspace, .github/skills/build-workspace and .opencode/skills/build-workspace in your project.

What does Build Workspace need to run?

Going by SKILL.md and its folder, Build Workspace needs the command-line tools its instructions call (pip). Our summary lists: Python 3; Docker.

Does Build Workspace access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Build Workspace 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. Review the folder before installing.

What licence does Build Workspace use?

Build Workspace is published under the MPL-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Build Workspace use?

About 1.2k tokens (SKILL.md is roughly 4.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Build Workspace?

Skills that share tags, products or a category with Build Workspace: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 259 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Build Workspace?

AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,413 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 7, 2026.

Source: AgibotTech/genie_sim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.