By name: dora-router description: "CRITICAL: Use for ALL dora-rs questions including dataflow config, node development, and robotic applications. Triggers on: dora, dora-rs, dataflow, DoraNode, EventStream, dora run, dora build, dataflow.yml, nodes:, inputs:, outputs:, dora/timer, shared memory, arrow, 机器人, robotics, 数据流, 节点, node api, operator, python node, rust node, camera, yolo, detection, vision, audio, speech, arm control, lerobot" globs: ["/dataflow.yml", "/dataflow.yaml", "/*.py", "/*.rs"] source: "https://dora-rs.ai"
Dora Question Router
Version: 1.0.0 | Last Updated: 2026-01-20
Intelligent routing for dora-rs dataflow development questions
Overview
dora-rs is a Dataflow-Oriented Robotic Architecture framework. This router helps navigate to the correct skill based on the question type.
Question Type Routing
Core Development
| Question Pattern | Keywords | Route To |
|---|---|---|
| Dataflow YAML configuration | nodes, inputs, outputs, timer, yaml | dataflow-config |
| Rust node development | DoraNode, EventStream, send_output, init_from_env | node-api-rust |
| Python node development | dora.Node, event, python node | node-api-python |
| Operator development | DoraOperator, on_event, register_operator | operator-api |
| CLI commands | dora run, dora build, dora start, dora stop | cli-commands |
| Testing nodes | integration testing, test inputs, JSONL | integration-testing |
Domain Applications
| Domain Keywords | Route To |
|---|---|
| YOLO, detection, segmentation, VLM, camera, image | domain-vision |
| speech, TTS, STT, voice, audio, Whisper, Kokoro | domain-audio |
| arm control, chassis, actuator, robot, servo | domain-robot |
| recording, replay, lerobot, data collection | data-pipeline |
| dora-yolo, dora-rerun, opencv-video-capture | hub-nodes |
Hub Node Skills (Detailed)
| Question About | Keywords | Route To |
|---|---|---|
| Camera/video capture | opencv-video-capture, realsense, orbbeck, webcam | hub-camera |
| Audio processing | microphone, vad, whisper, pyaudio, kokoro-tts | hub-audio |
| Object detection/tracking | yolo, sam2, cotracker, bounding box, mask | hub-detection |
| Language models | qwen, vlm, llm, internvl, text generation | hub-llm |
| Robot control | piper, reachy, ugv, kit-car, rdt-1b, arm | hub-robot |
| Visualization | rerun, opencv-plot, display, primitives | hub-visualization |
| Data recording | llama-factory-recorder, lerobot-dashboard | hub-recording |
| Translation | opus, argotranslate, translate | hub-translation |
Routing Examples
User: "How do I create a dataflow YAML?"
Route: dataflow-config
User: "How to send output from a Rust node?"
Route: node-api-rust
User: "I want to add YOLO detection to my pipeline"
Route: domain-vision + hub-nodes
User: "How to control a robot arm with dora?"
Route: domain-robot
User: "How to record data for training?"
Route: data-pipeline
Architecture Overview
┌─────────────────────────────────────────────────┐
│ Dataflow YAML │
│ (nodes, inputs, outputs, connections) │
└─────────────────────────────────────────────────┘
│
┌───────────────┼───────────────┐
▼ ▼ ▼
┌───────────────┐ ┌───────────────┐ ┌───────────────┐
│ Python Node │ │ Rust Node │ │ Operator │
│ (dora.Node) │ │ (DoraNode) │ │(DoraOperator) │
└───────────────┘ └───────────────┘ └───────────────┘
│ │ │
└───────────────┼───────────────┘
▼
┌─────────────────────────────────────────────────┐
│ Shared Memory / Arrow Data │
│ (Zero-copy data transfer) │
└─────────────────────────────────────────────────┘
Quick Reference
CLI Commands
| Command | Description |
|---|---|
dora new |
Create new dataflow/node/operator |
dora build |
Build nodes in a dataflow |
dora run |
Run dataflow (standalone) |
dora up |
Start coordinator and daemon |
dora start |
Start dataflow on daemon |
dora stop |
Stop running dataflow |
dora list / dora ps |
List running dataflows |
dora logs |
View node logs |
dora destroy |
Stop coordinator and daemon |
Timer Input Format
inputs:
tick: dora/timer/millis/100 # Every 100ms
tick: dora/timer/secs/5 # Every 5 seconds
Input Connection Format
inputs:
input_name: source_node/output_name
Skill Files
Core Skills
skills/dataflow-config/SKILL.md # YAML configuration
skills/node-api-rust/SKILL.md # Rust DoraNode API
skills/node-api-python/SKILL.md # Python dora.Node API
skills/operator-api/SKILL.md # Operator development
skills/cli-commands/SKILL.md # CLI usage
skills/integration-testing/SKILL.md # Testing nodes
Domain Skills
skills/domain-vision/SKILL.md # ML/Vision pipelines
skills/domain-audio/SKILL.md # Audio processing
skills/domain-robot/SKILL.md # Robot control
skills/data-pipeline/SKILL.md # Data collection
skills/hub-nodes/SKILL.md # Pre-built nodes overview
Hub Node Skills (Detailed)
skills/hub-camera/SKILL.md # Camera capture nodes
skills/hub-audio/SKILL.md # Audio processing nodes
skills/hub-detection/SKILL.md # Object detection/tracking
skills/hub-llm/SKILL.md # Language models
skills/hub-robot/SKILL.md # Robot control nodes
skills/hub-visualization/SKILL.md # Rerun and OpenCV plot
skills/hub-recording/SKILL.md # Data recording nodes
skills/hub-translation/SKILL.md # Translation nodes
Instructions for Claude
When handling dora-rs questions:
- Identify Question Type - Match keywords to routing table
- Load Appropriate Skill - Read the skill file for context
- Provide Examples - Include code examples from skills
- Reference Hub Nodes - Suggest pre-built nodes when applicable
Default Project Settings
When creating dora projects:
- Use latest dora-rs version (0.4.0)
- Use
edition = "2024"for Rust nodes - Use Apache Arrow for data format
- Configure appropriate timer frequencies
Priority Order
- Check if question is about dataflow configuration
- Check if question is about specific API (Rust/Python/Operator)
- Check if question is domain-specific (vision/audio/robot)
- Suggest relevant hub nodes for common tasks