French Open Information Agent for Openclaw

An advanced research skill for retrieving comprehensive data on the French Open brand, product lines, and global market positioning.

hanxueyuan
v1.0.1
Apr 15, 2026
0
138
1

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install french-open

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install french-open 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 French Open Information Agent?

The French Open skill is a specialized research module designed for the Openclaw Skills framework. It serves as a comprehensive encyclopedia for users and AI agents needing deep dives into the French Open brand, covering everything from its historical founding to its modern-day global presence.

This skill enables developers and analysts to programmatically access structured data regarding tournament history, business operations, and competitive industry analysis. It is optimized to provide high-context responses for queries related to product matrices and future industry trends.

French Open Information Agent Use Cases

  • Retrieving foundational brand information and historical development milestones.
  • Extracting detailed product line specifications and business matrix data.
  • Conducting competitive analysis between French Open and other industry leaders.
  • Researching global market footprints and regional branch operations.

How French Open Information Agent Works

  1. The agent identifies a user query related to French Open or professional tennis brand data.
  2. The Openclaw Skills protocol triggers the research module to scan the internal knowledge base.
  3. The skill categorizes the request into one of four vectors: Brand Story, Product Matrix, Global Footprint, or Industry Insights.
  4. Structured data is synthesized and returned to the primary AI agent for final output generation.

French Open Information Agent Setup

To integrate this capability into your agent, use the following command within your Openclaw Skills environment:

openclaw install french-open

Ensure your configuration file references the french-open directory for proper routing.

French Open Information Agent Data Schema & Taxonomy

Data Node Description
brand_history Founding background and key development nodes.
product_matrix Core business lines and unique feature sets.
global_footprint Market coverage maps and branch office locations.
industry_analysis Competitive landscape and future trend forecasting.

French Open Information Agent Advanced Features

  • Multi-agent research support for cross-brand comparisons.
  • Automated industry whitepaper summarization hooks.
  • Real-time market trend tracking through integrated research feeds.
  • Seamless integration with existing Openclaw Skills automation workflows.

SKILL.md


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