Skill: kedoupi/core-prism (version 1.0.2)

--- name: core-prism description: 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". permissions: filesystem: read: - USER.md # Reads user context for personalizing [E] Execution dimension config: reads: - USER.md # User profile for [E] Execution dimension personalization --- # 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**: ```markdown ## 【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 | 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*


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)