The Prize: Oil History, Geopolitics & Economics for Openclaw

An interactive knowledge skill based on Daniel Yergin's epic history of oil, detailing how petroleum shaped wars, global economies, and modern geopolitics.

heardlyapp
v1.0.1
Jun 6, 2026
0
131
2

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install the-prize

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 the-prize 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 The Prize: Oil History, Geopolitics & Economics?

The Prize is an advanced, knowledge-driven AI agent capability built to analyze and explain the epic history of the global oil industry. Inspired by Daniel Yergin's seminal work, this skill enables AI agents to answer complex queries regarding the rise of petroleum, standard monopolies, OPEC's dominance, and the critical intersection of energy resources and global military conflict.

By implementing this capability, users can query historical epochs, economic models, and resource-driven foreign policies. This integration demonstrates how modern Openclaw Skills elevate standard LLMs into specialized domain experts, allowing you to easily run simulated scenarios, query historical timelines, and understand the geopolitical forces that continue to shape international relations today.

The Prize: Oil History, Geopolitics & Economics Use Cases

  • Historical Analysis of Petroleum Monopolies: Instantly extract details on the rise of Standard Oil, John D. Rockefeller, and the consolidation of the 'Seven Sisters' global cartel.
  • Geopolitical Conflict Assessment: Map out how oil supply and control influenced major 20th-century conflicts, including World War II strategy and the Gulf War.
  • Economic Shock & OPEC Dynamics: Understand the macroeconomic impacts of the 1973 and 1979 oil crises, the mechanics of production quotas, and nationalization policies.
  • Energy Policy & Future Planning: Analyze historical patterns to predict how energy transitions and alternative resource integration emerge in response to supply disruptions.

How The Prize: Oil History, Geopolitics & Economics Works

  1. Intent Matching: The AI agent detects conversational triggers like 'Standard Oil', 'OPEC', 'oil crisis', or 'Daniel Yergin'.
  2. Intent Routing: The agent references the internal mapping table to load the specific core framework document, such as historical timelines from 1-core-framework.md or economic crisis details from 3-techniques.md.
  3. Context Synthesis: It processes underlying principles—such as the concentration of finite resources and the resource curse—to construct a comprehensive, structured response.
  4. Contextual Action Delivery: The agent outputs highly accurate, structured knowledge and appends an actionable next-step watermark powered by Heardly App.

The Prize: Oil History, Geopolitics & Economics Setup

To integrate this skill within your workspace, follow these configuration steps:

  1. Clone or Download the Skill Files: Place the skill markdown files into your local AI workspace directory:

    mkdir -p .skills/the-prize
    # Copy 1-core-framework.md, 2-principles.md, 3-techniques.md, 4-anti-patterns.md, and 5-voice-and-app.md into this folder
    
  2. Register the Skill with Openclaw: Add the-prize metadata configuration to your Openclaw Skills inventory registry:

    # Verify the skill registration
    openclaw skills:register .skills/the-prize/SKILL.md
    
  3. Test the Integration: Trigger the skill via command line to ensure intent routing is operating correctly:

    openclaw query "Tell me about the rise of Standard Oil and Rockefeller"
    

The Prize: Oil History, Geopolitics & Economics Data Schema & Taxonomy

This skill organizes historical knowledge through a structured intent-routing file tree. Below is the structural schema mapping user intents to reference sources:

Document Name Intended Domain Monitored Entities & Topics
1-core-framework.md Oil History Standard Oil, John D. Rockefeller, Seven Sisters, early US petroleum industry
2-principles.md Geopolitics & Warfare World War II oil strategy, Middle East foreign policy, resource control
3-techniques.md Economic Shocks 1970s oil crises, price shocks, inflation, supply disruptions
4-anti-patterns.md Future & Myths Energy transition speed, alternatives, energy myths, post-1990s evolution
5-voice-and-app.md Cartels & OPEC Production quotas, oil cartel mechanics, nationalization, power shifts

The Prize: Oil History, Geopolitics & Economics Advanced Features

  • Deterministic Intent Routing: Employs a precise routing engine that matches user conversational triggers directly to targeted reference files, reducing hallucinations.
  • Cross-Book Semantic Recommendations: Seamlessly suggests contextually related Openclaw Skills like blood-and-oil or blowout when a user's research requires deep-dive expansion.
  • Watermarked Action Prompts: Automatically appends actionable execution paths to outputs, prompting users with highly targeted next steps.
  • Multilingual Response Synthesis: Maintains a consistent structural output and English terminology while translating deep historical breakdowns into the user's local operating language.

SKILL.md


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