## 【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]

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

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🎯 Why CORE?

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

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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

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[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?

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[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?

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[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

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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]

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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.

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Example Usage

Input: News Article

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

Claude:

• Reads article content
• Checks USER.md:

- Profession: Product Manager at AI company - Challenge: Designing AI products

• 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

• 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

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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

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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)

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Use Cases

Scenario	Input	CORE Focus
Daily news	AI/tech headlines	[O] Where's value flowing? [E] What to do today?
Reading	Business book chapter	[C] First principle? [R] When does this fail?
Decision making	"Should I invest in X?"	[O] Who wins? [R] What's the black swan? [E] Action?

Last updated: 2026-03-27