Smart E-Bike Detection Skill | 电动车智能检测技能
What this skill does
Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision. It supports real-time detection for both video streams and images, counts the number of illegal parking or driving instances, and triggers violation alerts to assist with safety management in parks, communities, and organizations.
Smart E-Bike Detection Skill | 电动车智能检测技能 is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.
How to install Smart E-Bike Detection Skill | 电动车智能检测技能
The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:
- Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
- Open the in-app Skills panel.
- Search for
smyx-electric-vehicle-detection-analysisand click Install. - The skill activates automatically when an incoming message matches its description.
Install from the command line
If you already run the OpenClaw CLI, add Smart E-Bike Detection Skill | 电动车智能检测技能 with a single command:
openclaw skills add smyx-electric-vehicle-detection-analysis
This pulls smyx-electric-vehicle-detection-analysis from ClawHub and installs it into ~/.openclaw/skills/smyx-electric-vehicle-detection-analysis/. Restart the OpenClaw gateway afterwards so the new skill is discovered.
How to use Smart E-Bike Detection Skill | 电动车智能检测技能
Once installed, Smart E-Bike Detection Skill | 电动车智能检测技能 activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.
Turning video into a finished short
Smart E-Bike Detection Skill | 电动车智能检测技能 works with video. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — reframes to vertical, cleans the audio, cuts dead air, burns animated captions, and exports a version sized for TikTok, Reels, and Shorts.
It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.
Manual install (advanced)
If you prefer manual installation:
- Click the Download .zip button above to grab
smyx-electric-vehicle-detection-analysis-9.9.12.zipdirectly from our S3 mirror. - Unzip into
~/.openclaw/skills/smyx-electric-vehicle-detection-analysis/(create the directory if it does not exist). - Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.
Frequently asked questions
How do I install Smart E-Bike Detection Skill | 电动车智能检测技能?
Install Smart E-Bike Detection Skill | 电动车智能检测技能 in the OpenClaw Easy desktop app by opening the Skills panel, searching for smyx-electric-vehicle-detection-analysis, and clicking Install. From a terminal you can run: openclaw skills add smyx-electric-vehicle-detection-analysis. Either way the skill is placed in ~/.openclaw/skills/smyx-electric-vehicle-detection-analysis/.
Is Smart E-Bike Detection Skill | 电动车智能检测技能 free?
Yes. Smart E-Bike Detection Skill | 电动车智能检测技能 is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.
What does Smart E-Bike Detection Skill | 电动车智能检测技能 do?
Automatically detects electric motorcycles and e-bikes in restricted areas based on computer vision.
Related: more developer tools skills
If Smart E-Bike Detection Skill | 电动车智能检测技能 looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:
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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models