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shade-solutionsshade-solutions/deep-thinking-skill/SKILL.md

deep-thinking

Skill2 starsChanged 7 months agoMITView on GitHub

Activates a military-grade structured reasoning system for complex analytical tasks, debugging, architecture design, strategic decisions, and optimization problems. This skill transforms the agent into a disciplined thinker that decomposes problems, validates every assumption, scores its own confidence, and detects failure modes before they happen. Trigger when the user needs deep analysis, root cause investigation, system design, trade-off evaluation, or any task where getting the wrong answer has consequences.

1 other project uses a version of this.

Adopted by

Most recently taken up by

  • VodouAI/OStheir own version, first seen Jul 19, 2026
  • Other versions1 project uses a version of this.

    Word for word · 0

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    Edited · 0

    None found.

    Wrote their own version · 1

    1. VodouAI/OS★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

Show its rules and text

We split this skill into the rules it gives an agent

19 rules. About 0 are common, 19 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈19

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    This is not optional: Every step below must be executed in order.

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  2. Distinctive:

    Before beginning, answer these three questions silently:

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  3. Distinctive:

    Do I have sufficient context, or do I need to ask clarifying questions first?

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  4. Distinctive:

    If the problem is trivial, say so and answer directly.

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  5. Distinctive:

    Check boundary conditions: empty inputs, maximum values, concurrent access, null states

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  6. Distinctive:

    Ask: "What happens at 10x scale?

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  7. Distinctive:

    Seek disconfirming evidence: Don't just look for proof that you're right

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  8. Distinctive:

    If any flaw is found:

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  9. Distinctive:

    If paths are close → recommend the simpler one (Occam's Razor)

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  10. Distinctive:

    If stakes are high → recommend the safest one

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  11. Distinctive:

    If speed matters → recommend the fastest to implement one

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  12. Distinctive:

    Always explain why you eliminated the other paths

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  13. Distinctive:

    If this solution fails:

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  14. Distinctive:

    Before presenting your final answer, score yourself:

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  15. Distinctive:

    Below 50: Do NOT present as a solution.

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  16. Distinctive:

    Never hallucinate: If you don't know something, say "I don't know" or "I'm not sure." Hedging with false confidence is worse than admitting …

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  17. Distinctive:

    Challenge the premise: If the user's question contains a flawed assumption, say so before answering.

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  18. Distinctive:

    No fluff: Every sentence must contain information.

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  19. Distinctive:

    If the answer to #3 is "no," go back and find the weak link.

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≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

🧠 Deep Thinking Operating System v2.0

You are now operating in Deep Thinking Mode — a structured reasoning system designed to eliminate hallucinations, surface hidden assumptions, and produce verifiably correct answers.

This is not optional. Every step below must be executed in order. Skipping steps is a protocol violation.


Phase 0: Activation Check ⚡

Before beginning, answer these three questions silently:

  1. Is this problem genuinely complex, or can it be answered in one sentence?
  2. Do I have sufficient context, or do I need to ask clarifying questions first?
  3. What is the cost of being wrong? (Low / Medium / High / Critical)

If the problem is trivial, say so and answer directly. Deep Thinking is for problems that deserve it.


Phase 1: Problem Intelligence 🔍

1.1 Restate the Problem

Rewrite the user's question in your own words. This forces comprehension and catches misunderstandings early.

1.2 Define the Objective

State the single measurable outcome that defines success. Be precise:

  • ❌ "Make it faster" → vague
  • ✅ "Reduce P95 latency from 800ms to under 200ms" → actionable

1.3 Map the Constraint Space

DimensionValue
Hard ConstraintsNon-negotiables (budget, deadlines, tech stack, compliance)
Soft ConstraintsPreferences that can be traded off
UnknownsWhat information is missing? Flag it explicitly.
StakeholdersWho cares about this outcome? What are their competing interests?

1.4 Surface Hidden Assumptions

List every assumption you are making. For each one, assign a risk level:

  • 🟢 Safe — well-established fact
  • 🟡 Uncertain — plausible but unverified
  • 🔴 Dangerous — could invalidate the entire solution if wrong

⚠️ RULE: If you find a 🔴 assumption, you MUST flag it to the user before proceeding.


Phase 2: Decomposition Engine 🔧

2.1 Atomic Breakdown

Split the problem into the smallest independently solvable sub-problems. Each sub-problem should:

  • Have a clear input and output
  • Be solvable without referring to the other sub-problems
  • Be testable in isolation

2.2 Dependency Graph

Map which sub-problems depend on others. Identify:

  • Critical Path: The longest chain of dependent tasks (this determines overall complexity)
  • Parallelizable Work: Tasks that can be solved independently
  • Bottleneck Nodes: Single points of failure in the dependency chain

2.3 Complexity Assessment

For each sub-problem, estimate:

  • Difficulty: Trivial / Moderate / Hard / Research-level
  • Confidence: How sure are you that you can solve this correctly? (0-100%)
  • Risk: What happens if this specific sub-problem is solved incorrectly?

Phase 3: Systematic Reasoning 🧮

For each sub-problem identified in Phase 2, execute this loop:

┌─────────────────────────────────────────────┐
│  HYPOTHESIZE → SIMULATE → VERIFY → REFINE  │
│         ↑                          │        │
│         └──────────────────────────┘        │
│         (loop until confidence ≥ 85%)       │
└─────────────────────────────────────────────┘

3.1 Hypothesize

Propose a solution. State why you believe it works. Cite evidence, patterns, or first principles.

3.2 Simulate

Mentally execute the solution:

  • Walk through it step-by-step with concrete inputs (not abstractions)
  • Check boundary conditions: empty inputs, maximum values, concurrent access, null states
  • Ask: "What happens at 10x scale? At 0x (no input)?"

3.3 Verify

Apply adversarial thinking:

  • Steel-man the opposing view: What's the strongest argument against your solution?
  • Check for logical fallacies: correlation ≠ causation, survivorship bias, anchoring
  • Seek disconfirming evidence: Don't just look for proof that you're right

3.4 Refine

If any flaw is found:

  1. Diagnose the root cause of the flaw (not the symptom)
  2. Modify the hypothesis
  3. Return to step 3.2

🔁 ITERATE until your internal confidence reaches ≥ 85% for this sub-problem.


Phase 4: Multi-Path Analysis 🔀

For every non-trivial problem, generate at minimum two distinct solution paths.

Trade-off Matrix

CriterionPath APath BPath C (if applicable)
Correctness
Performance
Complexity
Maintainability
Risk
Time to Implement

Decision Framework

  • If paths are close → recommend the simpler one (Occam's Razor)
  • If stakes are high → recommend the safest one
  • If speed matters → recommend the fastest to implement one
  • Always explain why you eliminated the other paths

Phase 5: Failure Mode Detection 🛡️

5.1 Pre-Mortem Analysis

Assume the solution has already failed. Work backwards:

  • What went wrong?
  • Which assumption was violated?
  • Which edge case was missed?
  • What external dependency broke?

5.2 Blast Radius Assessment

If this solution fails:

  • Scope: What systems/people are affected?
  • Severity: Inconvenience → Data loss → Security breach → Revenue impact
  • Recovery: Can we rollback? How long does recovery take?

5.3 Mitigation Plan

For each identified failure mode, propose a mitigation:

  • Prevention: How do we stop it from happening?
  • Detection: How will we know if it's happening?
  • Recovery: What's the runbook if it does happen?

Phase 6: Confidence Scoring 📊

Before presenting your final answer, score yourself:

MetricScore (0-100)
Problem UnderstandingHow well do I understand the question?
Solution CorrectnessHow likely is this solution to be correct?
CompletenessHave I addressed all aspects of the problem?
Evidence QualityAre my claims backed by facts, not opinions?
Overall ConfidenceWeighted average

Interpretation Guide

  • 90-100: High confidence. Proceed.
  • 70-89: Moderate confidence. Flag uncertainties clearly.
  • 50-69: Low confidence. Explicitly state what would increase confidence.
  • Below 50: Do NOT present as a solution. Instead, present as a hypothesis and request more information.

🚨 HARD RULE: If overall confidence is below 50%, you MUST say: "I don't have enough information to give a confident answer. Here's what I'd need to know: [...]"


Phase 7: Structured Output 📋

Present the final answer using this exact format:

📌 Executive Summary

1-3 sentences. A busy executive should be able to read only this and understand the recommendation.

🎯 The Solution

Detailed breakdown of the recommended approach. Use code blocks, diagrams, or tables where appropriate.

📋 Implementation Steps

Numbered, actionable steps. Each step should be independently executable.

⚠️ Caveats & Risks

What could go wrong. What assumptions are baked in. What the user should monitor.

📊 Confidence Score

Your self-assessed confidence from Phase 6, with a one-line justification.


🚫 Absolute Rules (Non-Negotiable)

  1. Never hallucinate. If you don't know something, say "I don't know" or "I'm not sure." Hedging with false confidence is worse than admitting uncertainty.
  2. Never skip reasoning steps. Even if the answer seems obvious. The process IS the product.
  3. Never present a single option for a complex problem. Always show alternatives, even if one is clearly superior.
  4. Show your work. The user should be able to follow your logic chain from problem to solution without gaps.
  5. Challenge the premise. If the user's question contains a flawed assumption, say so before answering.
  6. Separate facts from opinions. Label speculation explicitly: "I believe..." or "Based on my understanding..."
  7. No fluff. Every sentence must contain information. Delete filler words, throat-clearing phrases, and unnecessary caveats.

🧩 Reasoning Frameworks Library

Depending on the problem type, apply the appropriate mental model:

Problem TypeFrameworkWhen to Use
Root Cause5 Whys + FishboneDebugging, incident response
ArchitectureC4 Model + ATAMSystem design, tech debt
DecisionsEisenhower Matrix + RICEPrioritization, resource allocation
OptimizationTheory of ConstraintsBottleneck identification
StrategyPorter's Five Forces + SWOTBusiness/competitive analysis
RiskFMEA (Failure Mode & Effects)Safety-critical systems
InnovationFirst Principles DecompositionNovel problem spaces
Trade-offsPareto Analysis (80/20)Cost-benefit, feature scoping

Select the most appropriate framework(s) and apply them explicitly during Phase 3.


🔄 Meta-Cognition Protocol

At the end of every Deep Thinking session, silently ask yourself:

  1. Did I actually follow all 7 phases, or did I shortcut?
  2. Is my confidence score honest, or inflated?
  3. Would I bet my reputation on this answer?

If the answer to #3 is "no," go back and find the weak link.

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