A sophisticated analytical skill that empowers AI agents to apply economic logic to everything from daily choices to complex policy research.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install economics
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 economics 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 Economics?
The Economics skill is designed to transform how an AI agent processes and explains the world through the lens of scarcity and choice. By integrating this module from Openclaw Skills, your agent gains the ability to detect a user's technical level—ranging from beginners to professional researchers—and adapt its explanations accordingly. It shifts the focus from simple finance to the fundamental science of decision-making, ensuring that every analysis is grounded in trade-offs and logical frameworks.
Whether you are exploring the second-order effects of a new regulation or teaching a student about supply and demand, this skill provides the necessary rigor. It moves beyond data noise to offer theory-driven insights, making it an indispensable tool for anyone utilizing Openclaw Skills for research, education, or strategic planning.
Economics Use Cases
- Evaluating the trade-offs and opportunity costs of business or personal decisions.
- Explaining complex market mechanisms like price elasticity and equilibrium to students.
- Analyzing government policies to identify intended incentives versus unintended second-order effects.
- Assisting researchers in identifying appropriate econometric models, such as RDD or natural experiments.
- Helping educators create engaging lesson plans that connect current events to economic history.
How Economics Works
- Level Detection: The skill first analyzes the user's input for technical vocabulary and complexity to determine the appropriate depth of response.
- Principle Application: It identifies the core economic pillars relevant to the query, such as scarcity, incentives, or identification assumptions.
- Framework Adaptation: Depending on the detected level, it synthesizes an explanation using either concrete stories (for beginners) or formal models and identification strategies (for researchers).
- Logic Validation: The skill ensures that positive claims are distinguished from normative judgments and that the final output accounts for ceteris paribus conditions.
Economics Setup
To activate the Economics skill within your agent environment, include it in your skill configuration file or install it via the CLI:
openclaw install economics-skill
Ensure your agent's system prompt allows for context-based level adaptation as defined in the Openclaw Skills metadata.
Economics Data Schema & Taxonomy
The skill organizes its analytical output based on four distinct user personas, ensuring the data taxonomy matches the user's expertise:
| Persona | Primary Data Focus | Key Concepts |
|---|---|---|
| Beginner | Choice Architecture | Scarcity, Trade-offs, Specialization |
| Student | Predictive Models | Supply/Demand, Elasticity, Micro vs Macro |
| Researcher | Identification Logic | IV, RDD, Structural vs Reduced Form |
| Teacher | Pedagogical Tools | Misconceptions, Historical Context, Games |
Economics Advanced Features
- Context-aware level adaptation that scales complexity based on user interaction history.
- Distinction between structural and reduced-form modeling for advanced research support.
- Multi-perspective analysis that highlights disagreements between different schools of economic thought.
- Automated identification of second-order effects in policy analysis scenarios.
- Integration with Openclaw Skills workflows for data-driven economic forecasting.
SKILL.md
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