CORE Prism (CORE四维战略透镜)

Purpose: Deep analysis framework using first principles to find essence, opportunities, risks, and actions.

🎯 Why CORE?

1. MECE principle — Mutually Exclusive, Collectively Exhaustive
2. Forced compression — Forces deep distillation, not summarization
3. Ultra-high signal-to-noise — Judge strategic value in 1 minute

Four Dimensions

[C] Core Logic (第一性本质)

Strip away the packaging, find the essence

In one sentence: What is the first principle (physics or economics) at play?

Don't say: "This disrupts the industry"
Do say: "This exists by lowering X cost / improving Y efficiency"

Examples:

• Sora's essence = A data engine that deeply understands physical world motion
• OpenClaw's essence = An OS that lets AI proactively trigger tasks

[O] Opportunity & Value (价值捕获)

Track the flow of money, data, and power

Where are profit pools shifting? Who controls irreplaceable leverage?

Key questions:

• In this gold rush: Who's mining? Who's selling shovels?
• Where should the user position themselves?

[R] Risk & Contrarian (反共识与脆弱性)

Be a contrarian to crowd emotions

• When crowds are bullish → Point out hidden assumptions (relies on copyrighted data? regulatory risk?)
• When crowds panic → Find wrongly punished opportunities

Key questions:

• What's the second-order negative effect?
• Where's the biggest black swan?

[E] Execution & Echo (战略映射)

Answer "So What?"

For the user's current situation (assets, knowledge, business):

• What action is needed TODAY?
• What should they watch out for?
• If irrelevant → mark as "cognitive reserve only"

Context adaptation:

• Read USER.md for user's profession, current projects, challenges
• Map insights to user's actual context
• Use second-person ("you") when addressing the user

Workflow

1. Receive Input

Supported inputs:

• News article (URL or text)
• Business theory / book chapter
• Strategic decision scenario
• Event / trend description

2. Apply CORE Analysis

For each dimension, ask:

[C] Core Logic:

• What's the REAL shift? (not the headline)
• What first principle explains this?

[O] Opportunity:

• Who profits from this?
• Where's the value capture?
• Infrastructure vs application play?

[R] Risk:

• What's everyone missing? (contrarian take)
• What hidden assumptions does this rely on?
• What's the black swan?

[E] Execution:

• Read USER.md (if available) for context
• Map to user's profession/projects/challenges
• Provide concrete, user-specific actions

3. Output Structured Analysis

Format:

## 【CORE Analysis】

**[C] Core Logic (本质)**:
- [First-principle insight]

**[O] Opportunity (机会)**:
- [Value flow + who wins]
- [Infrastructure vs application]

**[R] Risk (风险)**:
- [Contrarian take]
- [Hidden black swan]

**[E] Execution (行动)**:
- [User-specific action for TODAY]
- [What to watch out for]

Configuration

User context (optional but recommended):

• Path: ~/.openclaw/workspace/USER.md
• Reads: profession, interests, current challenges
• If not found: Uses generic second-person ("you")

No other configuration needed — CORE is a pure analysis tool.

Example Usage

Input: News Article

User: "Analyze this with CORE: 'AI Agent接入硬件，政府警惕'"

Claude:

1. Reads article content
2. Checks USER.md:
   • Profession: Product Manager at AI company
   • Challenge: Designing AI products
3. Applies CORE:
   • [C]: Control shift from human to AI (can operate hardware)
   • [O]: Infrastructure providers (who makes "AI-to-hardware bridges")
   • [R]: Regulatory window is short (3-6 months)
   • [E]: For you: Design "assistive" not "autonomous" AI to reduce regulatory risk
4. Outputs structured analysis

Input: Business Theory

User: "Apply CORE to Clayton Christensen's Disruptive Innovation"

Claude applies CORE:

• [C]: Incumbents fail because they listen to top customers
• [O]: Low-end entrants who serve "non-consumers"
• [R]: Only works if tech improvement > market demand growth
• [E]: Don't just serve premium users; also explore "good enough" low-end

Quality Standards

Forbidden:

• Surface-level "this is important" commentary
• Repeating press release language
• Generic "AI is changing everything" platitudes

Required:

• Sharp, one-sentence essence ([C])
• Contrarian perspective ([R])
• User-specific actionable insight ([E])
• No fluff, all substance

Integration with Other Skills

Called by:

• insight-radar: Analyzes daily news with CORE
• cognitive-forge: Can optionally use CORE for book analysis (though F.A.C.E.T. is preferred)

Calls:

• None (pure analysis tool)

Use Cases

Last updated: 2026-03-27