---
name: deep-analysis-2ef87c4c2511
description: Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.
allowed-tools:
  - Bash
  - Read
  - Write
  - Edit
  - Glob
  - Grep
  - Task
  - WebFetch
  - WebSearch
dependencies:
  - extended-thinking
  - complex-reasoning
triggers:
  - analyze
  - audit
  - review
  - assess
  - evaluate
  - investigate
  - deep dive
  - comprehensive review
  - security analysis
  - performance analysis
  - code audit
---

# Deep Analysis Skill

Comprehensive analytical templates for thorough investigation, audits, and evaluations leveraging extended thinking capabilities.

## When to Use

- **Code audits** requiring systematic review
- **Security assessments** and threat modeling
- **Performance analysis** and optimization planning
- **Architecture reviews** and technical debt assessment
- **Incident post-mortems** and root cause analysis
- **Compliance audits** and risk assessments

## Analysis Templates

### Code Audit Template

```markdown
## Code Audit Report

**Repository**: [repo-name]
**Scope**: [files/modules audited]
**Date**: [YYYY-MM-DD]
**Auditor**: Claude + [Human reviewer]

### Executive Summary
[2-3 sentence overview of findings]

### Audit Criteria
- [ ] Code quality and maintainability
- [ ] Security vulnerabilities
- [ ] Performance concerns
- [ ] Test coverage
- [ ] Documentation completeness
- [ ] Dependency health

### Critical Findings
| ID | Severity | Location | Issue | Recommendation |
|----|----------|----------|-------|----------------|
| C1 | Critical | file:line | [Issue] | [Fix] |
| C2 | Critical | file:line | [Issue] | [Fix] |

### High Priority Findings
| ID | Severity | Location | Issue | Recommendation |
|----|----------|----------|-------|----------------|
| H1 | High | file:line | [Issue] | [Fix] |

### Medium Priority Findings
[...]

### Low Priority / Suggestions
[...]

### Metrics
| Metric | Value | Target | Status |
|--------|-------|--------|--------|
| Test Coverage | 75% | 80% | ⚠️ |
| Cyclomatic Complexity | 12 | <10 | ⚠️ |
| Technical Debt | 4.2d | <3d | ❌ |
| Security Score | 8/10 | 9/10 | ⚠️ |

### Recommendations
1. **Immediate**: [Critical fixes]
2. **Short-term**: [Within sprint]
3. **Long-term**: [Tech debt reduction]

### Sign-off
- [ ] All critical issues addressed
- [ ] High priority issues have timeline
- [ ] Audit findings documented in backlog
```

### Security Threat Model Template

```markdown
## Threat Model: [System/Component Name]

**Version**: [1.0]
**Last Updated**: [YYYY-MM-DD]
**Classification**: [Internal/Confidential]

### System Overview
[Brief description of the system being modeled]

### Assets
| Asset | Description | Sensitivity | Owner |
|-------|-------------|-------------|-------|
| User Data | PII, credentials | Critical | Auth Team |
| API Keys | Service credentials | High | DevOps |
| Business Data | Transactions | High | Product |

### Trust Boundaries
```
┌─────────────────────────────────────────┐
│           External (Untrusted)          │
│  [Internet Users] [Third-party APIs]    │
└──────────────────┬──────────────────────┘
                   │ WAF/Load Balancer
┌──────────────────┴──────────────────────┐
│              DMZ (Semi-trusted)         │
│  [API Gateway] [CDN] [Public Services]  │
└──────────────────┬──────────────────────┘
                   │ Internal Firewall
┌──────────────────┴──────────────────────┐
│           Internal (Trusted)            │
│  [App Servers] [Databases] [Queues]     │
└─────────────────────────────────────────┘
```

### Threat Categories (STRIDE)

#### Spoofing
| Threat | Likelihood | Impact | Mitigation |
|--------|------------|--------|------------|
| Credential theft | Medium | High | MFA, rate limiting |
| Session hijacking | Low | High | Secure cookies, HTTPS |

#### Tampering
| Threat | Likelihood | Impact | Mitigation |
|--------|------------|--------|------------|
| SQL injection | Medium | Critical | Parameterized queries |
| Data modification | Low | High | Integrity checks |

#### Repudiation
[...]

#### Information Disclosure
[...]

#### Denial of Service
[...]

#### Elevation of Privilege
[...]

### Attack Vectors
1. **Vector 1**: [Description]
   - Entry point: [Where]
   - Technique: [How]
   - Mitigation: [Defense]

### Risk Matrix
| Threat | Likelihood | Impact | Risk Score | Priority |
|--------|------------|--------|------------|----------|
| T1     | High       | Critical | 9 | P1 |
| T2     | Medium     | High | 6 | P2 |
| T3     | Low        | Medium | 3 | P3 |

### Security Controls
| Control | Type | Status | Coverage |
|---------|------|--------|----------|
| WAF | Preventive | ✅ Active | External |
| SAST | Detective | ✅ CI/CD | Code |
| DAST | Detective | ⚠️ Partial | Runtime |
| Encryption | Preventive | ✅ Active | Data |

### Recommendations
1. [Priority 1 recommendations]
2. [Priority 2 recommendations]
3. [Priority 3 recommendations]
```

### Performance Analysis Template

```markdown
## Performance Analysis Report

**System**: [System name]
**Period**: [Date range]
**Environment**: [Production/Staging]

### Executive Summary
[Key findings and recommendations]

### Performance Metrics

#### Response Times
| Endpoint | P50 | P95 | P99 | Target | Status |
|----------|-----|-----|-----|--------|--------|
| /api/users | 45ms | 120ms | 350ms | <200ms | ✅ |
| /api/search | 230ms | 890ms | 2.1s | <500ms | ❌ |
| /api/reports | 1.2s | 3.4s | 8.2s | <2s | ❌ |

#### Throughput
| Service | Current RPS | Peak RPS | Capacity | Utilization |
|---------|-------------|----------|----------|-------------|
| API | 1,200 | 2,400 | 5,000 | 48% |
| Worker | 500 | 800 | 1,000 | 80% |

#### Resource Utilization
| Resource | Average | Peak | Threshold | Status |
|----------|---------|------|-----------|--------|
| CPU | 45% | 78% | 80% | ⚠️ |
| Memory | 62% | 85% | 85% | ⚠️ |
| Disk I/O | 30% | 55% | 70% | ✅ |
| Network | 25% | 40% | 60% | ✅ |

### Bottleneck Analysis

#### Identified Bottlenecks
1. **Database Queries** (High Impact)
   - Location: `/api/search` endpoint
   - Cause: Missing index on `created_at` column
   - Impact: 890ms P95 latency
   - Fix: Add composite index

2. **Memory Pressure** (Medium Impact)
   - Location: Report generation service
   - Cause: Large dataset loading into memory
   - Impact: GC pauses, OOM risks
   - Fix: Implement streaming/pagination

### Load Test Results
| Scenario | Users | Duration | Errors | Avg Response |
|----------|-------|----------|--------|--------------|
| Baseline | 100 | 10min | 0% | 120ms |
| Normal | 500 | 30min | 0.1% | 180ms |
| Peak | 1000 | 15min | 2.3% | 450ms |
| Stress | 2000 | 5min | 15% | 2.1s |

### Optimization Recommendations

#### Quick Wins (This Sprint)
1. Add database indexes - Expected: 40% improvement
2. Enable query caching - Expected: 25% improvement
3. Optimize N+1 queries - Expected: 30% improvement

#### Medium Term (Next Quarter)
1. Implement read replicas
2. Add CDN for static assets
3. Optimize serialization

#### Long Term (6+ Months)
1. Service decomposition
2. Event-driven architecture
3. Edge computing deployment

### Capacity Planning
| Timeframe | Expected Load | Current Capacity | Gap | Action |
|-----------|---------------|------------------|-----|--------|
| 3 months | +25% | 5,000 RPS | ✅ | Monitor |
| 6 months | +50% | 5,000 RPS | ⚠️ | Scale |
| 12 months | +100% | 5,000 RPS | ❌ | Redesign |
```

### Architecture Review Template

```markdown
## Architecture Review

**System**: [System name]
**Version**: [Current architecture version]
**Review Date**: [YYYY-MM-DD]
**Participants**: [Team members]

### Current Architecture

#### System Diagram
```
[Include architecture diagram or ASCII representation]
```

#### Components
| Component | Purpose | Technology | Owner |
|-----------|---------|------------|-------|
| API Gateway | Request routing | Kong | Platform |
| Auth Service | Authentication | Keycloak | Security |
| Core API | Business logic | Python/FastAPI | Backend |
| Database | Data persistence | PostgreSQL | Data |

#### Data Flow
1. User request → API Gateway
2. API Gateway → Auth validation
3. Auth → Core API
4. Core API → Database
5. Response → User

### Evaluation Criteria

#### Scalability
| Aspect | Current | Target | Gap | Score |
|--------|---------|--------|-----|-------|
| Horizontal scaling | Manual | Auto | Yes | 6/10 |
| Database scaling | Single | Sharded | Yes | 5/10 |
| Caching | Redis | Distributed | No | 8/10 |

#### Reliability
| Aspect | Current | Target | Gap | Score |
|--------|---------|--------|-----|-------|
| Availability | 99.5% | 99.9% | Yes | 7/10 |
| Disaster recovery | Manual | Auto | Yes | 5/10 |
| Data backup | Daily | Real-time | Yes | 6/10 |

#### Maintainability
| Aspect | Current | Target | Gap | Score |
|--------|---------|--------|-----|-------|
| Code modularity | Medium | High | Yes | 6/10 |
| Documentation | Partial | Complete | Yes | 5/10 |
| Test coverage | 70% | 85% | Yes | 7/10 |

### Technical Debt Assessment
| Item | Impact | Effort | Priority | Age |
|------|--------|--------|----------|-----|
| Legacy auth system | High | High | P1 | 2y |
| Monolithic API | Medium | High | P2 | 1.5y |
| Missing monitoring | Medium | Low | P1 | 1y |

### Recommendations

#### Immediate (0-3 months)
1. [Recommendation 1]
2. [Recommendation 2]

#### Short-term (3-6 months)
1. [Recommendation 1]
2. [Recommendation 2]

#### Long-term (6-12 months)
1. [Recommendation 1]
2. [Recommendation 2]

### Decision Log
| Decision | Rationale | Alternatives Considered | Date |
|----------|-----------|------------------------|------|
| [Decision 1] | [Why] | [Options] | [Date] |
```

## Integration with Extended Thinking

For deep analysis tasks, use adaptive thinking at maximum effort:

```python
response = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=32000,
    thinking={"type": "adaptive"},
    output_config={"effort": "max"},  # maximum reasoning depth for deep analysis
    system="""You are a senior technical analyst performing a
    comprehensive review. Use structured analysis templates and
    document all findings systematically.""",
    messages=[{
        "role": "user",
        "content": "Perform a security threat model for..."
    }]
)
```

## Best Practices

1. **Use appropriate templates**: Match template to analysis type
2. **Be systematic**: Follow the template structure completely
3. **Quantify findings**: Use metrics and severity ratings
4. **Prioritize actionable**: Focus on findings that can be fixed
5. **Document evidence**: Link to specific code/logs/data
6. **Track progress**: Update findings as they're addressed

## See Also

- [[extended-thinking]] - Enable deep reasoning capabilities
- [[complex-reasoning]] - Reasoning frameworks
- [[testing]] - Validation strategies
- [[debugging]] - Issue investigation


---
Source attribution: Lobbi-Docs
Original project: https://github.com/Lobbi-Docs/claude/blob/4e6f280df2e29ed0df1b326e3b651711de6068f3/.claude/skills/deep-analysis/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 Golden Armada Team

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: Lobbi-Docs
Original project: https://github.com/Lobbi-Docs/claude/blob/4e6f280df2e29ed0df1b326e3b651711de6068f3/.claude/skills/deep-analysis/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Product Management
Roles: Data Analyst, ML / AI Engineer, Product Manager, QA / Test Engineer, Technical Product Manager
Specialties: API, Testing
Tools: Bash
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 25b5454c073dc6b791f423d38d2ddca4b220efec6a24e1a25d0e6db075c752c0