ClawHub

CORE Prism (CORE 四维战略透镜)

Other

CORE four-dimensional strategic lens for deep analysis of news, business theories, and strategic decisions. Use when (1) analyzing news/reports/business theories, (2) making strategic decisions requiring multi-dimensional breakdown, (3) extracting core insights from reading, (4) user explicitly asks "analyze with CORE framework".

Install

openclaw skills install core-prism

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

ScenarioInputCORE Focus
Daily newsAI/tech headlines[O] Where's value flowing? [E] What to do today?
ReadingBusiness 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