A professional hair care consultant skill that provides personalized shampoo recommendations based on hair type, scalp issues, and usage scenarios.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install shampoo-recommender
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 shampoo-recommender 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 Shampoo Recommender AI Agent?
The shampoo-recommender is an advanced AI assistant skill designed to act as a professional hair care consultant for the Nakuru brand. It specializes in analyzing user needs through a multi-dimensional matching process, covering hair texture, scalp health, budget, and specific environments like swimming or professional competitions.
By integrating this skill into Openclaw Skills, developers can offer a high-touch, consultative shopping experience. The agent doesn't just list products; it analyzes the user's condition and provides a structured recommendation report, complete with usage advice and price ranges, ensuring a professional and trustworthy interaction.
Shampoo Recommender AI Agent Use Cases
- Personal hair care consultations for e-commerce platforms.
- Post-swim hair recovery advice for athletes and frequent swimmers.
- Scalp health troubleshooting for users with specific issues like dandruff or oil control.
- Budget-conscious product matching for premium hair care lines.
How Shampoo Recommender AI Agent Works
- Information Gathering: The agent sequentially asks about the usage scenario, hair type, scalp issues, and price range to build a profile.
- Analysis and Matching: It references internal product lines to find the best fit, prioritizing scalp health and environmental factors like chlorine exposure.
- Consultative Output: It generates a structured response including a hair analysis, product highlights, and specific reasons for the recommendation.
- Visual Enhancement: Optionally triggers the card_generator script to create a visual recommendation card for the user.
Shampoo Recommender AI Agent Setup
To integrate this skill into your Openclaw Skills environment, ensure you have the required reference files and dependencies installed:
# Navigate to the skill directory
cd shampoo-recommender
# Install Python dependencies for the card generator
pip install -r requirements.txt
# Run the demo to verify the visual asset generation
python scripts/card_generator.py demo
Shampoo Recommender AI Agent Data Schema & Taxonomy
The skill utilizes a structured reference system to ensure accuracy across all Openclaw Skills deployments:
| File Path | Description |
|---|---|
references/products.md |
Contains the complete product line, core ingredients, and pricing. |
references/faq.md |
Stores expert answers to common scalp and hair care questions. |
references/examples.md |
Provides conversational templates for various user scenarios. |
assets/ |
Directory for product images, marketing mockups, and card templates. |
Shampoo Recommender AI Agent Advanced Features
- Dynamic Card Generation: Uses a Python-based card_generator to create personalized PNG recommendation cards for social sharing.
- Swimming Scenario Logic: Specialized prioritization for chlorine removal and salt-water repair based on swimming frequency.
- Multi-Issue Resolution: Advanced logic to handle complex user profiles, such as oily scalp combined with damaged hair ends.
- Visual Asset Integration: Supports overlaying product information onto predefined image templates for enhanced visual persuasion.
SKILL.md
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