Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.
$ npx skills add AgibotTech/genie_sim --skill build-workspace -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim build-workspace --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/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-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 "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .claude/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspaceType 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 AgibotTech/genie_sim --skill build-workspace -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim build-workspace --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .agents/skills/build-workspace && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .agents/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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 AgibotTech/genie_sim --skill build-workspace -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim build-workspace --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .cursor/skills/build-workspace && 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 "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .cursor/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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/AgibotTech/genie_sim.git --path source/geniesim_ros/skills/build-workspace--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 AgibotTech/genie_sim --skill build-workspace -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim build-workspace --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .gemini/skills/build-workspace && 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 "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .gemini/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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 AgibotTech/genie_sim build-workspaceInstalls 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 AgibotTech/genie_sim --skill build-workspace -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .github/skills/build-workspace && 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 "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .github/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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 AgibotTech/genie_sim --skill build-workspace -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgibotTech/genie_sim build-workspace --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/geniesim_ros/skills/build-workspace .opencode/skills/build-workspace && 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 "build-workspace" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/build-workspace into .opencode/skills/build-workspace/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "build-workspace", 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.
build-workspaceBuild 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. 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.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6ca11c7. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from AgibotTech/genie_sim at commit 6ca11c7, republished under its MPL-2.0 licence (© AgibotTech). 354 words, ~1,195 tokens.
.claude/skills/build-workspace/SKILL.md (or your agent's skills folder).source/geniesim_ros/src/ros_ws/src/.geniesim ros build cleanup and you want to rebuild
from scratch.launch-scene skill (its ros2 launch … step
needs the workspace sourced).Do not use for:
pip install geniesim_ros
— that's already built; just source the install tree.geniesim deploy geniesim_ros.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.source devel/setup.bash after building. The shell
environment doesn't carry the overlay automatically.geniesim ros doctor before re-trying the build.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.
geniesim ros doctor # check & fix rosdep depscd /workspace # repo root (mounted by `geniesim docker up`)
geniesim ros build dev # RelWithDebInfo + symlink-install -> ./develIteration loop after editing C++ / xacro / launch files:
geniesim ros build dev # re-runs incrementally thanks to symlink-installsource devel/setup.bashVerify:
ros2 pkg list | grep genie_sim # should list the 10 genie_sim_* packagesgeniesim ros build cleanup # interactive prompt before removing devel*/build/install/log# 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 checkgeniesim 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.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.© 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
Just SKILL.md in source/geniesim_ros/skills/build-workspace of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Build Workspace this skillAgibotTech/genie_sim | 1.4k | — | ~1.2k | Automated safety check: Pass | MPL-2.0 | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb | 6.7k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit | 259 | 6 repos | ~1.1k | Automated safety check: Notes | Custom licence | |
| LangBot Deployment Guidelangbot-app/LangBot | 18k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Build Openshell Mxc WindowsNVIDIA/OpenShell | 15k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 |
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
GreptimeTeam/greptimedb
Packages a locally built GreptimeDB debug binary into a development-only Docker image for local-cluster testing, with an optional push to a dev registry.
maslennikov-ig/claude-code-orchestrator-kit
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup…
langbot-app/LangBot
Deploys and configures a LangBot instance with Docker Compose or Kubernetes, covering config.yaml, the Box sandbox runtime, the plugin runtime and the global API key.
NVIDIA/OpenShell
Maintain and validate OpenShell's build-only Windows MSVC lane for x64 and ARM64.
omnigent-ai/omnigent
Brings up the Omnigent server and Postgres as a Docker compose stack on any Docker host, and covers the Dockerfile's runtime and host build targets for extending it to a new platform.
AgibotTech/genie_sim
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…
AgibotTech/genie_sim
Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.
AgibotTech/genie_sim
Bring a custom robot into the Genie Sim RT Engine — author / fix a xacro / URDF in geniesimrobotmodel, prep meshes with the offline tools (normalizeobjnames.py, diagnoseurdf.py, recomputeinertia.py…
AgibotTech/genie_sim
Reference for the Simulation Challenge inference wire protocol — the exact obs (input) and action (output) message format exchanged between the gateway/genie-sim simulator and the contestant's…
AgibotTech/genie_sim
A skill your agent uses when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.
AgibotTech/genie_sim
A skill your agent uses to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed.
Works with
Categories
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.
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.
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.
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.
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.
Going by SKILL.md and its folder, Build Workspace needs the command-line tools its instructions call (pip). Our summary lists: Python 3; Docker.
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.
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.
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.
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.
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.
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.