Build Workspace logo

Build Workspace

OrganizationPopular
AgibotTech
build-workspace

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.

Overview

PublisherAgibotTech
Repositorygenie_sim
Skill namebuild-workspace
Stars
1.4K
Forks
119
Bundled files
Instructions only
LicenseMPL-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AgibotTech on GitHub. Read the source before you install it.

Installation

Install the Build Workspace AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AgibotTech/genie_sim.git /tmp/genie_sim
mkdir -p .claude/skills
cp -r /tmp/genie_sim/source/geniesim_ros/skills/build-workspace .claude/skills/build-workspace
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Build Workspace in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Build Workspace on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Build Workspace is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

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

Frequently asked questions

What does the Build Workspace AI skill do?

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.

Why use Build Workspace on TypingMind?

Because you install it once and use it with any model. Build Workspace is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Build Workspace in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Build Workspace?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Build Workspace?

As many as you like. As long as a model supports skills, you can use Build Workspace with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Build Workspace AI skill free?

Yes. It is published on GitHub by AgibotTech under the MPL-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇