thinking-framework

What This Skill Does

The thinking-framework skill is a sophisticated cognitive architecture loader for OpenClaw. Unlike standard AI persona prompting—which often results in superficial tone-matching or quoting—this skill performs a deep-level excavation of a target's mental operating system. By analyzing 15 distinct dimensions across cognitive, psychological, and operational layers, the AI maps how a specific thinker, leader, or organization processes reality, assesses risk, and arrives at decisions. It allows you to shift the AI's reasoning baseline from generic intelligence to the specific heuristic patterns of an expert, effectively letting you "think through" a lens such as Stoicism, Charlie Munger’s mental models, or a specific military strategy doctrine.

Installation

To integrate this framework, execute the following command in your terminal:

clawhub install openclaw/skills/skills/alradyin/thinking-framework

Use Cases

• Strategic Stress-Testing: Load the framework of a market competitor or historical military strategist to identify blind spots in your own business plan.
• Complex Decision Analysis: Use the cognitive architecture of a philosopher to evaluate a personal or professional moral dilemma.
• Synthesis of Disparate Fields: Utilize the 'Composite' depth setting to blend multiple methodologies (e.g., combining Lean Startup heuristics with Existentialist inquiry) to tackle novel problems.
• High-Stakes Forecasting: Apply the decision-making patterns of specific historical leaders to current geopolitical or market events to generate realistic scenario outcomes.

Example Prompts

1. "Load Charlie Munger’s mental models; how would he analyze the risks in this current cryptocurrency project proposal?"
2. "Activate the 'Stoic Architect' mindset. Look at my current work-life balance struggles and tell me where my core drives are misaligned with my principles."
3. "Think through the lens of a wartime general from the late 18th century—evaluate the potential outcomes of this team communication strategy."

Tips & Limitations

• Depth Settings: Use 'Standard' for quick reasoning, and 'Deep' when you need the AI to simulate complex psychological motivations or long-term behavioral patterns.
• Transparency: This skill is designed as an analytical lens, not an impersonation tool. The AI will clearly label its output to maintain separation between the simulation and its own base reasoning.
• Clarity: If the target is obscure or multi-faceted, provide a brief time-period qualifier (e.g., 'early-career Steve Jobs') for better accuracy.
• Limitations: The accuracy of the framework is bounded by the available documented evidence (Primary/Secondary sources). When dealing with highly private or poorly documented individuals, the AI may infer patterns based on observed outcomes, which may involve a higher margin of speculation.