[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-openai-nemoclaw-user-get-started":3,"mdc--4542m4-key":33,"related-repo-openai-nemoclaw-user-get-started":825,"related-org-openai-nemoclaw-user-get-started":946},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":11,"stars":22,"repoUrl":23,"updatedAt":24,"license":25,"forks":26,"topics":27,"repo":28,"sourceUrl":31,"mdContent":32},"nemoclaw-user-get-started","onboard and launch NemoClaw sandboxes","Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},"openai","OpenAI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fopenai.png",[12,16,19],{"name":13,"slug":14,"type":15},"Sandboxing","sandboxing","tag",{"name":17,"slug":18,"type":15},"CLI","cli",{"name":20,"slug":21,"type":15},"Agents","agents",3992,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins","2026-06-30T19:00:57.102","Apache-2.0",465,[],{"repoUrl":23,"stars":22,"forks":26,"topics":29,"description":30},[],"OpenAI Plugins","https:\u002F\u002Fgithub.com\u002Fopenai\u002Fplugins\u002Ftree\u002FHEAD\u002Fplugins\u002Fnvidia\u002Fskills\u002Fnemoclaw-user-get-started","---\nname: \"nemoclaw-user-get-started\"\ndescription: \"Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.\"\nlicense: \"Apache-2.0\"\n---\n# NemoClaw Quickstart with OpenClaw\n\nFollow these steps to get started with NemoClaw and your first sandboxed OpenClaw agent.\n\n**Note:**\n\nMake sure you have completed reviewing the [Prerequisites](references\u002Fprerequisites.md) before following this guide.\n\n## Install NemoClaw and Onboard OpenClaw Agent\n\nDownload and run the installer script.\nThe script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.\n\n**Note:**\n\nNemoClaw creates a fresh OpenClaw instance inside the sandbox during the onboarding process.\n\n```bash\ncurl -fsSL https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh | bash\n```\n\nThe piped installer prompts through your terminal. In headless scripts or CI,\npass explicit acceptance to the `bash` side of the pipe:\n\n```console\n$ curl -fsSL https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh | NEMOCLAW_NON_INTERACTIVE=1 NEMOCLAW_ACCEPT_THIRD_PARTY_SOFTWARE=1 bash\n```\n\nIf you use nvm or fnm to manage Node.js, the installer might not update your current shell's PATH.\nIf `nemoclaw` is not found after install, run `source ~\u002F.bashrc` (or `source ~\u002F.zshrc` for zsh) or open a new terminal.\n\nOn Linux, the installer checks Docker before it installs NemoClaw.\nIf Docker is missing, the installer downloads the official Docker convenience script, asks for `sudo`, installs Docker, and starts the Docker service when systemd is available.\nIf Docker is installed but your current shell cannot use the Docker socket yet, the installer adds your user to the `docker` group when needed and exits with a recovery command.\n\nOn macOS, the installer uses the Docker-driver OpenShell gateway path with Docker Desktop or Colima.\n\n```console\n$ newgrp docker\n$ curl -fsSL https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh | bash\n```\n\nOn DGX Spark, DGX Station, and Windows WSL, an interactive installer offers express install after you accept the third-party software notice.\nExpress install switches onboarding to non-interactive mode, allows `sudo` password prompts for required host changes, and selects the managed local inference path for that platform.\nUnless `NEMOCLAW_POLICY_TIER` is set, it applies sandbox policy in `suggested` mode with the `balanced` tier by default, using the base sandbox policy plus supported package, model, web-search, and local-inference presets.\nOn WSL, express install selects the Windows-host Ollama setup path.\nSet `NEMOCLAW_NO_EXPRESS=1` to skip the express prompt, or set `NEMOCLAW_PROVIDER` before launching the installer when you want to choose a provider yourself.\n\nThe installer auto-launches `nemoclaw onboard` when it can locate the freshly-installed binary.\nIf it cannot locate the binary, or if blocking host preflight checks fail, it does not launch the wizard automatically.\nIn that case, the installer prints the relevant diagnostics and a `To finish setup, run:` block with the explicit `nemoclaw onboard` command.\n\n**Note:**\n\nThe onboard flow builds the sandbox image with `NEMOCLAW_DISABLE_DEVICE_AUTH=1` so the dashboard is immediately usable during setup.\nThis is a build-time setting baked into the sandbox image, not a runtime knob.\nIf you export `NEMOCLAW_DISABLE_DEVICE_AUTH` after onboarding finishes, it has no effect on an existing sandbox.\n\n### Review the Configuration Before the Sandbox Build\n\nAfter you enter the sandbox name, the wizard prints a review summary and asks for final confirmation before registering the provider, prompting for optional integrations, and building the sandbox image.\nFor example, if you picked an OpenAI-compatible endpoint, the summary looks like the following:\n\n```text\n  ──────────────────────────────────────────────────\n  Review configuration\n  ──────────────────────────────────────────────────\n  Provider:      compatible-endpoint\n  Model:         openai\u002Fopenai\u002Fgpt-5.5\n  API key:       COMPATIBLE_API_KEY (staged for OpenShell gateway registration)\n  Web search:    disabled\n  Messaging:     none\n  Sandbox name:  my-gpt-claw\n  Note:          Sandbox build typically takes 5–15 minutes on this host.\n  ──────────────────────────────────────────────────\n  Web search and messaging channels will be prompted next.\n  Apply this configuration? [Y\u002Fn]:\n```\n\nThe default is `Y`, so you can press Enter once to continue. Answer `n` to abort cleanly, fix the entries, and re-run `nemoclaw onboard`.\n\nNon-interactive runs (`NEMOCLAW_NON_INTERACTIVE=1`) print the summary for log clarity but skip the prompt.\n\n### Configure Web Search and Messaging\n\nAfter you confirm the summary, NemoClaw registers the selected provider with the OpenShell gateway and sets the `inference.local` route.\nThe wizard then asks whether to enable Brave Web Search.\nIf you enable it, enter a Brave Search API key when prompted.\n\nThe wizard also offers messaging channels such as Telegram, Discord, Slack, WeChat, and WhatsApp.\nPress a channel number to toggle it, then press Enter to continue.\nIf you select a channel, NemoClaw validates the token format before it bakes the channel configuration into the sandbox.\nFor example, Slack bot tokens must start with `xoxb-`.\nWeChat and WhatsApp are experimental.\nReview Messaging Channels (use the `nemoclaw-user-manage-sandboxes` skill) before enabling them.\n\n### Choose Network Policy Presets\n\nAfter the sandbox image builds and OpenClaw starts inside the sandbox, NemoClaw asks which network policy tier to apply.\nThe default **Balanced** tier includes common development presets such as npm, PyPI, Hugging Face, Homebrew, and Brave Search when the selected agent supports web search.\nUse the arrow keys or `j` and `k` to move, Space to select, and Enter to confirm.\n\nThe preset selector lets you include more destinations, such as GitHub, Jira, Slack, Telegram, or local inference.\nPress `r` to toggle a selected preset between read-only and read-write when the preset supports both modes.\n\nWhen the install completes, a summary confirms the running environment.\nBefore printing the summary, NemoClaw verifies that the sandbox gateway and dashboard port forward are reachable.\nInference route and messaging bridge checks are reported as warnings when they need more time or additional configuration.\nThe `Model` and provider line reflects the inference option you picked during onboarding.\nThe example below shows the result if you picked an OpenAI-compatible endpoint during onboarding.\n\n```text\n──────────────────────────────────────────────────\nNemoClaw is ready\n\nSandbox:  my-gpt-claw\nModel:    openai\u002Fopenai\u002Fgpt-5.5 (Other OpenAI-compatible endpoint)\n\nStart chatting\n\n  Browser:\n    http:\u002F\u002F127.0.0.1:18789\u002F\n\n  Terminal:\n    nemoclaw my-gpt-claw connect\n    then run: openclaw tui\n\nAuthenticated dashboard URL, if needed:\n  nemoclaw my-gpt-claw dashboard-url --quiet\n\nManage later\n\n  Status:      nemoclaw my-gpt-claw status\n  Logs:        nemoclaw my-gpt-claw logs --follow\n  Model:       nemoclaw inference set --model \u003Cmodel> --provider \u003Cprovider> --sandbox my-gpt-claw\n  Policies:    nemoclaw my-gpt-claw policy-add\n  Credentials: nemoclaw credentials reset \u003CKEY> && nemoclaw onboard\n──────────────────────────────────────────────────\n\n[INFO]  === Installation complete ===\n```\n\nIf you picked a different option, the `Model` line shows that provider's model and label instead. For example, you might see `gpt-5.4 (OpenAI)`, `claude-sonnet-4-6 (Anthropic)`, `gemini-2.5-flash (Google Gemini)`, `llama3.1:8b (Local Ollama)`, `nvidia-routed (Model Router)`, or `\u003Cyour-model> (Other OpenAI-compatible endpoint)`.\n\nLoad [references\u002Fquickstart-details.md](references\u002Fquickstart-details.md) for detailed steps on Respond to the Onboard Wizard.\n\n## Run Your First Agent Prompt\n\nYou can chat with the agent from the terminal or the browser.\n\n### Open the OpenClaw UI in a Browser to Chat with the Agent\n\nThe onboard wizard starts a background port forward to the sandbox dashboard, then prints the dashboard URL in the install summary.\nThe default host port is `18789`.\nIf that port is already taken, NemoClaw uses the next free dashboard port, such as `18790`, and prints that port in the final URL.\nIf the chosen port becomes occupied after the sandbox build starts, onboarding rolls back the newly-created sandbox and asks you to retry instead of printing an unreachable dashboard URL.\nThe install transcript does not print the gateway token.\nIf the browser requires authentication, use the `dashboard-url --quiet` command to print a complete URL explicitly.\n\n```text\nnemoclaw my-gpt-claw dashboard-url --quiet\n```\n\nOpen the dashboard URL in your browser.\nIf the browser asks for authentication, run `nemoclaw my-gpt-claw dashboard-url --quiet` and open the returned URL.\nTreat the authenticated URL like a password.\n\n### Chat with the Agent from the Terminal\n\nConnect to the sandbox and use the OpenClaw CLI.\n\n```bash\nnemoclaw my-assistant connect\n# inside the sandbox:\nopenclaw tui\n```\n\n## References\n\n- **Load [references\u002Fquickstart-hermes.md](references\u002Fquickstart-hermes.md)** when users ask for Hermes setup, NemoHermes onboarding, or running Hermes inside OpenShell. Installs NemoClaw, selects the Hermes agent, and launches a sandboxed Hermes API endpoint.\n- **Load [references\u002Fprerequisites.md](references\u002Fprerequisites.md)** when verifying prerequisites before installation. Lists the hardware, software, and container runtime requirements for running NemoClaw.\n- **Load [references\u002Fwindows-preparation.md](references\u002Fwindows-preparation.md)** when preparing a Windows machine for NemoClaw, enabling WSL 2, configuring Docker Desktop for Windows, or troubleshooting a Windows-specific install error. Covers Windows-only preparation steps required before the Quickstart.\n- **Load [references\u002Fquickstart-details.md](references\u002Fquickstart-details.md)** when you need detailed steps for Respond to the Onboard Wizard.\n\n## Related Skills\n\n- `nemoclaw-user-overview` — NemoClaw Overview (use the `nemoclaw-user-overview` skill) to learn what NemoClaw is and its capabilities\n",{"data":34,"body":35},{"name":4,"description":6,"license":25},{"type":36,"children":37},"root",[38,47,53,62,76,83,88,95,100,146,158,174,203,224,229,253,305,333,340,361,368,373,383,411,424,430,443,464,470,498,511,524,533,589,601,607,612,618,647,656,669,675,680,727,733,792,798,819],{"type":39,"tag":40,"props":41,"children":43},"element","h1",{"id":42},"nemoclaw-quickstart-with-openclaw",[44],{"type":45,"value":46},"text","NemoClaw Quickstart with OpenClaw",{"type":39,"tag":48,"props":49,"children":50},"p",{},[51],{"type":45,"value":52},"Follow these steps to get started with NemoClaw and your first sandboxed OpenClaw agent.",{"type":39,"tag":48,"props":54,"children":55},{},[56],{"type":39,"tag":57,"props":58,"children":59},"strong",{},[60],{"type":45,"value":61},"Note:",{"type":39,"tag":48,"props":63,"children":64},{},[65,67,74],{"type":45,"value":66},"Make sure you have completed reviewing the ",{"type":39,"tag":68,"props":69,"children":71},"a",{"href":70},"references\u002Fprerequisites.md",[72],{"type":45,"value":73},"Prerequisites",{"type":45,"value":75}," before following this guide.",{"type":39,"tag":77,"props":78,"children":80},"h2",{"id":79},"install-nemoclaw-and-onboard-openclaw-agent",[81],{"type":45,"value":82},"Install NemoClaw and Onboard OpenClaw Agent",{"type":39,"tag":48,"props":84,"children":85},{},[86],{"type":45,"value":87},"Download and run the installer script.\nThe script installs Node.js if it is not already present, then runs the guided onboard wizard to create a sandbox, configure inference, and apply security policies.",{"type":39,"tag":48,"props":89,"children":90},{},[91],{"type":39,"tag":57,"props":92,"children":93},{},[94],{"type":45,"value":61},{"type":39,"tag":48,"props":96,"children":97},{},[98],{"type":45,"value":99},"NemoClaw creates a fresh OpenClaw instance inside the sandbox during the onboarding process.",{"type":39,"tag":101,"props":102,"children":107},"pre",{"className":103,"code":104,"language":105,"meta":106,"style":106},"language-bash shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","curl -fsSL https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh | bash\n","bash","",[108],{"type":39,"tag":109,"props":110,"children":111},"code",{"__ignoreMap":106},[112],{"type":39,"tag":113,"props":114,"children":117},"span",{"class":115,"line":116},"line",1,[118,124,130,135,141],{"type":39,"tag":113,"props":119,"children":121},{"style":120},"--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B",[122],{"type":45,"value":123},"curl",{"type":39,"tag":113,"props":125,"children":127},{"style":126},"--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D",[128],{"type":45,"value":129}," -fsSL",{"type":39,"tag":113,"props":131,"children":132},{"style":126},[133],{"type":45,"value":134}," https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh",{"type":39,"tag":113,"props":136,"children":138},{"style":137},"--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF",[139],{"type":45,"value":140}," |",{"type":39,"tag":113,"props":142,"children":143},{"style":120},[144],{"type":45,"value":145}," bash\n",{"type":39,"tag":48,"props":147,"children":148},{},[149,151,156],{"type":45,"value":150},"The piped installer prompts through your terminal. In headless scripts or CI,\npass explicit acceptance to the ",{"type":39,"tag":109,"props":152,"children":154},{"className":153},[],[155],{"type":45,"value":105},{"type":45,"value":157}," side of the pipe:",{"type":39,"tag":101,"props":159,"children":163},{"className":160,"code":161,"language":162,"meta":106,"style":106},"language-console shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","$ curl -fsSL https:\u002F\u002Fwww.nvidia.com\u002Fnemoclaw.sh | NEMOCLAW_NON_INTERACTIVE=1 NEMOCLAW_ACCEPT_THIRD_PARTY_SOFTWARE=1 bash\n","console",[164],{"type":39,"tag":109,"props":165,"children":166},{"__ignoreMap":106},[167],{"type":39,"tag":113,"props":168,"children":169},{"class":115,"line":116},[170],{"type":39,"tag":113,"props":171,"children":172},{},[173],{"type":45,"value":161},{"type":39,"tag":48,"props":175,"children":176},{},[177,179,185,187,193,195,201],{"type":45,"value":178},"If you use nvm or fnm to manage Node.js, the installer might not update your 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host.\n  ──────────────────────────────────────────────────\n  Web search and messaging channels will be prompted next.\n  Apply this configuration? 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Answer ",{"type":39,"tag":109,"props":397,"children":399},{"className":398},[],[400],{"type":45,"value":401},"n",{"type":45,"value":403}," to abort cleanly, fix the entries, and re-run ",{"type":39,"tag":109,"props":405,"children":407},{"className":406},[],[408],{"type":45,"value":315},{"type":45,"value":410},".",{"type":39,"tag":48,"props":412,"children":413},{},[414,416,422],{"type":45,"value":415},"Non-interactive runs (",{"type":39,"tag":109,"props":417,"children":419},{"className":418},[],[420],{"type":45,"value":421},"NEMOCLAW_NON_INTERACTIVE=1",{"type":45,"value":423},") print the summary for log clarity but skip the prompt.",{"type":39,"tag":362,"props":425,"children":427},{"id":426},"configure-web-search-and-messaging",[428],{"type":45,"value":429},"Configure Web Search and Messaging",{"type":39,"tag":48,"props":431,"children":432},{},[433,435,441],{"type":45,"value":434},"After you confirm the summary, NemoClaw registers the selected provider with the OpenShell gateway and sets the ",{"type":39,"tag":109,"props":436,"children":438},{"className":437},[],[439],{"type":45,"value":440},"inference.local",{"type":45,"value":442}," route.\nThe wizard then asks whether to enable Brave Web Search.\nIf you enable it, enter a Brave Search API key when prompted.",{"type":39,"tag":48,"props":444,"children":445},{},[446,448,454,456,462],{"type":45,"value":447},"The wizard also offers messaging channels such as Telegram, Discord, Slack, WeChat, and WhatsApp.\nPress a channel number to toggle it, then press Enter to continue.\nIf you select a channel, NemoClaw validates the token format before it bakes the channel configuration into the sandbox.\nFor example, Slack bot tokens must start with ",{"type":39,"tag":109,"props":449,"children":451},{"className":450},[],[452],{"type":45,"value":453},"xoxb-",{"type":45,"value":455},".\nWeChat and WhatsApp are experimental.\nReview Messaging Channels (use the ",{"type":39,"tag":109,"props":457,"children":459},{"className":458},[],[460],{"type":45,"value":461},"nemoclaw-user-manage-sandboxes",{"type":45,"value":463}," skill) before enabling them.",{"type":39,"tag":362,"props":465,"children":467},{"id":466},"choose-network-policy-presets",[468],{"type":45,"value":469},"Choose Network Policy Presets",{"type":39,"tag":48,"props":471,"children":472},{},[473,475,480,482,488,490,496],{"type":45,"value":474},"After the sandbox image builds and OpenClaw starts inside the sandbox, NemoClaw asks which network policy tier to apply.\nThe default ",{"type":39,"tag":57,"props":476,"children":477},{},[478],{"type":45,"value":479},"Balanced",{"type":45,"value":481}," tier includes common development presets such as npm, PyPI, Hugging Face, Homebrew, and Brave Search when the selected agent supports web search.\nUse the arrow keys or ",{"type":39,"tag":109,"props":483,"children":485},{"className":484},[],[486],{"type":45,"value":487},"j",{"type":45,"value":489}," and ",{"type":39,"tag":109,"props":491,"children":493},{"className":492},[],[494],{"type":45,"value":495},"k",{"type":45,"value":497}," to move, Space to select, and Enter to confirm.",{"type":39,"tag":48,"props":499,"children":500},{},[501,503,509],{"type":45,"value":502},"The preset selector lets you include more destinations, such as GitHub, Jira, Slack, Telegram, or local inference.\nPress ",{"type":39,"tag":109,"props":504,"children":506},{"className":505},[],[507],{"type":45,"value":508},"r",{"type":45,"value":510}," to toggle a selected preset between read-only and read-write when the preset supports both modes.",{"type":39,"tag":48,"props":512,"children":513},{},[514,516,522],{"type":45,"value":515},"When the install completes, a summary confirms the running environment.\nBefore printing the summary, NemoClaw verifies that the sandbox gateway and dashboard port forward are reachable.\nInference route and messaging bridge checks are reported as warnings when they need more time or additional configuration.\nThe ",{"type":39,"tag":109,"props":517,"children":519},{"className":518},[],[520],{"type":45,"value":521},"Model",{"type":45,"value":523}," and provider line reflects the inference option you picked during onboarding.\nThe example below shows the result if you picked an OpenAI-compatible endpoint during onboarding.",{"type":39,"tag":101,"props":525,"children":528},{"className":526,"code":527,"language":45,"meta":106},[376],"──────────────────────────────────────────────────\nNemoClaw is ready\n\nSandbox:  my-gpt-claw\nModel:    openai\u002Fopenai\u002Fgpt-5.5 (Other OpenAI-compatible endpoint)\n\nStart chatting\n\n  Browser:\n    http:\u002F\u002F127.0.0.1:18789\u002F\n\n  Terminal:\n    nemoclaw my-gpt-claw connect\n    then run: openclaw tui\n\nAuthenticated dashboard URL, if needed:\n  nemoclaw my-gpt-claw dashboard-url --quiet\n\nManage later\n\n  Status:      nemoclaw my-gpt-claw status\n  Logs:        nemoclaw my-gpt-claw logs --follow\n  Model:       nemoclaw inference set --model \u003Cmodel> --provider \u003Cprovider> --sandbox my-gpt-claw\n  Policies:    nemoclaw my-gpt-claw policy-add\n  Credentials: nemoclaw credentials reset \u003CKEY> && nemoclaw onboard\n──────────────────────────────────────────────────\n\n[INFO]  === Installation complete ===\n",[529],{"type":39,"tag":109,"props":530,"children":531},{"__ignoreMap":106},[532],{"type":45,"value":527},{"type":39,"tag":48,"props":534,"children":535},{},[536,538,543,545,551,553,559,560,566,567,573,574,580,582,588],{"type":45,"value":537},"If you picked a different option, the ",{"type":39,"tag":109,"props":539,"children":541},{"className":540},[],[542],{"type":45,"value":521},{"type":45,"value":544}," line shows that provider's model and label instead. For example, you might see ",{"type":39,"tag":109,"props":546,"children":548},{"className":547},[],[549],{"type":45,"value":550},"gpt-5.4 (OpenAI)",{"type":45,"value":552},", ",{"type":39,"tag":109,"props":554,"children":556},{"className":555},[],[557],{"type":45,"value":558},"claude-sonnet-4-6 (Anthropic)",{"type":45,"value":552},{"type":39,"tag":109,"props":561,"children":563},{"className":562},[],[564],{"type":45,"value":565},"gemini-2.5-flash (Google Gemini)",{"type":45,"value":552},{"type":39,"tag":109,"props":568,"children":570},{"className":569},[],[571],{"type":45,"value":572},"llama3.1:8b (Local Ollama)",{"type":45,"value":552},{"type":39,"tag":109,"props":575,"children":577},{"className":576},[],[578],{"type":45,"value":579},"nvidia-routed (Model Router)",{"type":45,"value":581},", or ",{"type":39,"tag":109,"props":583,"children":585},{"className":584},[],[586],{"type":45,"value":587},"\u003Cyour-model> (Other OpenAI-compatible endpoint)",{"type":45,"value":410},{"type":39,"tag":48,"props":590,"children":591},{},[592,594,599],{"type":45,"value":593},"Load ",{"type":39,"tag":68,"props":595,"children":597},{"href":596},"references\u002Fquickstart-details.md",[598],{"type":45,"value":596},{"type":45,"value":600}," for detailed steps on Respond to the Onboard Wizard.",{"type":39,"tag":77,"props":602,"children":604},{"id":603},"run-your-first-agent-prompt",[605],{"type":45,"value":606},"Run Your First Agent Prompt",{"type":39,"tag":48,"props":608,"children":609},{},[610],{"type":45,"value":611},"You can chat with the agent from the terminal or the browser.",{"type":39,"tag":362,"props":613,"children":615},{"id":614},"open-the-openclaw-ui-in-a-browser-to-chat-with-the-agent",[616],{"type":45,"value":617},"Open the OpenClaw UI in a Browser to Chat with the Agent",{"type":39,"tag":48,"props":619,"children":620},{},[621,623,629,631,637,639,645],{"type":45,"value":622},"The onboard wizard starts a background port 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explicitly.",{"type":39,"tag":101,"props":648,"children":651},{"className":649,"code":650,"language":45,"meta":106},[376],"nemoclaw my-gpt-claw dashboard-url --quiet\n",[652],{"type":39,"tag":109,"props":653,"children":654},{"__ignoreMap":106},[655],{"type":45,"value":650},{"type":39,"tag":48,"props":657,"children":658},{},[659,661,667],{"type":45,"value":660},"Open the dashboard URL in your browser.\nIf the browser asks for authentication, run ",{"type":39,"tag":109,"props":662,"children":664},{"className":663},[],[665],{"type":45,"value":666},"nemoclaw my-gpt-claw dashboard-url --quiet",{"type":45,"value":668}," and open the returned URL.\nTreat the authenticated URL like a password.",{"type":39,"tag":362,"props":670,"children":672},{"id":671},"chat-with-the-agent-from-the-terminal",[673],{"type":45,"value":674},"Chat with the Agent from the Terminal",{"type":39,"tag":48,"props":676,"children":677},{},[678],{"type":45,"value":679},"Connect to the sandbox and use the OpenClaw CLI.",{"type":39,"tag":101,"props":681,"children":683},{"className":103,"code":682,"language":105,"meta":106,"style":106},"nemoclaw my-assistant connect\n# inside the sandbox:\nopenclaw tui\n",[684],{"type":39,"tag":109,"props":685,"children":686},{"__ignoreMap":106},[687,704,713],{"type":39,"tag":113,"props":688,"children":689},{"class":115,"line":116},[690,694,699],{"type":39,"tag":113,"props":691,"children":692},{"style":120},[693],{"type":45,"value":184},{"type":39,"tag":113,"props":695,"children":696},{"style":126},[697],{"type":45,"value":698}," my-assistant",{"type":39,"tag":113,"props":700,"children":701},{"style":126},[702],{"type":45,"value":703}," connect\n",{"type":39,"tag":113,"props":705,"children":706},{"class":115,"line":246},[707],{"type":39,"tag":113,"props":708,"children":710},{"style":709},"--shiki-light:#90A4AE;--shiki-light-font-style:italic;--shiki-default:#546E7A;--shiki-default-font-style:italic;--shiki-dark:#676E95;--shiki-dark-font-style:italic",[711],{"type":45,"value":712},"# inside the sandbox:\n",{"type":39,"tag":113,"props":714,"children":716},{"class":115,"line":715},3,[717,722],{"type":39,"tag":113,"props":718,"children":719},{"style":120},[720],{"type":45,"value":721},"openclaw",{"type":39,"tag":113,"props":723,"children":724},{"style":126},[725],{"type":45,"value":726}," tui\n",{"type":39,"tag":77,"props":728,"children":730},{"id":729},"references",[731],{"type":45,"value":732},"References",{"type":39,"tag":734,"props":735,"children":736},"ul",{},[737,752,765,779],{"type":39,"tag":738,"props":739,"children":740},"li",{},[741,750],{"type":39,"tag":57,"props":742,"children":743},{},[744,745],{"type":45,"value":593},{"type":39,"tag":68,"props":746,"children":748},{"href":747},"references\u002Fquickstart-hermes.md",[749],{"type":45,"value":747},{"type":45,"value":751}," when users ask for Hermes setup, NemoHermes onboarding, or running Hermes inside OpenShell. Installs NemoClaw, selects the Hermes agent, and launches a sandboxed Hermes API endpoint.",{"type":39,"tag":738,"props":753,"children":754},{},[755,763],{"type":39,"tag":57,"props":756,"children":757},{},[758,759],{"type":45,"value":593},{"type":39,"tag":68,"props":760,"children":761},{"href":70},[762],{"type":45,"value":70},{"type":45,"value":764}," when verifying prerequisites before installation. Lists the hardware, software, and container runtime requirements for running NemoClaw.",{"type":39,"tag":738,"props":766,"children":767},{},[768,777],{"type":39,"tag":57,"props":769,"children":770},{},[771,772],{"type":45,"value":593},{"type":39,"tag":68,"props":773,"children":775},{"href":774},"references\u002Fwindows-preparation.md",[776],{"type":45,"value":774},{"type":45,"value":778}," when preparing a Windows machine for NemoClaw, enabling WSL 2, configuring Docker Desktop for Windows, or troubleshooting a Windows-specific install error. Covers Windows-only preparation steps required before the Quickstart.",{"type":39,"tag":738,"props":780,"children":781},{},[782,790],{"type":39,"tag":57,"props":783,"children":784},{},[785,786],{"type":45,"value":593},{"type":39,"tag":68,"props":787,"children":788},{"href":596},[789],{"type":45,"value":596},{"type":45,"value":791}," when you need detailed steps for Respond to the Onboard Wizard.",{"type":39,"tag":77,"props":793,"children":795},{"id":794},"related-skills",[796],{"type":45,"value":797},"Related Skills",{"type":39,"tag":734,"props":799,"children":800},{},[801],{"type":39,"tag":738,"props":802,"children":803},{},[804,810,812,817],{"type":39,"tag":109,"props":805,"children":807},{"className":806},[],[808],{"type":45,"value":809},"nemoclaw-user-overview",{"type":45,"value":811}," — NemoClaw Overview (use the ",{"type":39,"tag":109,"props":813,"children":815},{"className":814},[],[816],{"type":45,"value":809},{"type":45,"value":818}," skill) to learn what NemoClaw is and its capabilities",{"type":39,"tag":820,"props":821,"children":822},"style",{},[823],{"type":45,"value":824},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":826,"total":945},[827,845,859,871,891,913,933],{"slug":828,"name":828,"fn":829,"description":830,"org":831,"tags":832,"stars":22,"repoUrl":23,"updatedAt":24},"accessibility-and-inclusive-visualization","make data visualizations accessible","Make data visualizations accessible and inclusive. Use when the user needs chart or diagram accessibility guidance, text alternatives for complex visuals, color and contrast review, keyboard support, reduced-motion behavior for animation or parallax, or an accessibility QA workflow for exported figures, UML-like diagrams, and dashboards.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[833,836,839,842],{"name":834,"slug":835,"type":15},"Accessibility","accessibility",{"name":837,"slug":838,"type":15},"Charts","charts",{"name":840,"slug":841,"type":15},"Data Visualization","data-visualization",{"name":843,"slug":844,"type":15},"Design","design",{"slug":846,"name":846,"fn":847,"description":848,"org":849,"tags":850,"stars":22,"repoUrl":23,"updatedAt":858},"agent-browser","automate browser interactions for agents","Browser automation CLI for AI agents. Use when the user needs to interact with websites, verify dev server output, test web apps, navigate pages, fill forms, click buttons, take screenshots, extract data, or automate any browser task. Also triggers when a dev server starts so you can verify it visually.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[851,852,855],{"name":20,"slug":21,"type":15},{"name":853,"slug":854,"type":15},"Browser Automation","browser-automation",{"name":856,"slug":857,"type":15},"Testing","testing","2026-04-06T18:41:03.44016",{"slug":860,"name":860,"fn":861,"description":862,"org":863,"tags":864,"stars":22,"repoUrl":23,"updatedAt":870},"agent-browser-verify","verify dev server output with automated browser","Automated browser verification for dev servers. Triggers when a dev server starts to run a visual gut-check with agent-browser — verifies the page loads, checks for console errors, validates key UI elements, and reports pass\u002Ffail before continuing.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[865,866,869],{"name":853,"slug":854,"type":15},{"name":867,"slug":868,"type":15},"Local Development","local-development",{"name":856,"slug":857,"type":15},"2026-04-06T18:41:17.526867",{"slug":872,"name":872,"fn":873,"description":874,"org":875,"tags":876,"stars":22,"repoUrl":23,"updatedAt":890},"agents-sdk","build AI agents on Cloudflare Workers","Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows integration, and React hooks. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[877,878,881,884,887],{"name":20,"slug":21,"type":15},{"name":879,"slug":880,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":882,"slug":883,"type":15},"SDK","sdk",{"name":885,"slug":886,"type":15},"Serverless","serverless",{"name":888,"slug":889,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":892,"name":892,"fn":893,"description":894,"org":895,"tags":896,"stars":22,"repoUrl":23,"updatedAt":912},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[897,900,903,906,909],{"name":898,"slug":899,"type":15},"Frontend","frontend",{"name":901,"slug":902,"type":15},"React","react",{"name":904,"slug":905,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":907,"slug":908,"type":15},"UI Components","ui-components",{"name":910,"slug":911,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":914,"name":914,"fn":915,"description":916,"org":917,"tags":918,"stars":22,"repoUrl":23,"updatedAt":932},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[919,922,925,928,931],{"name":920,"slug":921,"type":15},"AI Infrastructure","ai-infrastructure",{"name":923,"slug":924,"type":15},"Cost Optimization","cost-optimization",{"name":926,"slug":927,"type":15},"LLM","llm",{"name":929,"slug":930,"type":15},"Performance","performance",{"name":910,"slug":911,"type":15},"2026-04-06T18:40:44.377464",{"slug":934,"name":934,"fn":935,"description":936,"org":937,"tags":938,"stars":22,"repoUrl":23,"updatedAt":944},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[939,940,943],{"name":923,"slug":924,"type":15},{"name":941,"slug":942,"type":15},"Database","database",{"name":926,"slug":927,"type":15},"2026-04-06T18:41:08.513425",600,{"items":947,"total":1142},[948,969,992,1009,1023,1040,1059,1071,1085,1099,1111,1126],{"slug":949,"name":949,"fn":950,"description":951,"org":952,"tags":953,"stars":966,"repoUrl":967,"updatedAt":968},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[954,957,960,963],{"name":955,"slug":956,"type":15},"Documents","documents",{"name":958,"slug":959,"type":15},"Healthcare","healthcare",{"name":961,"slug":962,"type":15},"Insurance","insurance",{"name":964,"slug":965,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":970,"name":970,"fn":971,"description":972,"org":973,"tags":974,"stars":989,"repoUrl":990,"updatedAt":991},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[975,978,980,983,986],{"name":976,"slug":977,"type":15},".NET","dotnet",{"name":979,"slug":970,"type":15},"ASP.NET Core",{"name":981,"slug":982,"type":15},"Blazor","blazor",{"name":984,"slug":985,"type":15},"C#","csharp",{"name":987,"slug":988,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":993,"name":993,"fn":994,"description":995,"org":996,"tags":997,"stars":989,"repoUrl":990,"updatedAt":1008},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[998,1001,1004,1007],{"name":999,"slug":1000,"type":15},"Apps SDK","apps-sdk",{"name":1002,"slug":1003,"type":15},"ChatGPT","chatgpt",{"name":1005,"slug":1006,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":1010,"name":1010,"fn":1011,"description":1012,"org":1013,"tags":1014,"stars":989,"repoUrl":990,"updatedAt":1022},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1015,1018,1019],{"name":1016,"slug":1017,"type":15},"API Development","api-development",{"name":17,"slug":18,"type":15},{"name":1020,"slug":1021,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":1024,"name":1024,"fn":1025,"description":1026,"org":1027,"tags":1028,"stars":989,"repoUrl":990,"updatedAt":1039},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1029,1032,1035,1036],{"name":1030,"slug":1031,"type":15},"Cloudflare","cloudflare",{"name":1033,"slug":1034,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":879,"slug":880,"type":15},{"name":1037,"slug":1038,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":1041,"name":1041,"fn":1042,"description":1043,"org":1044,"tags":1045,"stars":989,"repoUrl":990,"updatedAt":1058},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1046,1049,1052,1055],{"name":1047,"slug":1048,"type":15},"Productivity","productivity",{"name":1050,"slug":1051,"type":15},"Project Management","project-management",{"name":1053,"slug":1054,"type":15},"Strategy","strategy",{"name":1056,"slug":1057,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":1060,"name":1060,"fn":1061,"description":1062,"org":1063,"tags":1064,"stars":989,"repoUrl":990,"updatedAt":1070},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1065,1066,1068,1069],{"name":843,"slug":844,"type":15},{"name":1067,"slug":1060,"type":15},"Figma",{"name":898,"slug":899,"type":15},{"name":1005,"slug":1006,"type":15},"2026-04-12T05:06:47.939943",{"slug":1072,"name":1072,"fn":1073,"description":1074,"org":1075,"tags":1076,"stars":989,"repoUrl":990,"updatedAt":1084},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1077,1078,1081,1082,1083],{"name":843,"slug":844,"type":15},{"name":1079,"slug":1080,"type":15},"Design System","design-system",{"name":1067,"slug":1060,"type":15},{"name":898,"slug":899,"type":15},{"name":907,"slug":908,"type":15},"2026-05-10T05:59:52.971881",{"slug":1086,"name":1086,"fn":1087,"description":1088,"org":1089,"tags":1090,"stars":989,"repoUrl":990,"updatedAt":1098},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1091,1092,1093,1096,1097],{"name":843,"slug":844,"type":15},{"name":1079,"slug":1080,"type":15},{"name":1094,"slug":1095,"type":15},"Documentation","documentation",{"name":1067,"slug":1060,"type":15},{"name":898,"slug":899,"type":15},"2026-05-16T06:07:47.821474",{"slug":1100,"name":1100,"fn":1101,"description":1102,"org":1103,"tags":1104,"stars":989,"repoUrl":990,"updatedAt":1110},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1105,1106,1107,1108,1109],{"name":843,"slug":844,"type":15},{"name":1067,"slug":1060,"type":15},{"name":898,"slug":899,"type":15},{"name":907,"slug":908,"type":15},{"name":987,"slug":988,"type":15},"2026-05-16T06:07:40.583615",{"slug":1112,"name":1112,"fn":1113,"description":1114,"org":1115,"tags":1116,"stars":989,"repoUrl":990,"updatedAt":1125},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1117,1120,1121,1124],{"name":1118,"slug":1119,"type":15},"Animation","animation",{"name":1020,"slug":1021,"type":15},{"name":1122,"slug":1123,"type":15},"Creative","creative",{"name":843,"slug":844,"type":15},"2026-05-02T05:31:48.48485",{"slug":1127,"name":1127,"fn":1128,"description":1129,"org":1130,"tags":1131,"stars":989,"repoUrl":990,"updatedAt":1141},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1132,1133,1134,1137,1140],{"name":1122,"slug":1123,"type":15},{"name":843,"slug":844,"type":15},{"name":1135,"slug":1136,"type":15},"Image Generation","image-generation",{"name":1138,"slug":1139,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]