A sophisticated intelligence-grade thinking engine that combines global web search, 11-dimensional analytical modeling, and high-fidelity reality simulations to uncover hidden truths.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install thinking-engine
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 thinking-engine 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 Multi-Angle Thinking Engine?
The Multi-Angle Thinking engine is a professional-grade framework designed for deep cognitive exploration and strategic forecasting within the Openclaw Skills ecosystem. Unlike standard LLM responses that rely on static training data, this skill actively gathers real-world intelligence and subjects it to rigorous scrutiny across eleven distinct lenses, including philosophical, ethical, financial, and counterfactual perspectives.
By synthesizing raw data with multi-dimensional analysis, the skill creates a living simulation of complex scenarios. It doesn't just describe a situation; it builds a realistic world populated by data-driven characters to discover how decisions actually unfold, making it an essential tool for strategists, researchers, and decision-makers seeking to challenge biases and surface non-obvious conclusions.
Multi-Angle Thinking Engine Use Cases
Array
How Multi-Angle Thinking Engine Works
- Reality Framing: The engine refines the user's prompt to identify hidden assumptions and define core terminology.
- Intelligence Gathering: It executes up to 6 targeted web searches to collect quantitative data, historical precedents, and conflicting expert opinions.
- Multi-Lens Processing: Data is passed through 11 specific lenses (e.g., Ethical, Psychological, Technical) to generate nuanced insights.
- World Building: A reality simulation is constructed with 3-5 distinct personas based on the gathered intelligence.
- Live Simulation: The scenario is run to its logical conclusion, incorporating unexpected variables to see how the system adapts.
- Final Synthesis: Results are consolidated into a high-confidence report highlighting areas of consensus and unresolved tension.
Multi-Angle Thinking Engine Setup
To integrate this deep thinking capability into your environment, ensure your agent has access to web search tools and follow the installation pattern for Openclaw Skills:
# Install the skill into your local agent directory
openclaw install multi-angle-thinking
# Ensure environment variables for search tools are configured
export SEARCH_API_KEY="your_key_here"
Multi-Angle Thinking Engine Data Schema & Taxonomy
The Multi-Angle Thinking skill organizes intelligence into a structured taxonomy to ensure transparency and reproducibility:
| Data Layer | Contents | Source |
|---|---|---|
| Quantitative | Market sizes, growth rates, failure percentages | Web Search / Fetch |
| Precedents | Documented case studies and historical outcomes | Historical Lens |
| Personas | Character backgrounds, interests, and fears | Simulation Engine |
| Synthesis | Consensus points vs. Disputed data | Final Synthesis Stage |
Multi-Angle Thinking Engine Advanced Features
Array
SKILL.md
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