An intelligent image analysis tool that identifies life scenes and provides tailored lifestyle recommendations beyond simple descriptions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lifeimagerecognitionskill
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 lifeimagerecognitionskill 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 Life Scene Image Recognition Assistant?
The Life Scene Image Recognition Assistant is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between visual recognition and practical utility. When a user uploads a photo of a real-world scenario—ranging from a home interior to a plate of food—the skill goes beyond mere labeling. It analyzes the context and provides immediate, value-driven suggestions that help users make better decisions in their daily lives.
By leveraging advanced vision models, this skill acts as a personal lifestyle consultant. Whether you are identifying a mysterious plant, seeking styling tips for an outfit, or looking for recipe ideas based on ingredients in a photo, the assistant delivers structured, expert-level feedback tailored to the specific category of the image.
Life Scene Image Recognition Assistant Use Cases
- Culinary Inspiration: Upload a food photo to receive nutritional facts or recipe variations.
- Pet & Plant Care: Identify breeds or species and get immediate care instructions or health tips.
- Interior & Fashion Design: Analyze home layouts or clothing for aesthetic improvements and styling advice.
- Travel Planning: Identify landmarks and receive practical travel tips or local etiquette advice.
How Life Scene Image Recognition Assistant Works
- The user uploads a lifestyle image to the AI agent interface.
- The Openclaw Skills engine processes the image to identify primary subjects and secondary context.
- The skill classifies the image into a specific category such as Food, Pets, Plants, Fashion, Home, or Travel.
- Based on the classification, the AI generates a structured report containing both an identification summary and proactive life suggestions.
- The final output is delivered to the user as a combination of recognition data and actionable advice.
Life Scene Image Recognition Assistant Setup
To integrate this capability into your AI agent, ensure you have the Openclaw environment configured. Install the skill using the following command:
openclaw install life-scene-recognition
Configure your vision model API keys (e.g., GPT-4o or Claude 3.5 Sonnet) in your .env file to ensure the skill has the necessary multimodal processing power.
Life Scene Image Recognition Assistant Data Schema & Taxonomy
The skill processes visual input and produces a structured JSON-like response for the UI to render:
| Attribute | Type | Description |
|---|---|---|
category |
String | The detected scene type (e.g., 'Pet', 'Gourmet') |
identification |
List | Key objects detected within the frame |
suggestions |
Markdown | Actionable lifestyle advice based on the scene |
metadata |
Object | Confidence scores and classification tags |
Life Scene Image Recognition Assistant Advanced Features
- Multi-Category Logic: Automatically switches prompt templates based on whether the image is identified as a 'Pet' vs. 'Home' scene.
- Proactive Advice Engine: Specifically tuned to minimize descriptive filler and maximize practical utility.
- Openclaw Skills Integration: Seamlessly hooks into other productivity tools to save recommendations or set reminders based on image content.
SKILL.md
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