A strategic analysis tool based on Wu Jun's Intelligent Era and On Top of Tides to evaluate AI investment opportunities and industry waves.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wu-ai
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 wu-ai 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 Wu Jun AI Trend Analysis?
The Wu Jun AI Trend skill is a specialized analytical framework designed for Openclaw Skills users to evaluate the trajectory of artificial intelligence. Drawing from the core philosophies in Wu Jun's seminal works, such as The Intelligent Era and On Top of Tides, this skill helps developers and investors identify which 'wave' of AI a project belongs to and whether it possesses the fundamental moats required for long-term success.
By leveraging this skill, users can move beyond market hype to perform rigorous assessments of AI applications. It focuses on the critical intersection of data advantages, specific application scenarios, and sustainable business loops, ensuring that any AI-driven venture is evaluated through the lens of technical truth and historical economic patterns.
Wu Jun AI Trend Analysis Use Cases
- Analyzing AI investment opportunities to identify high-potential startups or projects.
- Determining the current 'wave' of an AI technology (Internet AI vs. Industry AI vs. AGI).
- Evaluating the competitive moat of an AI company based on its data assets.
- Assessing the feasibility of a business model's commercial closed-loop in the AI space.
- Conducting industry disruption analysis to see how AI will transform traditional sectors.
How Wu Jun AI Trend Analysis Works
- The user provides details about an AI company or project, including its data sources, technical stack, and target market.
- The skill applies the Three Waves of AI framework to categorize the project's timing and market maturity.
- It runs the input through a standardized AI investment checklist, scoring it against four critical dimensions: Data Advantage, Application Scenario, Business Closed-loop, and Technical Barriers.
- The system identifies common pitfalls, such as 'Pure Tech' plays without market application or 'Hype-only' valuations.
- It generates a final recommendation based on the formula: AI Investment = Data Advantage × Application Scenario × Business Closed-loop.
Wu Jun AI Trend Analysis Setup
To integrate this skill into your local environment, use the following commands within your Openclaw Skills directory:
# Clone the skill repository
git clone https://github.com/openclaw/skills/wu-jun-ai-trend.git
# Navigate to the skill folder
cd wu-jun-ai-trend
# Register the skill with your agent
openclaw register ./skill.yaml
Wu Jun AI Trend Analysis Data Schema & Taxonomy
The skill organizes analysis into a structured output format to ensure consistency across different Openclaw Skills evaluations:
| Data Component | Description | Format |
|---|---|---|
| Wave Category | Classification of the AI era (1st, 2nd, or 3rd wave) | String |
| Checklist Score | 4-point verification of business and technical viability | Boolean Array |
| Moat Analysis | Breakdown of data quality and accumulation advantages | Markdown List |
| Risk Assessment | Identification of specific 'Common Errors' (e.g., ignoring business loops) | Markdown Block |
| Final Recommendation | Actionable insight and focus areas | Summary String |
Wu Jun AI Trend Analysis Advanced Features
- Multi-wave historical tracking to compare current trends against the 2010-2020 Internet AI era.
- Automated checklist verification for rapid screening of multiple AI projects.
- Integration with industry-analyst and future-forecaster skills for cross-domain trend validation.
- Support for the AI Three Waves theory (2020-2030 Industry AI focus).
SKILL.md
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