Xybrid Init
xybrid-ai/xybrid
Generate model metadata for an ML model so it works with xybrid.
Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.
$ npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install EGalahad/sim2real configure-g1-sim2real --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/EGalahad/sim2real.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .claude/skills/configure-g1-sim2real && 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 "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .claude/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2realType 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 EGalahad/sim2real --skill configure-g1-sim2real -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install EGalahad/sim2real configure-g1-sim2real --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .agents/skills/configure-g1-sim2real && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .agents/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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 EGalahad/sim2real --skill configure-g1-sim2real -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install EGalahad/sim2real configure-g1-sim2real --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .cursor/skills/configure-g1-sim2real && 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 "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .cursor/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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/EGalahad/sim2real.git --path .agents/skills/configure-g1-sim2real--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 EGalahad/sim2real --skill configure-g1-sim2real -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install EGalahad/sim2real configure-g1-sim2real --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .gemini/skills/configure-g1-sim2real && 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 "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .gemini/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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 EGalahad/sim2real configure-g1-sim2realInstalls 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 EGalahad/sim2real --skill configure-g1-sim2real -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .github/skills/configure-g1-sim2real && 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 "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .github/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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 EGalahad/sim2real --skill configure-g1-sim2real -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install EGalahad/sim2real configure-g1-sim2real --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/EGalahad/sim2real.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/configure-g1-sim2real .opencode/skills/configure-g1-sim2real && 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 "configure-g1-sim2real" agent skill from https://github.com/EGalahad/sim2real/tree/main/.agents/skills/configure-g1-sim2real into .opencode/skills/configure-g1-sim2real/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "configure-g1-sim2real", 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.
configure-g1-sim2realInstall, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.
Configure G1 Sim2real is an agent skill from EGalahad/sim2real. Install, repair, and verify sim2real on G1 robot computers. Use for root uv environments and inference extras, robot-g1 dependencies, CycloneDDS builds, G1 network interfaces, Hugging Face offline assets, ONNX Runtime compatibility, inline RobotIO or MotionSwitcher DDS failures, local-to-robot sync, isolated PICO or DH116S environments, and G1 deployment bring-up.
Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/g1-setup-runbook.md` and `scripts/inspect_host.sh`).
It sits in AI & LLM Engineering, covering Model hubs and datasets. It works with Hugging Face and ONNX.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 73b3bec. 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.
Ships 2 files in scripts/ (Shell and Python), which the agent can run.
Shell commands in SKILL.md call:
uvsshbashFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv and ssh, 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.
Configure G1 Sim2real loads about 1.5k tokens when it runs, and up to ~3.6k if it reads all its reference files. Until then it costs about 97 tokens; SKILL.md has 641 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); the scripts in this folder are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 641 words (~1,456 tokens).
“Configure the G1 host from current evidence. Do not infer its OS, network interface, Python environment, or GPU runtime from its SSH alias.”
SKILL.md and 4 other files (scripts, references) in .agents/skills/configure-g1-sim2real of EGalahad/sim2real.
Open the folder on GitHubat commit 73b3bec
Configure G1 Sim2real 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 |
|---|---|---|---|---|---|---|
| Configure G1 Sim2real this skillEGalahad/sim2real | 146 | — | ~1.5k | Automated safety check: Pass | None | |
| Xybrid Initxybrid-ai/xybrid | 469 | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Community Model ConversionRisorseArtificiali/anti-vocale | 118 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Publish Modelayutaz/piper-plus | 234 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Quark Torch Exportamd/Quark | 182 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Quark Torch Ptqamd/Quark | 182 | — | ~2.3k | Automated safety check: Pass | MIT |
xybrid-ai/xybrid
Generate model metadata for an ML model so it works with xybrid.
RisorseArtificiali/anti-vocale
Convert a HuggingFace ASR fine-tune into a sherpa-onnx external model, publish it, and add it to the Anti-Vocale community catalog.
ayutaz/piper-plus
学習済み Lightning checkpoint (.ckpt) を ONNX export → sanity check → RTF benchmark → HuggingFace upload まで連鎖実行する read-mostly skill。
amd/Quark
Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run.
amd/Quark
Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request…
NVIDIA/skills
Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).
EGalahad/sim2real
Install, convert, debug, and benchmark sim2real ONNX GPU and TensorRT inference backends on onboard JetPack 5 Orin hosts such as g1-cable.
EGalahad/sim2real
Adapt a policy trained in any external codebase into the sim2real codebase for integrated sim2sim/deploy by tracing the training observation/action implementation, exporting one complete ONNX…
Works with
Categories
Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real. Configure G1 Sim2real is an agent skill from EGalahad/sim2real. Install, repair, and verify sim2real on G1 robot computers.
Configure G1 Sim2real fits situations like: root uv environments and inference extras; robot-g1 dependencies; cycloneDDS builds; G1 network interfaces.
Run `npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a claude-code`. Or copy the skill folder (.agents/skills/configure-g1-sim2real in EGalahad/sim2real) into .claude/skills/configure-g1-sim2real in your project. Claude Code loads it when a task matches its description.
Run `npx skills add EGalahad/sim2real --skill configure-g1-sim2real -a codex`. Or copy the skill folder (.agents/skills/configure-g1-sim2real in EGalahad/sim2real) into .agents/skills/configure-g1-sim2real 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 EGalahad/sim2real --skill configure-g1-sim2real -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configure-g1-sim2real, .gemini/skills/configure-g1-sim2real, .github/skills/configure-g1-sim2real and .opencode/skills/configure-g1-sim2real in your project.
Going by SKILL.md and its folder, Configure G1 Sim2real needs a shell and Python for the scripts in its folder and the command-line tools its instructions call (uv, ssh and bash). Our summary lists: Python 3; A Bash shell.
SKILL.md contains no URLs. Its commands use uv and ssh, 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
No licence was found for Configure G1 Sim2real or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 1.5k tokens (SKILL.md is roughly 5.8k 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 2.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Configure G1 Sim2real: Xybrid Init (xybrid-ai/xybrid, 469 stars), Community Model Conversion (RisorseArtificiali/anti-vocale, 118 stars), Publish Model (ayutaz/piper-plus, 234 stars) and Quark Torch Export (amd/Quark, 182 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
EGalahad (a GitHub user) maintains it in EGalahad/sim2real, which has 146 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 28, 2026.
Source: EGalahad/sim2real on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.