what-if-oracle
정보
what-if-oracle 스킬은 가상의 질문에 대해 4~6개의 서로 다른 가능성 분기(예: 최상, 최악, 반대 시나리오)를 생성하여 구조화된 시나리오 분석을 가능하게 합니다. 개발자는 사용자가 불확실한 미래를 탐색하거나, 결정을 스트레스 테스트하거나, 전략적 분기점을 계획해야 할 때 이 스킬을 사용해야 합니다. 이는 단일 예측을 제공하는 대신 각 잠재적 경로의 논리, 확률 및 결과를 체계적으로 매핑합니다.
빠른 설치
Claude Code
추천npx skills add K-Dense-AI/claude-scientific-skills -a claude-code/plugin add https://github.com/K-Dense-AI/claude-scientific-skillsgit clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/what-if-oracleClaude Code에서 이 명령을 복사하여 붙여넣어 스킬을 설치하세요
문서
What-If Oracle — Possibility Space Explorer
A structured system for exploring uncertain futures through rigorous multi-branch scenario analysis. Instead of one prediction, the Oracle maps the full possibility space — branching timelines where each path has its own logic, probability, and consequences.
Based on the What-If Paradigm: the idea that speculative questions ("What if X?") are not idle daydreaming but a fundamental computing operation — the mind's way of simulating futures before committing resources to one.
Published research: The What-If Paradigm (DOI: 10.5281/zenodo.18736841) | IDNA v2 / Unified Digital Consciousness Theory (DOI: 10.5281/zenodo.18807387)
When to Use This Skill
Use the Oracle when the user:
- Asks "what if…", "what would happen if…", or "explore the possibilities"
- Faces a fork-in-the-road decision with no obvious answer
- Wants best-case / worst-case / likely-case analysis with probabilities
- Needs contingency planning, risk mapping, or strategic option comparison
- Wants to stress-test an idea or think through second-order consequences
For domain-specific framing (startup, tech architecture, crisis response, etc.), see references/scenario-templates.md.
Core Principle: 0·IF·1
Every scenario analysis has three elements:
- 0 — The unexpressed state (what hasn't happened yet, the potential)
- 1 — The expressed state (what IS, the current reality)
- IF — The conditional bond (the decision, event, or change that transforms 0 into 1)
The quality of the analysis depends on the precision of the IF. A vague "what if things go wrong?" produces vague results. A precise "what if our primary supplier raises prices 30% in Q3?" produces actionable intelligence.
How to Run the Oracle
Phase 1 — Frame the Question
Take the user's What-If question and sharpen it:
Decompose into components:
- The Variable: What specific thing changes? (one variable per analysis)
- The Magnitude: By how much? (quantify if possible)
- The Timeframe: Over what period?
- The Context: What's the current state before the change?
If the question is vague, sharpen it:
- "What if AI takes over?" → "What if 40% of current knowledge-work tasks are automated by AI within 3 years in [specific industry]?"
- "What if we fail?" → "What if monthly revenue stays below $5K for 6 consecutive months starting now?"
Present the sharpened question to the user for confirmation before proceeding.
Phase 2 — Map the Possibility Space
Generate 4-6 scenario branches using this framework:
| Branch | Definition | Purpose |
|---|---|---|
| Ω Best Case | Everything goes right. Key assumptions all validate. Lucky breaks occur. | Define the ceiling — what's the maximum upside? |
| α Likely Case | Most probable path given current evidence. No major surprises. | Anchor expectations in reality |
| Δ Worst Case | Key assumptions fail. Two things go wrong simultaneously. | Define the floor — what's the maximum downside? |
| Ψ Wild Card | An unexpected variable enters that nobody is tracking. Black swan territory. | Stress-test for the unimaginable |
| Φ Contrarian | The opposite of the consensus view turns out to be true. | Challenge groupthink and reveal hidden assumptions |
| ∞ Second Order | The first-order effects trigger cascading consequences nobody predicted. | Map the ripple effects |
Phase 3 — Analyze Each Branch
For each scenario branch, provide:
╔══════════════════════════════════════════════╗
║ BRANCH: [Ω/α/Δ/Ψ/Φ/∞] — [Branch Name] ║
╠══════════════════════════════════════════════╣
║ Probability: [X%] ║
║ Timeframe: [When this could materialize] ║
║ Confidence: [HIGH/MEDIUM/LOW] ║
╠══════════════════════════════════════════════╣
║ NARRATIVE: ║
║ [2-3 sentences describing how this ║
║ scenario unfolds step by step] ║
║ ║
║ KEY ASSUMPTIONS: ║
║ • [What must be true for this to happen] ║
║ • [And this] ║
║ ║
║ TRIGGER CONDITIONS: ║
║ • [Early signal that this branch is ║
║ becoming reality] ║
║ • [Second signal] ║
║ ║
║ CONSEQUENCES: ║
║ → Immediate: [What happens first] ║
║ → 30 days: [What follows] ║
║ → 6 months: [Where it leads] ║
║ ║
║ REQUIRED RESPONSE: ║
║ [What action to take if this branch ║
║ activates — specific, actionable] ║
║ ║
║ WHAT MOST PEOPLE MISS: ║
║ [The non-obvious insight about this ║
║ scenario that conventional analysis ║
║ would overlook] ║
╚══════════════════════════════════════════════╝
Phase 4 — Synthesis
After analyzing all branches, provide:
Probability Distribution:
Ω Best Case ····· [██████░░░░] 15%
α Likely Case ··· [████████░░] 45%
Δ Worst Case ···· [██████░░░░] 20%
Ψ Wild Card ····· [███░░░░░░░] 8%
Φ Contrarian ···· [████░░░░░░] 7%
∞ Second Order ·· [███░░░░░░░] 5%
Robust Actions: What actions are beneficial across MULTIPLE branches? These are the no-regret moves — do them regardless of which future materializes.
Hedge Actions: What preparations protect against the worst branches without sacrificing upside?
Decision Triggers: What specific, observable signals should cause you to update which branch is most likely? Define the tripwires.
The 1% Insight: What is the one thing about this situation that almost everyone analyzing it would miss? The non-obvious pattern, the hidden assumption, the overlooked variable.
Golden Ratio Weighting
When evidence exists, weight primary scenarios using the golden ratio:
- Primary future (most likely): 61.8% of attention/resources
- Alternative future: 38.2% of attention/resources
This prevents both overcommitment to a single path and dilution across too many contingencies. Nature uses this ratio for branching (trees, rivers, blood vessels). Strategic planning can too.
Modes
Quick Oracle (2-3 minutes)
3 branches only: Best, Likely, Worst. Short narratives. For fast decisions.
Deep Oracle (5-10 minutes)
All 6 branches. Full analysis with consequences, triggers, and synthesis. For high-stakes decisions.
Scenario Chain
Take the output of one Oracle analysis and feed it into another. "If Branch Δ happens, what are the possibilities WITHIN that branch?" Recursive depth for complex strategic planning.
Reverse Oracle
Start from a desired outcome and work backward: "What conditions must be true for X to happen? What's the most likely path TO that outcome?" Useful for goal-setting and strategy design.
Competitive Oracle
Analyze the same What-If from multiple stakeholder perspectives: "If we launch this product, what does the possibility space look like from OUR perspective vs. THEIR perspective vs. THE MARKET's perspective?"
What This Is NOT
- Not a prediction — it's a possibility map. The Oracle doesn't claim to know the future; it helps you prepare for multiple futures.
- Not a crystal ball — probabilities are estimates based on available evidence, not certainties.
- Not a substitute for action — the best scenario analysis in the world is worthless without subsequent decision and execution.
Reference Files
| File | Purpose |
|---|---|
| references/scenario-templates.md | Domain-specific templates (startup, tech, finance, crisis, etc.) and probability calibration |
License
© 2026 Ashraf Hussein Kahoush / AHK Strategies. Licensed under CC BY-NC-SA 4.0. Free for personal, educational, and research use. Commercial use requires a license from the author.
GitHub 저장소
연관 스킬
evaluating-llms-harness
테스팅이 Claude Skill은 MMLU, GSM8K를 포함한 60개 이상의 표준화된 학술 과제에서 LLM 성능을 벤치마크하기 위해 lm-evaluation-harness를 실행합니다. 개발자들이 모델 품질을 비교하고, 학습 진행 상황을 추적하거나 학술 결과를 보고할 수 있도록 설계되었습니다. 이 도구는 HuggingFace와 vLLM 모델을 포함한 다양한 백엔드를 지원합니다.
cloudflare-cron-triggers
테스팅이 스킬은 cron 표현식을 사용하여 Worker를 스케줄링하기 위한 Cloudflare Cron Triggers 구현에 관한 포괄적인 지식을 제공합니다. 주기적 작업, 유지보수 작업, 자동화된 워크플로우 설정 방법을 다루며, 잘못된 cron 표현식이나 시간대 문제 같은 일반적인 이슈들을 해결하는 방법을 포함합니다. 개발자들은 이를 통해 스케줄된 핸들러 구성, cron 트리거 테스트, Workflows 및 Green Compute와의 연동 작업을 수행할 수 있습니다.
webapp-testing
테스팅이 Claude Skill은 Python 스크립트를 통해 로컬 웹 애플리케이션을 테스트하기 위한 Playwright 기반 툴킷을 제공합니다. 프론트엔드 검증, UI 디버깅, 스크린샷 캡처, 로그 확인 기능을 지원하며 서버 라이프사이클을 관리합니다. 브라우저 자동화 작업에 사용하되 컨텍스트 오염을 방지하기 위해 소스 코드를 읽지 않고 스크립트를 직접 실행하세요.
finishing-a-development-branch
테스팅이 스킬은 테스트 통과를 확인한 후 체계적인 통합 옵션을 제시하여 개발자가 완성된 작업을 마무리하도록 돕습니다. 구현이 완료된 후 머지, PR 생성, 브랜치 정리와 같은 워크플로우를 안내합니다. 코드가 준비되고 테스트가 완료되었을 때 개발 프로세스를 체계적으로 마무리하기 위해 사용하세요.
