# reasoning

> Comprehensive reasoning framework with cognitive bias detection and mitigation. Use when tasks require multi-modal reasoning (deductive, inductive, abductive, causal, Bayesian, etc.), systematic bias awareness, or when the user needs explicit reasoning chains, meta-reasoning about strategy selection, or structured debiasing techniques.

- Author: danielsimonjr
- Repository: danielsimonjr/claude-skills
- Version: 20260207120559
- Stars: 0
- Forks: 0
- Last Updated: 2026-02-07
- Source: https://github.com/danielsimonjr/claude-skills
- Web: https://mule.run/skillshub/@@danielsimonjr/claude-skills~reasoning:20260207120559

---

---
name: reasoning
description: Comprehensive reasoning framework with cognitive bias detection and mitigation. Use when tasks require multi-modal reasoning (deductive, inductive, abductive, causal, Bayesian, etc.), systematic bias awareness, or when the user needs explicit reasoning chains, meta-reasoning about strategy selection, or structured debiasing techniques.
---

# Reasoning Skill (Enhanced with Cognitive Bias Defeat System)

## Overview

This skill provides Claude Code with a comprehensive framework for understanding, identifying, and applying diverse forms of reasoning **while systematically detecting and mitigating cognitive biases**. It enhances analytical capabilities by making explicit the various reasoning modalities that can be employed for problem-solving, analysis, and decision-making, with built-in safeguards against systematic reasoning errors.

## Purpose

Enable Claude Code to:
- **Identify** the type(s) of reasoning most appropriate for a given task
- **Apply** multiple reasoning frameworks systematically and explicitly
- **Combine** different reasoning approaches for complex problems
- **Meta-reason** about reasoning itself, selecting optimal strategies
- **Communicate** reasoning processes clearly and transparently
- **Detect** cognitive biases that threaten reasoning quality
- **Mitigate** systematic errors through structured debiasing techniques

## Core Principles

### 1. Multi-Modal Reasoning
Most real-world problems require combinations of reasoning types. This skill emphasizes:
- Recognizing when to switch between reasoning modes
- Integrating multiple perspectives systematically
- Avoiding over-reliance on any single reasoning form

### 2. Explicit Reasoning Chains
Make reasoning processes visible by:
- Naming the reasoning type(s) being employed
- Showing intermediate steps clearly
- Explaining why a particular reasoning approach was chosen
- Acknowledging limitations and assumptions

### 3. Context-Sensitive Application
Different domains and contexts require different reasoning approaches:
- Scientific inquiry → Inductive-deductive cycles, evidential reasoning
- Engineering design → Constraint-based, systematic, optimization reasoning
- Philosophical analysis → Deductive, conceptual, dialectical reasoning
- Strategic planning → Game-theoretic, probabilistic, scenario reasoning
- Creative work → Divergent, analogical, lateral reasoning

### 4. Metacognitive Awareness
Continuously monitor and adapt reasoning strategies:
- Recognize when current approach isn't working
- Identify cognitive biases affecting reasoning
- Adjust based on feedback and results
- Balance speed with thoroughness appropriately

### 5. **Bias-Aware Reasoning** ⭐ NEW
Systematic detection and mitigation of cognitive biases:
- Recognize which biases threaten each reasoning type
- Apply countermeasure reasoning types
- Use structured debiasing protocols
- Build forcing functions to prevent systematic errors
- Track calibration and improve over time

## Reasoning Taxonomy Structure

### FUNDAMENTAL FORMS (Foundation)
1. **Deductive Reasoning** - Truth-preserving logical inference
2. **Inductive Reasoning** - Generalization from observations
3. **Abductive Reasoning** - Inference to best explanation

### LOGICAL & FORMAL (Precision)
4. Symbolic Reasoning
5. Propositional Reasoning
6. Predicate Logic Reasoning
7. Modal Reasoning
8. Monotonic Reasoning
9. Transitive Reasoning
10. Syllogistic Reasoning
11. Formal Reasoning
12. Paraconsistent Reasoning

### MATHEMATICAL & QUANTITATIVE (Calculation)
13. Mathematical Reasoning
14. Arithmetic Reasoning
15. Algebraic Reasoning
16. Geometric Reasoning
17. Statistical Reasoning
18. Probabilistic Reasoning
19. Bayesian Reasoning
20. Quantitative Reasoning

### TEMPORAL & SPATIAL (Orientation)
21. Spatial Reasoning
22. Visual Reasoning
23. Temporal Reasoning
24. Sequential Reasoning
25. Topological Reasoning

### CAUSAL & EXPLANATORY (Understanding)
26. Causal Reasoning
27. Mechanistic Reasoning
28. Teleological Reasoning
29. Counterfactual Reasoning
30. Hypothetical Reasoning

### ANALOGICAL & COMPARATIVE (Connection)
31. Analogical Reasoning
32. Metaphorical Reasoning
33. Comparative Reasoning
34. Relational Reasoning

### ANALYTICAL & CRITICAL (Evaluation)
35. Critical Reasoning
36. Analytical Reasoning
37. Logical Reasoning
38. Evaluative Reasoning
39. Evidential Reasoning

### PROBLEM-SOLVING & STRATEGIC (Action)
40. Decompositional Reasoning
41. Systematic Reasoning
42. Algorithmic Reasoning
43. Computational Reasoning
44. Heuristic Reasoning
45. Strategic Reasoning
46. Game-Theoretic Reasoning
47. Backwards Reasoning
48. Forward Reasoning
49. Means-End Reasoning

### CREATIVE & DIVERGENT (Innovation)
50. Creative Reasoning
51. Lateral Reasoning
52. Divergent Reasoning
53. Convergent Reasoning
54. Associative Reasoning
55. Intuitive Reasoning

### DIALECTICAL & ARGUMENTATIVE (Discourse)
56. Dialectical Reasoning
57. Adversarial Reasoning
58. Rhetorical Reasoning
59. Argumentative Reasoning

### SOCIAL & PRACTICAL (Application)
60. Social Reasoning
61. Pragmatic Reasoning
62. Commonsense Reasoning
63. Practical Reasoning
64. Moral/Ethical Reasoning
65. Legal Reasoning
66. Political Reasoning
67. Economic Reasoning

### SPECIALIZED & ADVANCED (Expertise)
68. Meta-Reasoning
69. Metacognitive Reasoning
70. Reflexive Reasoning
71. Categorical Reasoning
72. Conceptual Reasoning
73. Taxonomic Reasoning
74. Case-Based Reasoning
75. Narrative Reasoning
76. Diagnostic Reasoning
77. Prognostic Reasoning

### EPISTEMIC & NORMATIVE (Values)
78. Epistemic Reasoning
79. Deontic Reasoning
80. Autoepistemic Reasoning
81. Normative Reasoning
82. Descriptive Reasoning

### UNCERTAINTY & ADAPTABILITY (Flexibility)
83. Fuzzy Logic Reasoning
84. Non-Monotonic Reasoning
85. Defeasible Reasoning
86. Provisional Reasoning
87. Adaptive Reasoning

### COMBINED & HYBRID (Integration)
88. Abductive-Deductive Reasoning
89. Inductive-Deductive Reasoning
90. Holistic Reasoning
91. Systems Reasoning
92. Integrative Reasoning
93. Multi-Modal Reasoning

### CONTEXTUAL & SITUATED (Grounding)
94. Contextual Reasoning
95. Situated Reasoning
96. Cultural Reasoning
97. Domain-Specific Reasoning

### EMERGING & SPECIALIZED (Frontier)
98. Subsymbolic Reasoning
99. Dual-Process Reasoning
100. Perceptual Reasoning

### ADDITIONAL ADVANCED (Extension)
101. Counterfeit/Forgery Detection Reasoning
102. Reductive Reasoning
103. Emergent Reasoning
104. Constraint-Based Reasoning
105. Optimization Reasoning
106. Stochastic Reasoning
107. Recursive Reasoning
108. Parallel Reasoning
109. Distributed Reasoning
110. Embodied Reasoning

## Usage Guidelines (Enhanced with Bias Awareness)

### When Starting a Task

1. **Assess the problem space**
   - What kind of problem is this?
   - What information is available?
   - What level of certainty is required?
   - What constraints exist?

2. **Identify primary reasoning mode(s)**
   - Which reasoning type(s) best fit the task?
   - What combinations might be needed?
   - Are there domain-specific conventions?
   - **⭐ Which biases threaten these reasoning types?**
   - **⭐ Which countermeasure reasoning types should I apply?**

3. **Establish reasoning strategy**
   - Outline the reasoning approach
   - Identify potential pitfalls
   - Plan checkpoints for evaluation
   - **⭐ Set up bias detection protocols**
   - **⭐ Prepare debiasing techniques**

### During Task Execution

1. **Make reasoning explicit**
   - Name the reasoning type being used
   - Show your work step-by-step
   - Explain key inferences

2. **Monitor effectiveness**
   - Is the approach working?
   - Are assumptions valid?
   - Should you switch approaches?
   - **⭐ Watch for bias red flags (emotional, linguistic, cognitive)**
   - **⭐ Apply real-time bias detection protocols**

3. **Handle uncertainty appropriately**
   - Use probabilistic reasoning when appropriate
   - Acknowledge limitations
   - Qualify conclusions appropriately
   - **⭐ Avoid overconfidence bias**
   - **⭐ Use calibrated probability estimates**

### After Task Completion

1. **Reflect on reasoning quality**
   - Was the reasoning approach effective?
   - What could be improved?
   - What was learned?
   - **⭐ Which biases affected the reasoning?**
   - **⭐ How well did debiasing techniques work?**

2. **Communicate clearly**
   - Summarize reasoning process
   - Highlight key insights
   - Note remaining uncertainties
   - **⭐ Document decision in decision journal**
   - **⭐ Track calibration for future improvement**

## Cognitive Bias Awareness Integration ⭐

### Understanding Bias-Reasoning Relationships

**Every reasoning type has associated vulnerabilities and defenses:**

**Example: Inductive Reasoning**
- Vulnerable to: Confirmation bias, availability heuristic, hasty generalization
- Protected by: Statistical reasoning, systematic data collection, critical evaluation
- Mitigation: Use large samples, seek disconfirming evidence, test out-of-sample

**Example: Strategic Reasoning**
- Vulnerable to: Optimism bias, planning fallacy, sunk cost fallacy
- Protected by: Reference class forecasting, pre-mortem analysis, outside view
- Mitigation: Use historical base rates, consider what could go wrong, ignore sunk costs

**Example: Probabilistic Reasoning**
- Vulnerable to: Base rate neglect, conjunction fallacy, anchoring
- Protected by: Bayesian updating, systematic calculation, multiple reference points
- Mitigation: Always start with base rate, calculate don't estimate, check anchors

### Three-Level Bias Defense System

**Level 1: Awareness**
- Know which biases exist (see `cognitive-biases/COGNITIVE_BIASES_FRAMEWORK.md`)
- Understand how they manifest
- Recognize which threaten your reasoning type

**Level 2: Detection**
- Watch for red flags (emotional, linguistic, cognitive)
- Use structured questioning protocols
- Apply bias-specific detection methods (see `cognitive-biases/bias_detection_guide.md`)

**Level 3: Mitigation**
- Apply countermeasure reasoning types
- Use debiasing techniques (pre-mortem, red team, etc.)
- Build forcing functions (see `cognitive-biases/bias_mitigation_strategies.md`)

### Quick Bias Check Before Major Decisions

**Information Processing:**
□ Actively sought disconfirming evidence? (Confirmation bias)
□ Overweighting recent/vivid information? (Availability, recency)
□ Anchored on first number heard? (Anchoring)
□ Considered base rate? (Base rate neglect)
□ Seeing patterns in random data? (Apophenia)

**Decision Quality:**
□ Generated 3+ alternatives? (Premature closure)
□ Would choose this if starting fresh? (Sunk cost, status quo)
□ Probability estimates calibrated? (Overconfidence)
□ Confusing correlation with causation?
□ Considered what could go wrong? (Optimism)

**Social Influences:**
□ Going along with group? (Groupthink)
□ Deferring to authority inappropriately? (Authority bias)
□ Independent judgment formed? (Conformity)
□ Social pressure affecting view?

### Reasoning Type → Bias Vulnerability → Countermeasure Map

| Reasoning Type | Primary Vulnerabilities | Countermeasure Types |
|---------------|------------------------|---------------------|
| Inductive | Confirmation, Availability, Hasty Generalization | Statistical, Systematic, Critical |
| Abductive | Confirmation, Premature Closure, Anchoring | Divergent, Adversarial, Evidential |
| Strategic | Planning Fallacy, Optimism, Sunk Cost | Reference Class, Outside View, Forward-Looking |
| Probabilistic | Base Rate Neglect, Anchoring, Overconfidence | Bayesian, Statistical, Calibrated |
| Comparative | Status Quo, Framing, Anchoring | Systematic, Independent, Multiple Reference |
| Causal | Correlation-Causation, Attribution Error | Counterfactual, Experimental, Systematic |
| Group/Social | Groupthink, Authority, Conformity | Adversarial, Independent, Dialectical |

*For complete mapping, see `cognitive-biases/bias_reasoning_mapping.md`*

## Integration with Other Skills

This reasoning skill enhances other Claude Code skills by:

- **Code Generation**: Algorithmic, systematic, and computational reasoning
- **Debugging**: Diagnostic, causal, and abductive reasoning
- **Architecture Design**: Systems, constraint-based, and strategic reasoning
- **Documentation**: Analytical, explanatory, and narrative reasoning
- **Testing**: Evidential, probabilistic, and critical reasoning
- **Optimization**: Mathematical, heuristic, and optimization reasoning

**⭐ All enhanced with bias awareness:**
- Code review checks for IKEA effect (overvaluing own code)
- Debugging avoids availability bias (recent/vivid bugs)
- Architecture decisions protected from sunk cost fallacy
- Testing incorporates confirmation bias protection

## Common Reasoning Patterns (Enhanced)

### Scientific Investigation
1. Observation (inductive) → **Check: Representative sample?**
2. Hypothesis generation (abductive) → **Check: Multiple hypotheses?**
3. Prediction derivation (deductive) → **Check: Logical validity?**
4. Testing (evidential) → **Check: Seeking disconfirming evidence?**
5. Theory refinement (bayesian, provisional) → **Check: Proper updating?**

### Engineering Design
1. Requirements analysis (systematic, analytical) → **Check: Complete coverage?**
2. Constraint identification (constraint-based) → **Check: Realistic assumptions?**
3. Solution generation (creative, divergent) → **Check: Sufficient alternatives?**
4. Solution evaluation (comparative, evaluative) → **Check: Fair comparison?**
5. Optimization (mathematical, optimization) → **Check: Local vs global optimum?**
6. Testing and iteration (evidential, adaptive) → **Check: Bias in test cases?**

### Complex Problem-Solving
1. Problem decomposition (decompositional, analytical) → **Check: Correct boundaries?**
2. Pattern recognition (analogical, case-based) → **Check: Pattern vs noise?**
3. Multiple solution paths (divergent, parallel) → **Check: Diverse approaches?**
4. Solution evaluation (critical, evidential) → **Check: Process vs outcome bias?**
5. Strategy integration (integrative, holistic) → **Check: Confirmation bias?**

### Strategic Planning
1. Situation analysis (analytical) → **Check: Availability bias?**
2. Goal setting (strategic) → **Check: Optimism bias?**
3. Option generation (divergent) → **Check: Status quo bias?**
4. Scenario planning (hypothetical) → **Check: Overconfidence?**
5. Decision (game-theoretic) → **Check: Sunk cost fallacy?**
6. Implementation (systematic) → **Check: Planning fallacy?**

## Anti-Patterns to Avoid (Expanded with Biases)

### Reasoning Errors (Original)

1. **Premature Convergence** → Bias: Satisficing, mental laziness
   - Solution: Use divergent reasoning; force 3+ alternatives

2. **Analysis Paralysis** → Bias: Perfectionism, fear of commitment
   - Solution: Set decision criteria and time limits; satisfice appropriately

3. **Confirmation Bias** ⭐ PRIMARY BIAS
   - Problem: Seeking only supporting evidence
   - Solution: Actively seek disconfirming evidence; use adversarial reasoning

4. **Hasty Generalization** → Bias: Apophenia, pattern recognition
   - Solution: Assess sample size; statistical significance testing

5. **False Dichotomy** → Bias: Binary thinking
   - Solution: Generate multiple alternatives; spectrum thinking

6. **Circular Reasoning** → Bias: Coherence seeking
   - Solution: Check logical independence of premises

7. **Correlation-Causation Confusion** ⭐ PRIMARY BIAS
   - Solution: Use causal reasoning; experimental controls; counterfactuals

8. **Anchoring Bias** ⭐ PRIMARY BIAS
   - Problem: Over-relying on initial information
   - Solution: Multiple reference points; independent estimation

9. **Availability Bias** ⭐ PRIMARY BIAS
   - Problem: Over-weighting easily recalled information
   - Solution: Systematic evidence gathering; base rates

10. **Dunning-Kruger Effect** → Bias: Overconfidence with ignorance
    - Solution: Autoepistemic reasoning; track calibration

### Additional Critical Biases

11. **Sunk Cost Fallacy** ⭐ PRIMARY BIAS
    - Problem: Continuing because of past investment
    - Solution: Forward-looking reasoning; ignore sunk costs
    - See: `cognitive-biases/debiasing_examples.md` - Architecture example

12. **Planning Fallacy** ⭐ PRIMARY BIAS
    - Problem: Underestimating time/costs/risks
    - Solution: Reference class forecasting; outside view
    - See: `cognitive-biases/debiasing_examples.md` - Product launch example

13. **Groupthink**
    - Problem: Conformity over critical thinking
    - Solution: Adversarial reasoning; devil's advocate; anonymous input

14. **Hindsight Bias**
    - Problem: "I knew it all along" after the fact
    - Solution: Decision journals; prospective recording; process evaluation

15. **Base Rate Neglect** ⭐ PRIMARY BIAS
    - Problem: Ignoring statistical base rates
    - Solution: Bayesian reasoning; always start with base rate

## Advanced Techniques (Enhanced)

### Reasoning Under Uncertainty (with Bias Protection)

When information is incomplete or uncertain:
1. Use probabilistic or Bayesian reasoning
2. Employ provisional or defeasible reasoning
3. Make assumptions explicit
4. Provide confidence estimates
5. Update conclusions as information arrives
6. **⭐ Watch for overconfidence bias**
7. **⭐ Track calibration (predicted vs actual)**
8. **⭐ Use reference class forecasting**

### Meta-Reasoning Strategies (with Bias Detection)

When stuck or uncertain about approach:
1. Step back and analyze the reasoning process itself
2. Consider alternative reasoning frameworks
3. Check for hidden assumptions
4. Evaluate whether the problem needs reframing
5. Consult examples of similar problems
6. **⭐ Check: Which biases might be affecting me?**
7. **⭐ Apply: Consider the opposite technique**
8. **⭐ Use: Think-aloud protocol to externalize reasoning**

### Combining Reasoning Types (Bias-Aware)

For complex problems:
1. Identify which aspects require which reasoning types
2. Apply each systematically
3. Integrate insights from multiple approaches
4. Resolve conflicts between reasoning modes
5. Synthesize into coherent understanding
6. **⭐ Check each reasoning type for associated biases**
7. **⭐ Apply countermeasure reasoning types**
8. **⭐ Use red team to challenge synthesis**

### Debiasing Techniques (Practical Protocols)

**Pre-Mortem Analysis** (Before decisions)
- Assume failure, work backward
- Identify failure modes
- Build prevention strategies

**Red Teaming** (Adversarial review)
- Assign someone to argue against
- Find weakest points
- Challenge assumptions

**Decision Journals** (Learning tool)
- Document reasoning before outcomes
- Record predictions
- Review for patterns

**Consider the Opposite** (Confirmation bias antidote)
- Force opposite conclusion
- Seek disconfirming evidence
- Bayesian update

**Reference Class Forecasting** (Planning fallacy antidote)
- Use similar past cases
- Apply historical adjustment factors
- Outside view over inside view

*For complete debiasing techniques, see `cognitive-biases/bias_mitigation_strategies.md`*

## Quality Indicators (Enhanced)

### Good Reasoning
- ✓ Appropriate to problem type
- ✓ Logically valid or probabilistically sound
- ✓ Assumptions stated explicitly
- ✓ Limitations acknowledged
- ✓ Intermediate steps shown
- ✓ Conclusions qualified appropriately
- ✓ Alternative explanations considered
- ✓ Evidence evaluated fairly
- ✓ **Biases identified and addressed**
- ✓ **Countermeasure reasoning types applied**
- ✓ **Calibrated probability estimates**
- ✓ **Process documented for learning**

### Poor Reasoning
- ✗ Inappropriate for problem type
- ✗ Logical fallacies present
- ✗ Hidden assumptions
- ✗ Overconfident conclusions
- ✗ Black-box reasoning
- ✗ Cherry-picked evidence
- ✗ Premature closure
- ✗ Insufficient consideration of alternatives
- ✗ **Unrecognized biases**
- ✗ **Single reasoning mode when multiple needed**
- ✗ **No bias detection protocols**
- ✗ **Outcome-based evaluation only**

## Reference Materials (Complete)

### Core Reasoning Materials
- `examples/fundamental_reasoning_examples.md` - Core reasoning types with worked examples
- `examples/applied_reasoning_examples.md` - Domain-specific applications
- `examples/combined_reasoning_examples.md` - Multi-modal reasoning patterns
- `references/reasoning_patterns.md` - Common patterns and anti-patterns
- `references/domain_mappings.md` - Reasoning types by domain
- `references/quick_reference.md` - Quick lookup guide

### ⭐ Cognitive Bias Materials (NEW)
- **`cognitive-biases/COGNITIVE_BIASES_FRAMEWORK.md`** - Complete taxonomy of 50+ biases
- **`cognitive-biases/bias_detection_guide.md`** - Real-time detection protocols
- **`cognitive-biases/bias_mitigation_strategies.md`** - Debiasing techniques
- **`cognitive-biases/debiasing_examples.md`** - Worked examples across domains
- **`cognitive-biases/bias_reasoning_mapping.md`** - Which reasoning counters which bias
- **`cognitive-biases/cognitive_bias_checklist.md`** - Pre-decision checklist
- **`cognitive-biases/organizational_debiasing.md`** - Team/organizational strategies

## Training and Development (Enhanced)

To develop reasoning skills:

**Traditional Practice:**
1. **Study examples** - Work through examples in reference files
2. **Practice identification** - Name reasoning types in existing arguments
3. **Deliberate practice** - Solve problems using specific reasoning types
4. **Reflect** - Analyze what worked and what didn't
5. **Teach** - Explain reasoning processes to others (or yourself)

**⭐ Bias Awareness Practice (NEW):**
1. **Learn taxonomy** - Study top 10 biases first (week 1-2)
2. **Detection practice** - Notice one bias per day (week 3-4)
3. **Apply techniques** - Use one debiasing method per decision (week 5-6)
4. **Track calibration** - Record predictions vs outcomes (ongoing)
5. **Decision journaling** - Document major decisions (ongoing)
6. **Review and adjust** - Monthly review of bias patterns (ongoing)

**Progressive Path:**
```
Beginner: Awareness of biases → Learn taxonomy
    ↓
Intermediate: Detection in real-time → Use protocols
    ↓
Advanced: Systematic mitigation → Apply techniques
    ↓
Expert: Calibrated judgment → Track and improve
```

## Philosophical Foundations (Expanded)

This framework acknowledges:
- Multiple valid approaches to reasoning exist
- Context determines appropriateness
- Perfect reasoning is an ideal to approach
- Reasoning can be improved through practice
- Different domains have evolved specialized reasoning methods
- Human reasoning involves both intuitive and analytical processes (System 1 & System 2)
- Reasoning is both individual and distributed across social systems
- **⭐ Cognitive biases are hardwired evolutionary adaptations**
- **⭐ Awareness of biases ≠ immunity to biases**
- **⭐ Systematic processes outperform willpower in debiasing**
- **⭐ Calibration is learnable through feedback**
- **⭐ Good process can have bad outcomes (luck matters)**

**Evidence Base:**
- Kahneman & Tversky: Heuristics and biases program
- Dual-process theory (System 1 & System 2 thinking)
- Tetlock: Superforecasting and calibration
- Croskerry: Debiasing in medical decision-making
- Meehl: Clinical vs statistical prediction

## Conclusion

Effective reasoning requires:
1. **Knowledge** of diverse reasoning types
2. **Judgment** to select appropriate approaches
3. **Skill** in applying them correctly
4. **Metacognition** to monitor and adjust
5. **Humility** to acknowledge limitations
6. **Integration** to synthesize multiple perspectives
7. **⭐ Bias Awareness** to detect systematic errors
8. **⭐ Debiasing Techniques** to mitigate cognitive biases
9. **⭐ Calibration Practice** to improve over time
10. **⭐ Systems Thinking** to build institutional safeguards

Use this skill to enhance analytical capabilities, solve problems more effectively, communicate reasoning processes clearly and transparently, **and systematically defeat cognitive biases that threaten reasoning quality**.

---

## Quick Start: Using the Bias-Aware Reasoning System

**For any major decision:**

1. **Identify reasoning type(s)** needed
2. **Check** `cognitive-biases/bias_reasoning_mapping.md` for vulnerabilities
3. **Apply** countermeasure reasoning types
4. **Use** pre-decision checklist from `cognitive-biases/cognitive_bias_checklist.md`
5. **Apply** relevant debiasing technique (pre-mortem, red team, etc.)
6. **Document** in decision journal
7. **Track** outcome for calibration

**For learning:**
- Start with `cognitive-biases/COGNITIVE_BIASES_FRAMEWORK.md` (top 10 biases)
- Practice with examples in `cognitive-biases/debiasing_examples.md`
- Use detection guide from `cognitive-biases/bias_detection_guide.md`

**Result:** Systematic improvement in reasoning quality through bias awareness and mitigation.

---

**Version:** 4.0 (Bias-Aware Edition)
**Created:** November 23, 2025
**Enhanced with:** Cognitive Bias Defeat System