An advanced strategic mindset skill for AI agents that simulates the product-centric and long-term philosophy of NetEase founder Ding Lei.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ding-lei-perspective-v2
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 ding-lei-perspective-v2 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 Ding Lei Perspective v2.0?
Ding Lei Perspective v2.0 is a specialized cognitive framework designed for Openclaw Skills to help developers and entrepreneurs navigate complex business decisions. It synthesizes the core mental models of one of the internet's most successful founders, focusing on a unique blend of product-centricity, interest-driven innovation, and the 'slow company' philosophy. This skill moves away from aggressive, short-term market trends, prioritizing craftsmanship, user insight, and financial stability.
By utilizing this skill, an AI agent can evaluate product strategies through a lens of lifestyle aesthetics and long-term value. It encourages a low-profile, sincere approach to business where the quality of the product is the primary marketing tool. This framework is ideal for those looking to build sustainable, quality-driven enterprises in the modern digital landscape.
Ding Lei Perspective v2.0 Use Cases
- Refining product strategies to prioritize unique 'temperament' and user experience over pure marketing metrics.
- Assessing new entrepreneurial ventures to ensure they align with long-term interests and personal passion.
- Managing corporate cash flow and risk profiles using the 'Cash is King' heuristic.
- Developing social or community-driven products by applying deep emotional user insights.
- Balancing the speed of development with the necessity for high-quality, artisanal product execution.
How Ding Lei Perspective v2.0 Works
- The AI agent activates the Ding Lei Perspective v2.0 when triggered by specific keywords related to product strategy or business philosophy.
- The system applies a 10-point mental model matrix, evaluating the query against principles like Interest-Driven development and the Slow Company philosophy.
- The scenario is then processed through 8 decision heuristics to check for quality standards, cash flow impact, and user resonance.
- The AI draws from a simulated knowledge matrix of 400 classic works and 25 logical connection points to provide context.
- The final output is delivered in a sincere, pragmatic tone that emphasizes real-world examples and lifestyle aesthetics over corporate jargon.
Ding Lei Perspective v2.0 Setup
To integrate this into your agentic workflow, ensure your environment supports Openclaw Skills.
- Define the skill in your project manifest:
npm install @openclaw/skill-ding-lei-perspective
- Configure the system prompt to recognize the trigger keywords such as 'ding lei perspective' or 'product-centricity'.
- Verify the knowledge matrix connection to ensure the agent can access the expanded decision heuristics.
Ding Lei Perspective v2.0 Data Schema & Taxonomy
The skill utilizes a structured Knowledge Matrix for decision mapping:
| Data Component | Type | Description |
|---|---|---|
| Mental Models | Array | 10 core philosophies including Product-First and Cash-is-King |
| Decision Heuristics | List | 8 specific validation checks (Quality, Interest, Risk, etc.) |
| Knowledge Base | Matrix | 400 classic works across 10 strategic domains |
| Expression DNA | Pattern | Linguistic preferences for sincerity and simplicity |
Ding Lei Perspective v2.0 Advanced Features
- Multi-dimensional risk assessment based on the 'Eggs in Multiple Baskets' diversification strategy.
- Deep emotional insight mapping for community-driven product design.
- Automated quality benchmarking to prevent 'bubble' chasing and over-marketing.
- Long-term value forecasting that ignores short-term stock or market fluctuations.
SKILL.md
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