A comprehensive webcam management skill for querying device status, capturing snapshots, and reviewing AI-summarized security events.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tg-cam-claw
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install tg-cam-claw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Webcam Claw Skill?
The Webcam Claw Skill is a professional-grade integration designed to give AI agents direct control and monitoring capabilities over linked webcam devices. It provides a structured interface to check device lists, online status, and battery levels while offering deep visibility into security events with AI-generated summaries.
Instead of exposing raw, complex JSON data to the end-user, this skill emphasizes clarity by returning processed conclusions and visual assets. It is built for developers who need to integrate real-time visual monitoring and historical event analysis into their AI-driven workflows using the Openclaw Skills framework.
Webcam Claw Skill Use Cases
- Checking the live status and battery levels of multiple security cameras.
- Generating instant snapshots (snapshots) of specific locations like front doors or offices.
- Reviewing daily activity summaries filtered by tags such as motion, sound, or human presence.
- Verifying if a package was delivered by searching for specific events during a time range.
- Accessing specific event images based on AI-detected anomalies.
How Webcam Claw Skill Works
- The AI agent initiates a request, such as listing devices, to identify the target deviceId.
- Commands are sent to the API Base URL (https://skill.webcamapp.cc) using secure headers and environment credentials.
- For live snapshots, the system issues a capture command and waits approximately 3 seconds for the device to upload the image.
- For event history, the skill filters data based on Unix timestamps and specific category tags (e.g., motion, pet).
- The skill processes the raw API response, extracts key data points, and presents a human-readable summary along with relevant image URLs to the user.
Webcam Claw Skill Setup
To enable the Webcam Claw Skill, you must configure your environment with credentials obtained from the Webcam APP.
- Set your environment variables:
export TIVS_CLI_ID="your_client_id"
export TIVS_API_KEY="your_api_key"
- Ensure your
openclaw.jsonconfiguration is updated:
{
"skills": {
"entries": {
"tg-cam-claw": {
"env": {
"TIVS_CLI_ID": "{TIVS_CLI_ID}",
"TIVS_API_KEY": "{TIVS_API_KEY}"
}
}
}
}
}
Webcam Claw Skill Data Schema & Taxonomy
The skill organizes data around devices and events. Responses follow a unified envelope structure:
| Field | Type | Description |
|---|---|---|
requestId |
String | Unique identifier for the API request |
code |
String | Status code (e.g., "ok") |
data |
Object | The core payload containing device or event details |
Event Tags Taxonomy:
- motion: Movement detected
- body: Human shape detected
- pet: Animals detected
- ai_summary: AI-generated text summary of the event
Webcam Claw Skill Advanced Features
- Multi-device synchronization for cross-referencing events across different locations.
- Intelligent time-range parsing (e.g., converting "yesterday afternoon" into precise Unix timestamps).
- AI-driven event summarization to provide concise descriptions instead of raw logs.
- Support for specific event tagging, allowing users to filter for vehicles, livestock, or flame detection.
- Signed URL handling for secure image transmission and display.
SKILL.md
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