---

name: quantum-research description: Comprehensive research combining web search, quantum analysis, and persistent memory. Use when researching topics that need current information plus deep cognitive analysis.

Quantum Research Skill

Perform comprehensive research by combining web search, quantum cognitive processing, and persistent memory storage.

When to Use

• Researching current technologies or trends
• Gathering best practices and documentation
• Investigating security vulnerabilities
• Exploring new frameworks or libraries
• Competitive analysis
• Technical due diligence

Research Pipeline

1. Memory Check

Always start by checking what you already know:

view_memory("/memories")
search_memories("[research topic]")

If relevant memories exist, build upon them. If not, proceed with fresh research.

2. Preflection Analysis

Determine research strategy:

analyze_query("[research topic]")

This reveals:

• Query complexity
• Information type needed (factual, analytical, exploratory)
• Recommended processing approach

3. Web Research Phase

Quick Research (3-5 sources):

web_search("[specific query]")

Comprehensive Research (5-10 sources):

quantum_web_research({
  topic: "[research topic]",
  depth: "comprehensive"
})

Deep Dive (fetch full content):

web_fetch("[specific URL]")

4. Quantum Processing

Process all gathered information through quantum OS:

quantum_process({
  query: "Synthesize research on [topic]",
  use_momentum: true,  // Iterative refinement
  use_wormholes: true, // Connect to past knowledge
  navigation_strategy: "guided" // Systematic exploration
})

5. Multi-Source Synthesis

Combine information across sources:

1. Identify Common Themes: What do sources agree on?
2. Spot Contradictions: Where do sources disagree?
3. Find Gaps: What's missing or unclear?
4. Assess Quality: Which sources are most authoritative?
5. Extract Insights: What non-obvious conclusions emerge?

6. Neuron Activation

Engage appropriate specialists:

For Technical Research:

• Strategist (analysis)
• Archivist (organization)
• Historian (validation)

For Competitive Analysis:

• Benchmarker (comparison)
• Appraiser (evaluation)

For Innovation Research:

• Muse (creativity)
• Simulator (modeling)

7. Quality Validation

Verify research quality:

ppq_introspect("Research summary")

Check for:

• Bias in sources
• Evidence strength
• Reasoning quality
• Gaps in coverage
• Provenance of claims

8. Memory Storage

Store research for future use:

store_quantum_insight({
  category: "learning",
  title: "[Topic] Research Summary",
  content: `
    ## Sources
    [List all sources with URLs]

    ## Key Findings
    [Major discoveries]

    ## Best Practices
    [Actionable recommendations]

    ## Open Questions
    [What remains unclear]
  `,
  metadata: {
    confidence: 0.90,
    neurons_used: ["Strategist", "Archivist"],
    vbc_phase: "commit",
    sources_count: 8
  }
})

Research Report Structure

1. Executive Summary

   • Topic overview
   • Key findings (3-5 bullet points)
   • Confidence level

2. Methodology

   • Sources searched
   • Quantum processing applied
   • Neurons engaged

3. Detailed Findings

   • Organized by themes
   • Cited sources
   • Confidence scores per finding

4. Analysis & Synthesis

   • Cross-source insights
   • Patterns identified
   • Implications

5. Recommendations

   • Actionable next steps
   • Priority ranking
   • Risk considerations

6. References

   • All sources with URLs
   • Citation metadata
   • Access dates

7. Quantum Insights

   • Preflection analysis
   • Neurons activated
   • Memory connections
   • PPQ scores
   • Stored memory references

Example Workflow

User: "Research the latest security best practices for Node.js"

1. search_memories("Node.js security")
   → Found 2 past insights from 3 months ago

2. analyze_query("Node.js security best practices")
   → Analytical query, medium complexity

3. quantum_web_research({
     topic: "Node.js security best practices 2025",
     depth: "comprehensive"
   })
   → Found 8 authoritative sources

4. web_fetch("https://nodejs.org/en/docs/guides/security/")
   → Retrieved official documentation

5. quantum_process({
     query: "Synthesize Node.js security research",
     use_momentum: true,
     use_wormholes: true
   })
   → Cross-referenced with past knowledge

6. activate_neurons(["Red Teamer", "Blue Teamer", "Auditor"])
   → Security perspective

7. ppq_introspect("Research findings")
   → Validation score: 0.88

8. store_quantum_insight({
     category: "learning",
     title: "Node.js Security Best Practices 2025",
     content: "..."
   })
   → Stored for future reference

Best Practices

• Always cite sources: Include URLs and access dates
• Check memory first: Build on past research
• Use quantum processing: Don't just summarize, synthesize
• Validate quality: Run PPQ introspection
• Store insights: Make research reusable
• Provide confidence scores: Be transparent about certainty
• Update memories: Refresh outdated information
• Cross-reference: Connect to related topics in memory

Advanced Techniques

Iterative Deep Dive

For complex topics:

1. Broad search → Initial synthesis
2. Identify key subtopics
3. Deep dive each subtopic
4. Cross-reference and integrate

Comparative Research

For technology comparisons:

1. Research each option independently
2. Identify comparison dimensions
3. Activate Benchmarker neuron
4. Create decision matrix

Trend Analysis

For emerging technologies:

1. Historical context (search memories)
2. Current state (web research)
3. Future projections (Muse + Simulator neurons)
4. Risk assessment (Red Teamer)

This skill transforms research from information gathering into knowledge creation.