返回技能列表

what-if-oracle

K-Dense-AI
更新于 Today
26,534
2,743
26,534
在 GitHub 上查看
测试aitesting

关于

The what-if-oracle skill enables structured scenario analysis by generating 4–6 distinct possibility branches (like best, worst, and contrarian cases) for speculative questions. Developers should use it when users need to explore uncertain futures, stress-test decisions, or plan for strategic forks. It systematically maps the logic, probability, and consequences of each potential path instead of providing a single prediction.

快速安装

Claude Code

推荐
主要方式
npx skills add K-Dense-AI/claude-scientific-skills -a claude-code
插件命令备选方式
/plugin add https://github.com/K-Dense-AI/claude-scientific-skills
Git 克隆备选方式
git clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/what-if-oracle

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

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:

BranchDefinitionPurpose
Ω Best CaseEverything goes right. Key assumptions all validate. Lucky breaks occur.Define the ceiling — what's the maximum upside?
α Likely CaseMost probable path given current evidence. No major surprises.Anchor expectations in reality
Δ Worst CaseKey assumptions fail. Two things go wrong simultaneously.Define the floor — what's the maximum downside?
Ψ Wild CardAn unexpected variable enters that nobody is tracking. Black swan territory.Stress-test for the unimaginable
Φ ContrarianThe opposite of the consensus view turns out to be true.Challenge groupthink and reveal hidden assumptions
∞ Second OrderThe 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

FilePurpose
references/scenario-templates.mdDomain-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 仓库

K-Dense-AI/claude-scientific-skills
路径: skills/what-if-oracle
0
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skills

相关推荐技能

evaluating-llms-harness

测试

该Skill通过60+个学术基准测试(如MMLU、GSM8K等)评估大语言模型质量,适用于模型对比、学术研究及训练进度追踪。它支持HuggingFace、vLLM和API接口,被EleutherAI等行业领先机构广泛采用。开发者可通过简单命令行快速对模型进行多任务批量评估。

查看技能

cloudflare-cron-triggers

测试

这个Claude Skill提供了关于Cloudflare Cron Triggers的完整知识库,用于通过cron表达式定时执行Workers。它支持配置周期性任务、维护作业和自动化工作流,并能处理常见的cron触发错误。开发者可以用它来设置定时任务、测试cron处理器,并集成Workflows和Green Compute功能。

查看技能

webapp-testing

测试

该Skill为开发者提供了基于Playwright的本地Web应用测试工具集,支持自动化测试前端功能、调试UI行为、捕获屏幕截图和查看浏览器日志。它包含管理服务器生命周期的辅助脚本,可直接作为黑盒工具运行而无需阅读源码。适用于需要快速验证本地Web应用界面和交互功能的开发场景。

查看技能

finishing-a-development-branch

测试

这个Skill用于开发分支完成后的集成决策,当代码实现完成且测试通过时,它会引导开发者选择合适的工作流。它首先验证测试状态,然后提供合并、创建PR或清理等结构化选项。核心价值在于确保代码质量的同时,标准化分支收尾流程。

查看技能