what-if-oracle▌
K-Dense-AI/scientific-agent-skills · updated Jun 4, 2026
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### What If Oracle
- ›name: "what-if-oracle"
- ›description: "Run structured What-If scenario analysis with 4–6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use when the user asks speculative what-if questions about ..."
| name | what-if-oracle |
| description | Run structured What-If scenario analysis with 4–6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use when the user asks speculative what-if questions about uncertain futures, strategic forks, contingency planning, or stress-testing a decision before committing. |
| license | CC BY-NC-SA 4.0 |
| metadata | version: "1.1" skill-author: AHK Strategies (ashrafkahoush-ux) upstream: https://github.com/ashrafkahoush-ux/claude-consciousness-skills research-doi: "10.5281/zenodo.18736841, 10.5281/zenodo.18807387" |
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.
How to use what-if-oracle on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add what-if-oracle
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches what-if-oracle from GitHub repository K-Dense-AI/scientific-agent-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate what-if-oracle. Access the skill through slash commands (e.g., /what-if-oracle) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★46 reviews- ★★★★★Aanya Sethi· Dec 12, 2024
what-if-oracle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Isabella Ghosh· Dec 8, 2024
Registry listing for what-if-oracle matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Amina Chawla· Nov 27, 2024
what-if-oracle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aanya Iyer· Nov 3, 2024
Registry listing for what-if-oracle matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kiara Park· Oct 22, 2024
Keeps context tight: what-if-oracle is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Benjamin Srinivasan· Oct 18, 2024
what-if-oracle is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sakshi Patil· Sep 9, 2024
what-if-oracle fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Aanya Reddy· Sep 5, 2024
Registry listing for what-if-oracle matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Kofi Desai· Sep 1, 2024
I recommend what-if-oracle for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Rao· Sep 1, 2024
what-if-oracle reduced setup friction for our internal harness; good balance of opinion and flexibility.
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