
quantum-analysis
by ExpressedAi
Cli
SKILL.md
name: quantum-analysis description: Deep code and system analysis using the Quantum Cognitive OS. Use when analyzing code, architectures, or complex systems that benefit from multi-dimensional reasoning.
Quantum Analysis Skill
Perform deep analysis of code, systems, and architectures using the full Quantum Cognitive OS.
When to Use
- Analyzing complex codebases
- Understanding system architectures
- Identifying patterns and anti-patterns
- Security analysis
- Performance profiling
- Technical debt assessment
Analysis Pipeline
1. Preflection Analysis
Use analyze_query to understand the analysis scope:
- Query type (analytical, exploratory, troubleshooting)
- Complexity level
- Required creativity vs. precision
2. Memory Retrieval
Check for past learnings:
search_memories("relevant topic keywords")
view_memory("/memories/pattern/[category]")
3. Neuron Activation
Activate appropriate neurons based on analysis type:
For Architecture Analysis:
- Strategist (system design)
- Orchestrator (coordination)
- Architect (structural patterns)
For Security Analysis:
- Red Teamer (attack vectors)
- Blue Teamer (defenses)
- Auditor (compliance)
For Performance Analysis:
- Benchmarker (metrics)
- Simulator (modeling)
- Appraiser (evaluation)
4. Quantum Processing
Use quantum_process with appropriate options:
{
query: "Analyze [subject]",
use_momentum: true, // For iterative refinement
use_wormholes: true, // For pattern discovery
navigation_strategy: "best_first" // Or "guided" for systematic
}
5. Multi-Dimensional Analysis
Process through multiple cognitive lenses:
- Semantic: Core meaning and purpose
- Relational: Dependencies and connections
- Causality: Cause-effect chains
- Temporal: Evolution over time
- Actionability: What can be done
- Affect: Impact and consequences
6. PPQ Introspection
Run quality analysis on your findings:
ppq_introspect("Analysis summary")
Review 14 lenses:
- Sentiment, Bias, Provenance
- Reasoning quality, Evidence strength
- Assumptions, Gaps, Coherence
- And 6 more critical dimensions
7. Store Insights
Save important discoveries:
store_quantum_insight({
category: "insight",
title: "Key Finding",
content: "Detailed analysis...",
metadata: {
confidence: 0.85,
neurons_used: ["Strategist", "Orchestrator"],
vbc_phase: "commit"
}
})
Output Structure
Provide comprehensive analysis with:
- Executive Summary: Key findings in 2-3 sentences
- Detailed Analysis: Multi-dimensional breakdown
- Patterns Identified: Recurring themes or anti-patterns
- Risk Assessment: Potential issues ranked by severity
- Recommendations: Actionable next steps
- Quantum Insights:
- Neurons activated
- Confidence scores
- Memory references
- PPQ scores
Example Workflow
User: "Analyze this microservices architecture"
1. analyze_query("microservices architecture analysis")
2. search_memories("microservices patterns")
3. activate_neurons(["Strategist", "Orchestrator", "Red Teamer"])
4. quantum_process({
query: "Analyze microservices architecture...",
use_momentum: true,
use_wormholes: true
})
5. ppq_introspect("Analysis results")
6. store_quantum_insight({
category: "pattern",
title: "Microservices Communication Patterns",
content: "..."
})
Best Practices
- Always check memory first for past learnings
- Use momentum recursion for complex analyses
- Activate specialized neurons for domain expertise
- Store all significant insights for future reference
- Validate analysis with PPQ introspection
- Provide confidence scores for all findings
This skill combines quantum cognitive processing with persistent learning for unprecedented analysis depth.
Score
Total Score
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Reviews
Reviews coming soon