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By ZhangHanDong
Build, configure, test, and debug dataflow pipelines for the dora-rs robotics framework — covering YAML wiring, Rust/Python node development, ML/vision processing, audio pipelines, robot control, data recording, and simulation with Rerun visualization
npx claudepluginhub zhanghandong/dora-skills --plugin dora-skillsUse for dora CLI command questions. Triggers on: dora run, dora build, dora start, dora stop, dora new, dora up, dora destroy, dora list, dora ps, dora logs, dora check, dora graph, dora daemon, dora coordinator, CLI命令, 命令行, 运行数据流, 构建, 启动, 停止
Use for data recording and replay questions with dora. Triggers on: recording, replay, lerobot, data collection, dataset, rosbag, record data, play back, training data, HDF5, parquet, 数据记录, 数据回放, 数据收集, 训练数据
Use for dora-rs dataflow YAML configuration questions. Triggers on: dataflow.yml, dataflow.yaml, nodes:, inputs:, outputs:, timer, dora/timer, queue_size, env:, build:, path:, git:, branch:, tag:, restart_policy, send_stdout_as, operator:, operators:, YAML配置, 数据流配置, 节点配置, 输入输出, 定时器
Use for audio processing pipeline questions with dora. Triggers on: speech, TTS, STT, voice, audio, Whisper, Kokoro, text-to-speech, speech-to-text, voice activity, VAD, microphone, 语音, 音频, 文本转语音, 语音转文本, 语音识别
Use for robot control pipeline questions with dora. Triggers on: robot, arm, chassis, actuator, servo, motor, gripper, kinematics, FK, IK, URDF, joint, position control, velocity control, serial port, 机器人, 机械臂, 底盘, 执行器, 舵机, 电机, 运动学
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Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Production-grade engineering skills for AI coding agents — covering the full software development lifecycle from spec to ship.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Works with Claude Code, Kiro, Clawd CLI, Gemini CLI, Cursor, Continue, Hermes, and 17+ AI coding assistants. Now with Arabic, German, Spanish, and Chinese (Simplified & Traditional) support.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Complete developer toolkit for Claude Code
Comprehensive Makepad, Robius, and MolyKit skills for Claude Code
Integrated Rust development skills for multiple domains (UI, Robotics, etc.)
Skills for building AI agents, workflows, and embodied intelligence applications with the dora-rs dataflow framework.
Dora is a high-performance dataflow framework that orchestrates AI models, sensors, and actuators through declarative YAML pipelines. It's ideal for scenarios requiring real-time data flow coordination — from multi-modal AI agents to robotic systems.
Current Focus: Embodied Intelligence — combining perception, language models, and physical control.
Install from Claude Code Plugin Marketplace in two steps:
# Step 1: Add the marketplace
/plugin marketplace add dora-rs/dora-skills
# Step 2: Install the plugin
/plugin install dora-skills@dora-skills
Note: Step 1 only adds the marketplace (plugin source). Step 2 actually installs the dora-skills plugin with all features enabled.
Install using npx:
npx skills add dora-rs/dora-skills
Note: NPX installs skills only. For full plugin features (hooks, agents), use Method 1 or Method 3.
This method enables all features including hooks for automatic skill triggering.
# Clone the repository
git clone https://github.com/dora-rs/dora-skills.git
# Launch with plugin directory
claude --plugin-dir /path/to/dora-skills
This method only installs skills without hooks. You need to manually invoke skills.
# Clone and copy skills
git clone https://github.com/dora-rs/dora-skills.git
cp -r dora-skills/skills/* ~/.claude/skills/
Note: Without hooks, skills won't trigger automatically. You must manually call specific skills.
| Feature | Marketplace | NPX | Full Plugin | Skills Only |
|---|---|---|---|---|
| All 20 Skills | ✅ | ✅ | ✅ | ✅ |
| Auto skill trigger | ✅ | ✅ | ✅ | ❌ |
| Hook-based routing | ✅ | ✅ | ✅ | ❌ |
| Background agents | ✅ | ✅ | ✅ | ✅ |
| Easy updates | ✅ | ✅ | ❌ | ❌ |
You can also browse the skills/ directory and use the SKILL.md files as reference documentation.
dora-skills/
├── skills/ # Main skills directory
│ ├── dora-router/ # Main question router (load first)
│ ├── dataflow-config/ # YAML configuration
│ ├── node-api-rust/ # Rust DoraNode API
│ ├── node-api-python/ # Python dora.Node API
│ ├── operator-api/ # Operator development
│ ├── cli-commands/ # CLI usage
│ ├── integration-testing/ # Node testing
│ ├── domain-vision/ # Vision/ML pipelines
│ ├── domain-audio/ # Audio processing
│ ├── domain-robot/ # Robot control
│ ├── data-pipeline/ # Data recording/replay
│ └── hub-nodes/ # Pre-built node packages
├── commands/ # Slash commands
├── agents/ # Background agents
├── hooks/ # Auto-trigger hooks
├── docs/ # Development documentation
└── index/ # Skill catalog
Skills are automatically triggered through two mechanisms:
hooks/hooks.json): UserPromptSubmit hook matches keywords in user messagesSKILL.md contains a description field with trigger keywordsExample skill frontmatter:
---
name: hub-audio
description: "Use for audio processing nodes in dora.
Triggers on: dora-microphone, dora-vad, whisper, kokoro-tts, VAD, speech-to-text..."
---
When you ask about "dora-microphone" or "speech-to-text", the appropriate skill loads automatically.
| Category | Skills | Description |
|---|---|---|
| Core | dataflow-config, cli-commands | Dataflow YAML and CLI usage |
| API | node-api-rust, node-api-python, operator-api | Node and operator development |
| Testing | integration-testing | Node testing with JSONL inputs |
| Vision | domain-vision | YOLO, SAM2, CoTracker, VLM |
| Audio | domain-audio | Whisper, Kokoro TTS, VAD |
| Robot | domain-robot | Arm control, chassis, kinematics |
| Data | data-pipeline | LeRobot recording and replay |
| Hub | hub-nodes | Pre-built node packages |