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.