A professional AI skill for accessing product information, brand portfolios, and beauty technology insights from the world's largest cosmetics company.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install loreal
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 loreal 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 L'Oreal Brand Intelligence?
The L'Oreal Brand Intelligence skill is a specialized module for AI agents focused on the global beauty and cosmetics industry. As the world's largest cosmetics manufacturer, L'Oreal maintains a massive ecosystem of skin care, makeup, and hair care products across numerous prestigious brands. This Openclaw Skills integration allows developers and researchers to query detailed information regarding product specifications, pricing, and retail availability.
Beyond simple product lookups, this skill provides deep insights into the company's research and development (R&D) efforts, skin care science, and active ingredients. Whether you are building a retail assistant or a market research tool, this skill bridges the gap between AI agents and the vast catalog of the Paris-based beauty giant.
L'Oreal Brand Intelligence Use Cases
- Querying the latest product releases across skin care, makeup, and hair care categories.
- Identifying and categorizing brands within the L'Oreal portfolio such as Lancome, YSL Beauty, and Kiehl's.
- Locating global retail outlets and specialized beauty counters for physical purchase.
- Extracting scientific data regarding skin care technology and active ingredient research.
- Providing personalized beauty recommendations based on official brand guidelines.
How L'Oreal Brand Intelligence Works
- The AI agent identifies a user intent related to beauty products, cosmetics research, or specific brand inquiries.
- The Openclaw Skills framework triggers the L'Oreal module to parse the request.
- The skill queries the brand's knowledge base to retrieve product details, pricing, or R&D information.
- Relevant data is structured into a developer-friendly format for the agent to process.
- The agent delivers a technical or consumer-oriented response based on the retrieved metadata.
L'Oreal Brand Intelligence Setup
To integrate this skill into your AI agent environment, follow these steps using the Openclaw Skills CLI:
# Install the Openclaw Skills CLI if you haven't already
npm install -g @openclaw/cli
# Add the L'Oreal brand intelligence skill
openclaw add skill loreal-intelligence
# Configure your preferred language (defaults to English/French)
openclaw config loreal-intelligence --lang en
L'Oreal Brand Intelligence Data Schema & Taxonomy
The skill organizes cosmetics data using a structured taxonomy to ensure high precision in search results:
| Attribute | Description | Type |
|---|---|---|
brand_id |
Unique identifier for the sub-brand (e.g., Lancome, YSL) | String |
product_cat |
Category: Skin care, Makeup, or Hair care | Enum |
tech_specs |
R&D details, active ingredients, and scientific patents | Object |
retail_geo |
Global store locations and counter availability | Array |
pricing_tier |
Relative price range and market positioning | String |
L'Oreal Brand Intelligence Advanced Features
- Multi-brand portfolio mapping to navigate between luxury and consumer product divisions.
- Integration with beauty tech R&D databases for ingredient-level analysis.
- Automated alerts for new product launches and seasonal beauty trend reports.
- Cross-referencing capabilities with other Openclaw Skills like Nivea or Shiseido for market comparison.
SKILL.md
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