A strategic framework for evaluating AI business opportunities and startup growth based on Sam Altman's exponential thinking and YC logic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install samaltman-thinking
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 samaltman-thinking 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 Sam Altman Thinking?
The Sam Altman Thinking skill is a specialized mental model designed for the AI era. It synthesizes the strategic frameworks of OpenAI CEO Sam Altman and former YC President to help developers and entrepreneurs judge AI startup opportunities, assess technical trends, and execute with high intensity. It moves beyond traditional business logic to embrace exponential growth patterns and mission-driven execution.
By leveraging this skill within Openclaw Skills, users can analyze whether a product is truly AI native or merely an AI enhancement of an old product. It focuses on identifying high-leverage pivots, data flywheels, and structural barriers that prevent incumbents from competing, providing a rigorous filter for what is actually worth building in the rapidly evolving LLM landscape.
Sam Altman Thinking Use Cases
- Evaluating if a new AI business idea has exponential growth potential.
- Deciding between building an AI native product versus adding AI to an existing workflow.
- Assessing the timing of a technical breakthrough to see if a market window has opened.
- Performing a weekly execution check-in to ensure focus on the most important goals.
- Analyzing market opportunities using the YC startup logic of doing things that don't scale early on.
How Sam Altman Thinking Works
- The user provides a business concept or market trend triggered by keywords like AI opportunities or technical trends.
- The skill applies the Importance Filter to evaluate leverage, timing, and unique advantages.
- It categorizes the opportunity into AI Native, AI Rebuilt, or AI Infrastructure.
- It runs a structural barrier check to see if large incumbents are hindered from entering the space.
- The skill outputs a strategic analysis including a clear 'Why Now' justification and specific validation steps.
Sam Altman Thinking Setup
To activate the Sam Altman Thinking framework within your environment, ensure you have the Openclaw Skills package initialized:
# Install the skill via the Openclaw CLI
claw install samaltman-thinking
# Trigger the thinking framework
# Use keywords: AI startup, YC logic, or mission-driven
Sam Altman Thinking Data Schema & Taxonomy
The skill organizes its analysis based on the following taxonomy and reference framework:
| Data Component | Description |
|---|---|
| Exponential Curve | Identification of technologies in the flat period vs. growth period. |
| Opportunity Taxonomy | Classification into AI Native, Rebuilt, or Infrastructure. |
| Data Flywheel | Assessment of how usage depth increases product defensibility. |
| Mission Alignment | Evaluation of the obsession level and talent attraction potential. |
| Reference Docs | Internal mapping to references/framework.md for methodology consistency. |
Sam Altman Thinking Advanced Features
- Multi-agent strategy hooks for simulated YC-style pitch reviews.
- Automated execution state self-checks for high-intensity project management.
- Deep structural barrier analysis for competitive landscape mapping.
- Integration with Openclaw Skills to cross-reference technical trends with business viability.
SKILL.md
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