🎯

complex-reasoning

🎯Skill

from lobbi-docs/claude

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What it does

complex-reasoning skill from lobbi-docs/claude

complex-reasoning

Installation

Install skill:
npx skills add https://github.com/lobbi-docs/claude --skill complex-reasoning
5
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Last UpdatedJan 24, 2026

Skill Details

SKILL.md

Multi-step reasoning patterns and frameworks for systematic problem solving. Activate for Chain-of-Thought, Tree-of-Thought, hypothesis-driven debugging, and structured analytical approaches that leverage extended thinking.

Overview

# Complex Reasoning Skill

Structured reasoning frameworks for systematic problem solving, leveraging extended thinking capabilities for deep analysis.

When to Use

  • Debugging complex issues with multiple potential causes
  • Architecture decisions requiring trade-off analysis
  • Root cause analysis for production incidents
  • Performance optimization with multiple variables
  • Security vulnerability assessment
  • Code refactoring with many dependencies

Reasoning Frameworks

Chain-of-Thought (CoT)

Linear step-by-step reasoning for sequential problems.

```markdown

Chain-of-Thought Analysis

Problem: [State the problem clearly]

Step 1: Understand the Context

  • What do we know?
  • What are the constraints?
  • What is the expected outcome?

Step 2: Identify Key Components

  • Component A: [description]
  • Component B: [description]
  • Interactions: [how they relate]

Step 3: Analyze Each Component

  • Component A analysis...
  • Component B analysis...

Step 4: Synthesize Findings

  • Key insight 1
  • Key insight 2

Step 5: Formulate Solution

  • Recommended approach
  • Rationale
  • Trade-offs

Conclusion: [Final recommendation with confidence level]

```

Tree-of-Thought (ToT)

Branching exploration for problems with multiple solution paths.

```markdown

Tree-of-Thought Exploration

Root Problem: [Problem statement]

Branch 1: Approach A

β”œβ”€β”€ Pros: [List advantages]

β”œβ”€β”€ Cons: [List disadvantages]

β”œβ”€β”€ Feasibility: [High/Medium/Low]

β”œβ”€β”€ Sub-branch 1.1: [Variation]

β”‚ └── Outcome: [Expected result]

└── Sub-branch 1.2: [Variation]

└── Outcome: [Expected result]

Branch 2: Approach B

β”œβ”€β”€ Pros: [List advantages]

β”œβ”€β”€ Cons: [List disadvantages]

β”œβ”€β”€ Feasibility: [High/Medium/Low]

└── Sub-branches: [...]

Branch 3: Approach C

β”œβ”€β”€ Pros: [...]

β”œβ”€β”€ Cons: [...]

└── Feasibility: [...]

Evaluation Matrix

| Approach | Feasibility | Impact | Risk | Score |

|----------|-------------|--------|------|-------|

| A | High | Medium | Low | 8/10 |

| B | Medium | High | Med | 7/10 |

| C | Low | High | High | 5/10 |

Selected Path: Branch [X] because [reasoning]

```

MECE Framework

Mutually Exclusive, Collectively Exhaustive analysis.

```markdown

MECE Analysis

Problem Space: [Define the complete problem]

Category 1: [Mutually exclusive category]

  • Sub-element 1.1
  • Sub-element 1.2
  • Sub-element 1.3

Category 2: [Mutually exclusive category]

  • Sub-element 2.1
  • Sub-element 2.2

Category 3: [Mutually exclusive category]

  • Sub-element 3.1
  • Sub-element 3.2
  • Sub-element 3.3

Completeness Check:

  • [ ] Categories are mutually exclusive (no overlap)
  • [ ] Categories are collectively exhaustive (cover all cases)
  • [ ] Each sub-element belongs to exactly one category

Priority Matrix:

| Category | Urgency | Impact | Action |

|----------|---------|--------|--------|

| 1 | High | High | Now |

| 2 | Medium | High | Next |

| 3 | Low | Medium | Later |

```

Hypothesis-Driven Debugging

Systematic approach to debugging complex issues.

```markdown

Hypothesis-Driven Debug Session

Symptom: [Observed behavior]

Expected: [What should happen]

Environment: [Relevant context]

Hypothesis 1: [Most likely cause]

Evidence For:

  • [Supporting observation 1]
  • [Supporting observation 2]

Evidence Against:

  • [Contradicting observation]

Test: [How to validate]

Result: [Confirmed/Refuted]

Hypothesis 2: [Second most likely]

Evidence For:

  • [...]

Evidence Against:

  • [...]

Test: [...]

Result: [...]

Root Cause Identified

Cause: [Confirmed root cause]

Evidence Chain: [How we proved it]

Fix: [Remediation steps]

Prevention: [How to prevent recurrence]

```

Code Analysis Patterns

Dependency Analysis

```markdown

Dependency Analysis: [Component Name]

Direct Dependencies

| Dependency | Version | Purpose | Risk Level |

|------------|---------|---------|------------|

| dep-a | 2.3.1 | Auth | Low |

| dep-b | 1.0.0 | Data | Medium |

Transitive Dependencies

  • Total: [N] packages
  • Security vulnerabilities: [N]
  • Outdated: [N]

Dependency Graph

```

[component]

β”œβ”€β”€ dep-a

β”‚ β”œβ”€β”€ sub-dep-1

β”‚ └── sub-dep-2

└── dep-b

└── sub-dep-3

```

Risk Assessment

  1. High Risk: [Dependencies with known issues]
  2. Medium Risk: [Outdated or unmaintained]
  3. Low Risk: [Stable, well-maintained]

Recommendations

  1. [Action item 1]
  2. [Action item 2]

```

Impact Analysis

```markdown

Impact Analysis: [Proposed Change]

Affected Components

| Component | Impact Type | Severity | Test Required |

|-----------|-------------|----------|---------------|

| Service A | Direct | High | Yes |

| Service B | Indirect | Medium | Yes |

| Client C | Downstream | Low | Optional |

Risk Assessment

  • Breaking Changes: [List any]
  • Performance Impact: [Expected effect]
  • Data Migration: [Required/Not required]

Rollback Plan

  1. [Step 1]
  2. [Step 2]
  3. [Verification]

Recommendation

[Go/No-Go with reasoning]

```

Integration with Extended Thinking

When using these frameworks with extended thinking:

```python

# Enable extended thinking for complex reasoning

response = client.messages.create(

model="claude-opus-4-5-20250514",

max_tokens=16000,

thinking={

"type": "enabled",

"budget_tokens": 15000 # Higher budget for complex reasoning

},

system="""You are a systematic problem solver. Use structured

reasoning frameworks like Chain-of-Thought, Tree-of-Thought,

or MECE analysis as appropriate for the problem.""",

messages=[{

"role": "user",

"content": "Analyze this architecture decision using ToT..."

}]

)

```

Best Practices

  1. Choose the right framework: CoT for linear problems, ToT for branching decisions
  2. Document your reasoning: Makes it reviewable and repeatable
  3. Validate assumptions: Each step should build on verified facts
  4. Consider alternatives: Always explore at least 2-3 approaches
  5. Quantify when possible: Use metrics to compare options
  6. Time-box exploration: Set limits on analysis depth

See Also

  • [[extended-thinking]] - Enable deep reasoning capabilities
  • [[deep-analysis]] - Analytical templates
  • [[debugging]] - General debugging patterns
  • [[testing]] - Validation strategies