Seeed-Jetson-DevelopTool

In the author's own words, from each skill's SKILL.md — showing the first 30 of 200 files.

• ai-nvr

  Deploy a local AI NVR (Network Video Recorder) on Jetson Orin using NVIDIA VST and Jetson Platform Services with DeepStream pedestrian detection. Requires Jetson Orin with JetPack 6.0 and an IP camera.

  skills/openclaw/ai-nvr/SKILL.md on GitHub (opens in a new tab)

• allxon-ota-update

  Perform over-the-air JetPack/L4T updates on Jetson devices using Allxon DMS Portal. Covers OTA payload generation, upload, and fleet distribution. Requires Ubuntu host PC and Allxon DMS agent.

  skills/openclaw/allxon-ota-update/SKILL.md on GitHub (opens in a new tab)

• allxon-setup

  Install and configure Allxon DMS agent on NVIDIA Jetson devices for remote monitoring and management via the Allxon cloud portal. Supports JetPack 4.6+.

  skills/openclaw/allxon-setup/SKILL.md on GitHub (opens in a new tab)

• alwaysai-setup

  Set up the alwaysAI computer vision platform to deploy ML-based object detection on Jetson devices. Supports live camera and video file inference with TensorRT acceleration. Requires JetPack 4.6 and a host PC.

  skills/openclaw/alwaysai-setup/SKILL.md on GitHub (opens in a new tab)

• backup-restore

  Backup and restore a reComputer Jetson system image using the L4T backup/restore script. Requires Ubuntu host, USB-C cable, and the matching JetPack BSP package.

  skills/openclaw/backup-restore/SKILL.md on GitHub (opens in a new tab)

• bsp-source-build

  Build Seeed's custom BSP source code for Jetson devices — obtain NVIDIA L4T, overlay Seeed patches, compile kernel, and flash. Requires Ubuntu 20.04/22.04 host PC.

  skills/openclaw/bsp-source-build/SKILL.md on GitHub (opens in a new tab)

• clawdbot-development

  Use for Seeed Jetson topic "Develop reComputer Jetson using Clawdbot". Includes local references and execution-safe workflow with prerequisites, commands, and validation checks.

  skills/openclaw/clawdbot-development/SKILL.md on GitHub (opens in a new tab)

• cochl-sense-setup

  Deploy Cochl.Sense sound recognition on Jetson (37 sounds, 94% F1 score). Requires a trial license from Cochl and a USB microphone. Supports JetPack 4.6+.

  skills/openclaw/cochl-sense-setup/SKILL.md on GitHub (opens in a new tab)

• cvedia-setup

  Install and run CVEDIA-RT AI inference engine on NVIDIA Jetson for pre-built computer vision applications (crowd estimation, drone detection, vehicle counting, etc.). Requires JetPack 5.1 and a CVEDIA account.

  skills/openclaw/cvedia-setup/SKILL.md on GitHub (opens in a new tab)

• dashcamnet-xavier-nx-multicamera

  Deploy DashCamNet and PeopleNet pre-trained models on Jetson Xavier NX with multi-camera pipelines using DeepStream, TAO Toolkit, and jetson-multicamera-pipelines. Requires JetPack 4.5/4.6.

  skills/openclaw/dashcamnet-xavier-nx-multicamera/SKILL.md on GitHub (opens in a new tab)

• deciai-setup

  Set up the Deci AI platform on NVIDIA Jetson devices (Nano, Xavier NX, AGX Xavier, AGX Orin) for model optimization, benchmarking, and deployment. Covers Deci account creation, INFERY SDK installation, model zoo usage, custom model optimization via AutoNAC, and on-device performance benchmarking with ONNX/TensorRT. Requires JetPack 4.6.

  skills/openclaw/deciai-setup/SKILL.md on GitHub (opens in a new tab)

• deepseek-quick-deploy

  Quickly deploy DeepSeek-R1 on Jetson using Ollama. Two-command setup. Requires Jetson with >8GB RAM and JetPack 5.1.1+.

  skills/openclaw/deepseek-quick-deploy/SKILL.md on GitHub (opens in a new tab)

• deploy-deepseek-mlc

  Deploy DeepSeek on Jetson Orin using MLC (Machine Learning Compilation) for optimized edge inference. Uses Docker/jetson-containers. Requires Jetson with >8GB RAM and JetPack 5.1.1+.

  skills/openclaw/deploy-deepseek-mlc/SKILL.md on GitHub (opens in a new tab)

• deploy-depth-anything-v3

  Deploy Depth Anything V3 monocular depth estimation on Jetson AGX Orin with ROS2 Humble integration. Builds a ROS2 workspace with TensorRT-optimized ONNX models for real-time depth map generation from USB camera or video input. Requires JetPack 6.2 and ROS2 Humble.

  skills/openclaw/deploy-depth-anything-v3/SKILL.md on GitHub (opens in a new tab)

• deploy-dia

  Deploy the Dia neural text-to-speech model on reComputer Jetson for expressive, multi-speaker audio generation. Installs custom aarch64 PyTorch/torchaudio/triton wheels, clones the Dia repo, patches pyproject.toml, and launches a Gradio WebUI. Requires Jetson with 8GB+ RAM and JetPack 6.1+.

  skills/openclaw/deploy-dia/SKILL.md on GitHub (opens in a new tab)

• deploy-efficient-vision-engine

  Use for Seeed Jetson topic "Efficient Multi-Task Vision Inference Engine Deployment on Jetson". Includes local references and execution-safe workflow with prerequisites, commands, and validation checks.

  skills/openclaw/deploy-efficient-vision-engine/SKILL.md on GitHub (opens in a new tab)

• deploy-frigate

  Deploy Frigate open-source NVR with real-time TensorRT object detection on NVIDIA Jetson (Nano, Xavier NX, Orin). Uses Docker Compose with the Jetson-optimized Frigate image, YOLOv7 model, and RTSP IP camera streams. Requires JetPack 5.x and Docker.

  skills/openclaw/deploy-frigate/SKILL.md on GitHub (opens in a new tab)

• deploy-live-vlm-webui

  Deploy Live VLM WebUI on reComputer Jetson for real-time Vision Language Model interaction via webcam. Installs Ollama with llama3.2-vision model and the live-vlm-webui Python package for browser-based VLM streaming and benchmarking. Requires JetPack 6.2 and USB camera.

  skills/openclaw/deploy-live-vlm-webui/SKILL.md on GitHub (opens in a new tab)

• deploy-nvblox

  Deploy Isaac ROS NVBlox with Orbbec RGB-D camera on Jetson AGX Orin for real-time GPU-accelerated 3D mapping (TSDF/ESDF). Sets up Docker CE, Isaac ROS 3.2, Orbbec SDK ROS2, and builds the NVBlox workspace for obstacle detection and 3D mesh generation. Requires JetPack 6.2 and ROS2 Humble.

  skills/openclaw/deploy-nvblox/SKILL.md on GitHub (opens in a new tab)

• deploy-ollama-anythingllm

  Use for Seeed Jetson topic "Local AI Assistant". Includes local references and execution-safe workflow with prerequisites, commands, and validation checks.

  skills/openclaw/deploy-ollama-anythingllm/SKILL.md on GitHub (opens in a new tab)

• deploy-riva-llama2

  Build a local voice chatbot on Jetson AGX Orin using NVIDIA Riva (ASR + TTS) and Meta Llama2 via text-generation-inference. Sets up NGC, Riva server, Llama2-7b-chat, and a Python voice chatbot demo with speaker/microphone. Requires JetPack 5.1.1+ and 16GB+ RAM.

  skills/openclaw/deploy-riva-llama2/SKILL.md on GitHub (opens in a new tab)

• developtool-device

  Use Seeed Jetson DevelopTool's configured SSH target, camera preview, network-sharing panel and device/robot readings without rediscovering credentials or searching all skills.

  skills/openclaw/developtool-device/SKILL.md on GitHub (opens in a new tab)

• disk-encryption

  Encrypt the root filesystem on Jetson devices during flashing using OPTEE-based encryption keys. Covers BSP source build, OPTEE key generation, encrypted image creation, and flashing with l4t_initrd_flash. Requires an Ubuntu 20.04/22.04 host PC and the target Jetson device (e.g. reComputer J401 with L4T 36.4.3).

  skills/openclaw/disk-encryption/SKILL.md on GitHub (opens in a new tab)

• diy-bsp-build

  Create a custom flashable BSP (Board Support Package) by cloning a complete Jetson development environment. Covers working directory setup, environment cloning via l4t_backup_restore, BSP packaging, and flashing to target devices. Requires Ubuntu 22.04 host PC and USB-C cable.

  skills/openclaw/diy-bsp-build/SKILL.md on GitHub (opens in a new tab)

• ethercat-communication

  No description in the SKILL.md.

  skills/openclaw/ethercat-communication/SKILL.md on GitHub (opens in a new tab)

• ethercat-setup

  Establish EtherCAT communication between Jetson and EtherCAT slave devices using the EtherLab EtherCAT Master driver. Covers driver installation, configuration, slave scanning, and motor control example (MyActuator X4). Requires JetPack 6.2 (L4T 36.4.3).

  skills/openclaw/ethercat-setup/SKILL.md on GitHub (opens in a new tab)

• finetune-llm-llama-factory

  Fine-tune LLMs on Jetson using Llama-Factory via jetson-examples one-line deployment. Covers installation, WebUI-based training with alpaca_zh dataset on Phi-1.5, and testing the fine-tuned model. Requires Jetson with ≥16GB RAM.

  skills/openclaw/finetune-llm-llama-factory/SKILL.md on GitHub (opens in a new tab)

• fix-browser-snap-jetson

  Fix browsers (Chromium, Firefox, etc.) that fail to launch on Jetson devices due to an outdated or broken snapd. Downloads a pinned snapd revision offline, installs it, and holds automatic updates to prevent regression. Use when the user reports that a browser installed via snap cannot open, crashes silently, or shows snap-related errors on Jetson (Ubuntu/L4T).

  skills/openclaw/fix-browser-snap-jetson/SKILL.md on GitHub (opens in a new tab)

• gapi-setup

  Deploy Gapi embeddable API gateway on Jetson Orin for streaming AI micro service integrations. Covers Docker-based installation, workflow engine setup, and community micro services. Requires any Jetson Orin with Docker and 1.3GB storage.

  skills/openclaw/gapi-setup/SKILL.md on GitHub (opens in a new tab)

• generative-ai-intro

  Overview and index of Generative AI capabilities on reComputer Jetson. Covers text generation (LLM chatbots), image generation, audio generation (Whisper STT), multimodal (VLM), RAG, LLM fine-tuning, and quantized inference. This is a reference/navigation skill — it links to specific deployment skills.

  skills/openclaw/generative-ai-intro/SKILL.md on GitHub (opens in a new tab)

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