ZhangHanDong/dora-skills

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SkillsMP-Katalog aktualisiert: 17. Oktober 2026 um 00:09

gesammelte Skills: 20

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# dora-skills [![Version](https://img.shields.io/badge/version-1.1.0-blue.svg)](https://github.com/dora-rs/dora-skills) [![License](https://img.shields.io/badge/license-Apache--2.0-green.svg)](LICENSE) [![Dora](https://img.shields.io/badge/dora--rs-compatible-orange.svg)](https://dora-rs.ai) [English](#english) | [中文](#chinese) --- <a name="english"></a> ## English ### Introduction Skills for building AI agents, workflows, and embodied intelligence applications with the [dora-rs](https://github.com/dora-rs/dora) 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 Skills #### Method 1: Marketplace (Recommended) Install from Claude Code Plugin Marketplace in two steps: ```bash # 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. #### Method 2: NPX Install using npx: ```bash npx skills add dora-rs/dora-skills ``` > **Note**: NPX installs skills only. For full plugin features (hooks, agents), use Method 1 or Method 3. #### Method 3: Full Plugin This method enables **all features including hooks** for automatic skill triggering. ```bash # Clone the repository git clone https://github.com/dora-rs/dora-skills.git # Launch with plugin directory claude --plugin-dir /path/to/dora-skills ``` #### Method 4: Skills Only This method only installs skills without hooks. You need to manually invoke skills. ```bash # 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 Comparison | Feature | Marketplace | NPX | Full Plugin | Skills Only | |---------|-------------|-----|-------------|-------------| | All 20 Skills | ✅ | ✅ | ✅ | ✅ | | Auto skill trigger | ✅ | ✅ | ✅ | ❌ | | Hook-based routing | ✅ | ✅ | ✅ | ❌ | | Background agents | ✅ | ✅ | ✅ | ✅ | | Easy updates | ✅ | ✅ | ❌ | ❌ | #### Manual Usage You can also browse the `skills/` directory and use the SKILL.md files as reference documentation. ### Project Structure ``` 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 ``` ### Auto-Triggering Mechanism Skills are automatically triggered through two mechanisms: 1. **Hooks** (`hooks/hooks.json`): UserPromptSubmit hook matches keywords in user messages 2. **Skill Frontmatter**: Each `SKILL.md` contains a `description` field with trigger keywords Example skill frontmatter: ```yaml --- 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. ### Available Skills | 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 | ### Hub Node Skills (Detailed) | Skill | Description | Key Nodes | |-------|-------------|-----------| | `hub-camera` | Camera capture | opencv-video-capture, dora-pyrealsense, dora-pyorbbecksdk | | `hub-audio` | Audio processing | dora-microphone, dora-vad, dora-distil-whisper, dora-kokoro-tts | | `hub-detection` | Detection/tracking | dora-yolo, dora-sam2, dora-cotracker | | `hub-llm` | Language models | dora-qwen, dora-qwen2-5-vl, dora-internvl | | `hub-robot` | Robot control | dora-piper, dora-reachy2, dora-ugv, dora-rdt-1b | | `hub-visualization` | Visualization | dora-rerun (12 primitives), opencv-plot | | `hub-recording` | Data recording | llama-factory-recorder, lerobot-dashboard | | `hub-translation` | Translation | dora-opus, dora-argotranslate | ### Commands - `/new-dataflow` - Create a new dataflow project - `/add-node` - Add a node to existing dataflow - `/visualize` - Generate dataflow visualization ### Agents - `dataflow-builder` - Generate dataflow YAML configurations - `node-debugger` - Troubleshoot dataflow issues ### Using with Dora After loading skills, you can ask Claude to help you: ``` # Create a vision detection pipeline "Help me build a dataflow with camera input and YOLO detection" # Set up speech-to-speech "Create an audio pipeline with microphone, Whisper, and TTS" # Robot teleoperation "I want to record demonstrations with a robot arm" ``` ### Dora Quick Start 1. Install dora CLI: ```bash pip install dora-rs-cli # or cargo install dora-cli ``` 2. Create and run a dataflow: ```bash dora new my-project --lang python dora build dataflow.yml --uv dora run dataflow.yml ``` ### Resources - [Dora Documentation](https://dora-rs.ai) - [Dora GitHub](https://github.com/dora-rs/dora) - [Node Hub](https://github.com/dora-rs/dora-hub) --- <a name="chinese"></a> ## 中文 ### 简介使用 [dora-rs](https://github.com/dora-rs/dora) 数据流框架构建 AI Agent、工作流和具身智能应用的技能集。 Dora 是一个高性能数据流框架，通过声明式 YAML 管道编排 AI 模型、传感器和执行器。适用于需要实时数据流协调的场景 —— 从多模态 AI Agent 到机器人系统。 **当前重点**: 具身智能 (Embodied Intelligence) —— 融合感知、语言模型与物理控制。 ### 安装 Skills #### 方法 1: Marketplace (推荐) 通过 Claude Code 插件市场安装，分两步： ```bash # 步骤 1: 添加 marketplace /plugin marketplace add dora-rs/dora-skills # 步骤 2: 安装插件 /plugin install dora-skills@dora-skills ``` > **说明**: 步骤 1 仅添加 marketplace（插件源）。步骤 2 才是真正安装 dora-skills 插件。 #### 方法 2: NPX 使用 npx 安装： ```bash npx skills add dora-rs/dora-skills ``` > **说明**: NPX 仅安装 skills。如需完整插件功能（hooks、agents），请使用方法 1 或方法 3。 #### 方法 3: 完整插件此方法启用**所有功能，包括 hooks** 自动触发。 ```bash # 克隆仓库 git clone https://github.com/dora-rs/dora-skills.git # 使用插件目录启动 claude --plugin-dir /path/to/dora-skills ``` #### 方法 4: 仅 Skills 此方法仅安装 skills，不含 hooks。需要手动调用 skills。 ```bash # 克隆并复制 skills git clone https://github.com/dora-rs/dora-skills.git cp -r dora-skills/skills/* ~/.claude/skills/ ``` > **说明**: 没有 hooks，skills 不会自动触发。必须手动调用特定 skill。 #### 功能对比 | 功能 | Marketplace | NPX | 完整插件 | 仅 Skills | |------|-------------|-----|----------|-----------| | 全部 20 个 Skills | ✅ | ✅ | ✅ | ✅ | | 自动触发 skill | ✅ | ✅ | ✅ | ❌ | | Hook 路由 | ✅ | ✅ | ✅ | ❌ | | 后台 agents | ✅ | ✅ | ✅ | ✅ | | 便捷更新 | ✅ | ✅ | ❌ | ❌ | ### 项目结构 ``` dora-skills/ ├── skills/ # 主技能目录 │ ├── dora-router/ # 主路由器（首先加载） │ ├── dataflow-config/ # YAML 配置 │ ├── node-api-rust/ # Rust DoraNode API │ ├── node-api-python/ # Python dora.Node API │ ├── operator-api/ # 操作符开发 │ ├── cli-commands/ # CLI 使用 │ ├── integration-testing/ # 节点测试 │ ├── domain-vision/ # 视觉/ML 管道 │ ├── domain-audio/ # 音频处理 │ ├── domain-robot/ # 机器人控制 │ ├── data-pipeline/ # 数据记录/回放 │ └── hub-nodes/ # 预构建节点包 ├── commands/ # 斜杠命令 ├── agents/ # 后台代理 ├── hooks/ # 自动触发钩子 ├── docs/ # 开发文档 └── index/ # 技能目录 ``` ### 自动触发机制 Skills 通过两种机制自动触发： 1. **Hooks** (`hooks/hooks.json`): UserPromptSubmit 钩子匹配用户消息中的关键词 2. **Skill Frontmatter**: 每个 `SKILL.md` 包含带有触发关键词的 `description` 字段 Skill frontmatter 示例： ```yaml --- name: hub-audio description: "Use for audio processing nodes in dora. Triggers on: dora-microphone, dora-vad, whisper, kokoro-tts, VAD, 语音识别..." --- ``` 当你询问 "dora-microphone" 或 "语音识别" 时，相应的 skill 会自动加载。 ### 可用技能 | 类别 | 技能 | 说明 | |------|------|------| | 核心 | `dataflow-config`, `cli-commands` | 数据流 YAML 和 CLI 使用 | | API | `node-api-rust`, `node-api-python`, `operator-api` | 节点和操作符开发 | | 测试 | `integration-testing` | 使用 JSONL 输入测试节点 | | 视觉 | `domain-vision` | YOLO, SAM2, CoTracker, VLM | | 音频 | `domain-audio` | Whisper, Kokoro TTS, VAD | | 机器人 | `domain-robot` | 机械臂控制、底盘、运动学 | | 数据 | `data-pipeline` | LeRobot 记录和回放 | | Hub | `hub-nodes` | 预构建节点包 | ### Hub 节点技能 (详细) | 技能 | 说明 | 主要节点 | |------|------|----------| | `hub-camera` | 摄像头采集 | opencv-video-capture, dora-pyrealsense, dora-pyorbbecksdk | | `hub-audio` | 音频处理 | dora-microphone, dora-vad, dora-distil-whisper, dora-kokoro-tts | | `hub-detection` | 检测/跟踪 | dora-yolo, dora-sam2, dora-cotracker | | `hub-llm` | 语言模型 | dora-qwen, dora-qwen2-5-vl, dora-internvl | | `hub-robot` | 机器人控制 | dora-piper, dora-reachy2, dora-ugv, dora-rdt-1b | | `hub-visualization` | 可视化 | dora-rerun (12种图元), opencv-plot | | `hub-recording` | 数据记录 | llama-factory-recorder, lerobot-dashboard | | `hub-translation` | 翻译 | dora-opus, dora-argotranslate | ### 命令 - `/new-dataflow` - 创建新的数据流项目 - `/add-node` - 向现有数据流添加节点 - `/visualize` - 生成数据流可视化图 ### Agents - `dataflow-builder` - 生成 dataflow YAML 配置 - `node-debugger` - 调试数据流问题 ### 配合 Dora 使用加载 skills 后，你可以让 Claude 帮助你： ``` # 创建视觉检测管道 "帮我构建一个带摄像头输入和 YOLO 检测的数据流" # 搭建语音对话 "创建一个带麦克风、Whisper 和 TTS 的音频管道" # 机器人遥操作 "我想用机械臂录制演示数据" ``` ### Dora 快速开始 1. 安装 dora CLI： ```bash pip install dora-rs-cli # 或者 cargo install dora-cli ``` 2. 创建并运行数据流： ```bash dora new my-project --lang python dora build dataflow.yml --uv dora run dataflow.yml ``` ### 资源 - [Dora 文档](https://dora-rs.ai) - [Dora GitHub](https://github.com/dora-rs/dora) - [节点仓库](https://github.com/dora-rs/dora-hub) --- ## License Apache-2.0

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Skills in diesem Repository

Softwareentwickler Softwarequalitätssicherungsanalysten und -tester

2 Berufskategorien · 100% klassifiziert

Softwareentwickler

Use for dora operator development questions. Triggers on: DoraOperator, on_event, register_operator, DoraOutputSender, DoraStatus, operator:, operators:, runtime node, shared runtime, lightweight, 操作符, 运算符, 轻量级节点

Quellsprache: Englisch

2026-01-21

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