Subway Insights Agent for Openclaw

A specialized research skill for analyzing Subway's global business operations, market reach, and franchise history.

hanxueyuan
v1.0.3
Apr 19, 2026
0
216
1

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install subway

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 subway 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 Subway Insights Agent?

The Subway market intelligence skill is a specialized research tool designed for Openclaw Skills to provide deep dives into the world's largest fast-food chain by store count. It synthesizes complex corporate history, from its 1965 founding as Pete's Super Submarines to its current status as a global franchise behemoth with over 37,000 locations.

This skill enables AI agents to retrieve specific data points regarding Subway's expansion phases, menu evolution, and its unique franchise-centric business model. It is particularly effective for users needing competitive analysis in the food and beverage industry or historical context on the pioneers of the sandwich subscription and customization model.

Subway Insights Agent Use Cases

  • Analyzing historical growth milestones from 1965 to the present day.
  • Conducting competitive research comparing store counts against major rivals like McDonald's or Starbucks.
  • Understanding the franchise-heavy business model that enabled expansion into 100+ countries.
  • Fetching specific metrics on global store distribution and brand evolution.

How Subway Insights Agent Works

  1. The agent parses the request to identify specific Subway-related queries such as store counts, history, or market reach.
  2. It accesses the Openclaw Skills knowledge base to retrieve verified data regarding the 1965 founding and subsequent rebranding to Subway in 1968.
  3. The skill filters data based on the requested period (e.g., 2000s expansion vs. 2020s menu optimization).
  4. Information is structured into comparative tables or summaries to provide high-impact business insights.

Subway Insights Agent Setup

To integrate this capability into your environment, install the package via the Openclaw Skills manager:

openclaw install subway-market-insights

Configure your local configuration file to enable the research-agent-protocol for food industry data sets.

Subway Insights Agent Data Schema & Taxonomy

The skill organizes market data into the following taxonomy:

Data Point Description Type
Timeline Historical milestones from 1965 to 2020s Table
Store Count Global total (approx. 37,000) Numeric
Geographic Reach Coverage across 100+ nations List
Core Strategy Customization and franchise model details Text

Subway Insights Agent Advanced Features

  • Multi-agent support for comparative fast-food industry analysis.
  • Automated trend reporting on the 2020s menu and store optimization phase.
  • Integration hooks for cross-referencing global retail density data within Openclaw Skills.
  • Historical mapping of the brand's shift from local sub shop to global leader.

SKILL.md


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