A self-learning wealth extraction engine that distills mundane daily information into actionable money signals and market opportunities.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install midas
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 midas 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 Midas Skill?
Midas Skill is a sophisticated intelligence layer designed for Openclaw Skills that transforms repetitive, everyday data—such as chat logs, browsing history, and purchase orders—into a goldmine of financial opportunities. It acts as a digital alchemist, scanning through the 'noise' of your digital life to identify unserved demand, arbitrage windows, and hidden monetization paths that most users overlook.
By functioning as a continuous learning engine, this skill doesn't just analyze data in isolation; it cross-references information over time to build high-confidence investment hypotheses. Whether you are analyzing a specific deal or looking for a 'wealth operating system' match against industry titans like Musk or Buffett, Midas Skill provides the analytical framework to turn casual observations into professional-grade market insights.
Midas Skill Use Cases
- Identifying unserved demand from repeated complaints in Slack or Team communications.
- Detecting geographic or information arbitrage windows within personal browsing and shopping habits.
- Mapping personal expertise and accumulated knowledge to potential consulting or product revenue streams.
- Analyzing complex deal structures to identify hidden leverage and risk allocation.
- Pattern-matching daily activities against the playbooks of successful billionaires to find a strategic market fit.
How Midas Skill Works
- Input ingestion: The user feeds the skill raw data such as text, screenshots, or logs using trigger words like Midas or noise to gold.
- Multi-Lens Extraction: The engine processes the input through six specific lenses, including Money Signal Detection and Network Monetization Paths.
- Cross-Referencing: Midas compares new signals against historical data to increase the confidence score of identified opportunities.
- Pattern Matching: The skill evaluates high-conviction signals against pre-built wealth operating systems (e.g., Peter Thiel's Zero-to-One model).
- Reporting: Midas generates a structured Signal Report including estimated effort, upside, and immediate next actions.
Midas Skill Setup
To integrate this capability into your workflow, follow these steps for Openclaw Skills:
- Navigate to your local skills directory:
cd ~/.claude/skills/
- Clone the midas-skill repository into this folder.
- Initialize the skill by typing Midas in your agent interface.
- Begin feeding data by pasting your first input (e.g., a Slack thread or purchase list) to start the extraction process.
Midas Skill Data Schema & Taxonomy
Midas Skill maintains a cumulative intelligence log to track the evolution of wealth signals. Data is organized as follows:
| Component | Description |
|---|---|
| Signal ID | Unique identifier for each detected opportunity |
| Confidence Score | A percentage (15-95%) based on cross-referenced evidence |
| Extraction Lens | Categorization (e.g., Demand Gap, Arbitrage, Skill Bridge) |
| Evidence Log | Raw quotes or data points that triggered the signal |
| Pattern Match | Links to billionaire reference models (Musk, Buffett, Thiel) |
All session data is stored in a structured JSON evolution log to ensure intelligence compounds over time.
Midas Skill Advanced Features
- Multi-source convergence: Automatically upgrades confidence scores when three or more independent data types (e.g., photo + chat + URL) confirm a signal.
- Billionaire Wealth OS: Advanced benchmarking against the investment theses and risk profiles of world-class entrepreneurs.
- Deal Architecture Deep Dive: Detailed analysis of transaction structures, including OPM (Other People's Money) and hidden leverage points.
- Automated Evolution Logging: Maintains a persistent JSON-based memory of all extracted signals for long-term strategy development.
SKILL.md
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