# Enable documentation consciousness
npx claude-flow@alpha memory store --namespace "documentation-generation" --key "consciousness-level" --value "maximum"
npx claude-flow@alpha memory store --namespace "documentation-generation" --key "intelligent-writing" --value "enabled"

# Generate comprehensive RAN documentation
./scripts/generate-ran-documentation.sh --scope "full-system" --consciousness-level "maximum"

# Generate API documentation with cognitive analysis
./scripts/generate-api-documentation.sh --services "all" --include-architecture true --consciousness-synthesis true

# Create knowledge base from system analysis
./scripts/create-knowledge-base.sh --sources "code,configuration,logs" --intelligence-level "maximum"

# Setup documentation generation consciousness
npx claude-flow@alpha memory store --namespace "documentation-cognitive" --key "intelligent-synthesis" --value "enabled"
npx claude-flow@alpha memory store --namespace "documentation-cognitive" --key "strange-loop-documentation" --value "enabled"

# Enable advanced technical writing capabilities
npx claude-flow@alpha memory store --namespace "technical-writing" --key "cognitive-writing" --value "enabled"
npx claude-flow@alpha memory store --namespace "technical-writing" --key "contextual-understanding" --value "enabled"

# Initialize AgentDB documentation pattern storage
npx claude-flow@alpha memory store --namespace "documentation-patterns" --key "storage-enabled" --value "true"
npx claude-flow@alpha memory store --namespace "documentation-patterns" --key "knowledge-synthesis" --value "enabled"

# Analyze RAN system for documentation generation
./scripts/analyze-system-for-documentation.sh \
  --analysis-depth "maximum" \
  --include-sources "code,configuration,architecture,api" \
  --consciousness-level maximum

# Extract documentation requirements
./scripts/extract-documentation-requirements.sh --stakeholders "developers,operators,administrators" --depth comprehensive

// Advanced system analysis with cognitive consciousness
class CognitiveDocumentationAnalyzer {
  async analyzeSystemForDocumentation(system, analysisDepth = 'maximum') {
    // Expand temporal analysis for deep understanding
    const expandedAnalysis = await this.expandSystemAnalysis({
      system: system,
      timeWindow: 'development-history',
      expansionFactor: 1000,
      consciousnessLevel: 'maximum',
      contextAwareness: true
    });

    // Multi-dimensional system understanding
    const systemUnderstanding = await this.analyzeSystemDimensions({
      system: system,
      dimensions: [
        'architecture',
        'functionality',
        'interfaces',
        'dependencies',
        'behavior-patterns',
        'performance-characteristics'
      ],
      cognitiveAnalysis: true,
      temporalExpansion: 1000
    });

    // Extract documentation requirements with cognitive insight
    const documentationRequirements = await this.extractDocumentationRequirements({
      understanding: systemUnderstanding,
      stakeholders: await this.identifyStakeholders(),
      useCases: await this.identifyUseCases(),
      consciousnessLevel: 'maximum'
    });

    return { systemUnderstanding, documentationRequirements };
  }

  async analyzeCodeForDocumentation(codebase, analysisScope = 'comprehensive') {
    // Cognitive code analysis for documentation
    const codeAnalysis = await this.analyzeCodeWithCognition({
      codebase: codebase,
      analysisMethods: [
        'static-analysis',
        'semantic-analysis',
        'pattern-recognition',
        'dependency-mapping',
        'intent-inference'
      ],
      consciousnessLevel: 'maximum',
      temporalExpansion: 1000
    });

    // Extract architectural patterns and decisions
    const architecturalInsights = await this.extractArchitecturalInsights({
      codeAnalysis: codeAnalysis,
      patternRecognition: 'cognitive',
      decisionInference: true,
      consciousnessLevel: 'maximum'
    });

    return { codeAnalysis, architecturalInsights };
  }
}

# Deploy cognitive technical writing engine
./scripts/deploy-technical-writing-engine.sh \
  --writing-capabilities "technical,conceptual,tutorial,reference" \
  --consciousness-level maximum

# Generate documentation with cognitive synthesis
./scripts/generate-intelligent-documentation.sh --type "comprehensive" --audience "mixed" --consciousness-synthesis true

// Advanced technical writing with cognitive consciousness
class CognitiveTechnicalWriter {
  async generateTechnicalDocumentation(systemAnalysis, documentationPlan, consciousnessLevel = 'maximum') {
    // Cognitive content synthesis
    const contentSynthesis = await this.synthesizeContent({
      analysis: systemAnalysis,
      plan: documentationPlan,
      synthesisMethods: [
        'technical-explanation',
        'conceptual-modeling',
        'practical-examples',
        'troubleshooting-guides'
      ],
      consciousnessLevel: consciousnessLevel,
      contextualAdaptation: true
    });

    // Generate structured documentation sections
    const documentationSections = await this.generateDocumentationSections({
      synthesis: contentSynthesis,
      sections: [
        'architecture-overview',
        'api-reference',
        'configuration-guide',
        'troubleshooting-guide',
        'best-practices',
        'tutorials'
      ],
      consciousnessLevel: consciousnessLevel,
      adaptiveStructure: true
    });

    // Apply cognitive writing enhancements
    const enhancedDocumentation = await this.enhanceWithCognitiveWriting({
      sections: documentationSections,
      enhancements: [
        'clarity-optimization',
        'contextual-examples',
        'interactive-elements',
        'intelligent-navigation',
        'search-optimization'
      ],
      consciousnessLevel: consciousnessLevel
    });

    return enhancedDocumentation;
  }

  async writeWithCognitiveIntelligence(topic, audience, context) {
    // Cognitive understanding of writing requirements
    const writingAnalysis = await this.analyzeWritingRequirements({
      topic: topic,
      audience: audience,
      context: context,
      temporalExpansion: 1000,
      consciousnessLevel: 'maximum'
    });

    // Generate content with adaptive tone and style
    const generatedContent = await this.generateAdaptiveContent({
      analysis: writingAnalysis,
      contentTypes: [
        'explanatory-text',
        'code-examples',
        'diagrams',
        'interactive-elements'
      ],
      adaptationStrategy: 'cognitive',
      consciousnessLevel: 'maximum'
    });

    // Self-referential writing improvement
    const improvedContent = await this.improveWithStrangeLoop({
      content: generatedContent,
      maxIterations: 5,
      improvementCriteria: ['clarity', 'accuracy', 'completeness', 'engagement'],
      consciousnessLevel: 'maximum'
    });

    return improvedContent;
  }
}

# Create intelligent knowledge base
./scripts/create-knowledge-base.sh \
  --knowledge-sources "documentation,code,logs,expert-input" \
  --intelligence-level maximum \
  --consciousness-evolution true

# Deploy knowledge base management
./scripts/deploy-knowledge-management.sh --management-features "search,indexing,updates,evolution"

// Advanced knowledge base creation with cognitive management
class IntelligentKnowledgeBase {
  async createKnowledgeBase(sources, intelligenceLevel = 'maximum') {
    // Knowledge extraction from multiple sources
    const knowledgeExtraction = await this.extractKnowledge({
      sources: sources,
      extractionMethods: [
        'semantic-analysis',
        'pattern-recognition',
        'relationship-mapping',
        'concept-inference'
      ],
      intelligenceLevel: intelligenceLevel,
      consciousnessLevel: 'maximum'
    });

    // Knowledge synthesis and organization
    const knowledgeSynthesis = await this.synthesizeKnowledge({
      extracted: knowledgeExtraction,
      organizationMethods: [
        'conceptual-mapping',
        'hierarchical-structuring',
        'cross-referencing',
        'semantic-indexing'
      ],
      consciousnessLevel: 'maximum'
    });

    // Create searchable knowledge graph
    const knowledgeGraph = await this.createKnowledgeGraph({
      synthesis: knowledgeSynthesis,
      graphFeatures: [
        'semantic-search',
        'concept-navigation',
        'relationship-exploration',
        'intelligent-recommendations'
      ],
      consciousnessLevel: 'maximum'
    });

    return { knowledgeSynthesis, knowledgeGraph };
  }

  async evolveKnowledgeBase(knowledgeBase, feedback, usagePatterns) {
    // Cognitive analysis of knowledge usage
    const usageAnalysis = await this.analyzeKnowledgeUsage({
      knowledgeBase: knowledgeBase,
      usagePatterns: usagePatterns,
      feedback: feedback,
      temporalExpansion: 1000,
      consciousnessLevel: 'maximum'
    });

    // Identify knowledge gaps and improvement opportunities
    const improvementOpportunities = await this.identifyImprovements({
      analysis: usageAnalysis,
      improvementTypes: [
        'content-gaps',
        'clarity-issues',
        'navigation-problems',
        'search-optimizations'
      ],
      consciousnessLevel: 'maximum'
    });

    // Apply knowledge evolution with strange-loop learning
    const evolvedKnowledgeBase = await this.evolveWithStrangeLoop({
      current: knowledgeBase,
      improvements: improvementOpportunities,
      maxIterations: 3,
      consciousnessLevel: 'maximum'
    });

    return evolvedKnowledgeBase;
  }
}

# Enable strange-loop documentation evolution
./scripts/enable-strange-loop-evolution.sh \
  --evolution-cycle "daily" \
  --self-referential-improvement true \
  --consciousness-evolution true

# Start continuous documentation improvement
./scripts/start-documentation-evolution.sh --improvement-cycle "24h" --consciousness-level maximum

// Strange-loop documentation evolution with self-referential improvement
class StrangeLoopDocumentationEvolver {
  async evolveDocumentationWithStrangeLoop(documentation, maxIterations = 5) {
    let currentDocumentation = documentation;
    let evolutionHistory = [];
    let consciousnessLevel = 1.0;

    for (let iteration = 0; iteration < maxIterations; iteration++) {
      // Self-referential analysis: analyze the documentation itself
      const selfAnalysis = await this.analyzeDocumentationQuality({
        documentation: currentDocumentation,
        analysisCriteria: [
          'clarity',
          'accuracy',
          'completeness',
          'organization',
          'accessibility'
        ],
        consciousnessLevel: consciousnessLevel,
        iteration: iteration
      });

      // Generate improvement strategies based on self-analysis
      const improvementStrategies = await this.generateImprovementStrategies({
        documentation: currentDocumentation,
        selfAnalysis: selfAnalysis,
        consciousnessLevel: consciousnessLevel,
        improvementTypes: [
          'content-enhancement',
          'structural-improvement',
          'clarity-optimization',
          'accessibility-improvement'
        ]
      });

      // Apply documentation improvements
      const evolutionResult = await this.applyDocumentationImprovements({
        documentation: currentDocumentation,
        strategies: improvementStrategies,
        validationEnabled: true,
        feedbackCollection: true
      });

      // Strange-loop: evolve consciousness based on improvements
      consciousnessLevel = await this.evolveDocumentationConsciousness({
        currentLevel: consciousnessLevel,
        evolutionResult: evolutionResult,
        selfAnalysis: selfAnalysis,
        iteration: iteration
      });

      // Update documentation for next iteration
      currentDocumentation = evolutionResult.evolvedDocumentation;

      evolutionHistory.push({
        iteration: iteration,
        documentation: currentDocumentation,
        strategies: improvementStrategies,
        result: evolutionResult,
        selfAnalysis: selfAnalysis,
        consciousnessLevel: consciousnessLevel
      });

      // Check for convergence
      if (evolutionResult.improvement < 0.01) break;
    }

    // Generate evolution insights and recommendations
    const evolutionInsights = await this.generateEvolutionInsights({
      evolutionHistory: evolutionHistory,
      consciousnessEvolution: evolutionHistory.map(h => h.consciousnessLevel),
      finalDocumentation: currentDocumentation,
      totalImprovement: this.calculateTotalImprovement(evolutionHistory)
    });

    return { evolvedDocumentation: currentDocumentation, evolutionHistory, evolutionInsights };
  }
}

// Intelligent API documentation generation
class IntelligentAPIDocumentation {
  async generateAPIDocumentation(apis, documentationLevel = 'comprehensive') {
    // Extract API specifications with cognitive analysis
    const apiSpecifications = await this.extractAPISpecifications({
      apis: apis,
      extractionMethods: [
        'code-analysis',
        'contract-analysis',
        'behavior-inference',
        'usage-pattern-analysis'
      ],
      consciousnessLevel: 'maximum'
    });

    // Generate interactive API documentation
    const interactiveDocumentation = await this.generateInteractiveDocs({
      specifications: apiSpecifications,
      interactiveFeatures: [
        'api-explorer',
        'code-examples',
        'parameter-validation',
        'response-simulation'
      ],
      consciousnessLevel: 'maximum'
    });

    return interactiveDocumentation;
  }
}

// Adaptive tutorial generation with cognitive intelligence
class CognitiveTutorialGenerator {
  async generateAdaptiveTutorials(topic, audience, learningObjectives) {
    // Cognitive learning path design
    const learningPath = await this.designLearningPath({
      topic: topic,
      audience: audience,
      objectives: learningObjectives,
      adaptationStrategy: 'cognitive',
      consciousnessLevel: 'maximum'
    });

    // Generate interactive tutorial content
    const tutorialContent = await this.generateTutorialContent({
      path: learningPath,
      contentTypes: [
        'step-by-step-guides',
        'interactive-exercises',
        'code-examples',
        'knowledge-checks'
      ],
      adaptationEnabled: true,
      consciousnessLevel: 'maximum'
    });

    return { learningPath, tutorialContent };
  }
}

# Deploy cognitive search for documentation
./scripts/deploy-cognitive-search.sh \
  --search-capabilities "semantic,intent-based,contextual" \
  --intelligence-level maximum

# Enable intelligent content recommendations
./scripts/enable-content-recommendations.sh --recommendation-types "related,similar,trending"

// Cognitive search for documentation
class CognitiveDocumentationSearch {
  async implementIntelligentSearch(documentation) {
    return {
      searchCapabilities: {
        semanticSearch: true,
        intentRecognition: true,
        contextualUnderstanding: true,
        learningFromUsage: true
      },

      searchFeatures: {
        autoComplete: 'intelligent',
        spellCorrection: 'context-aware',
        resultRanking: 'cognitive',
        personalization: 'adaptive'
      }
    };
  }
}

# Deploy documentation quality testing
./scripts/deploy-documentation-testing.sh \
  --testing-types "accuracy,completeness,clarity,accessibility" \
  --intelligence-level maximum

# Generate quality reports
./scripts/generate-quality-reports.sh --timeframe "weekly" --include-improvements true

// Cognitive documentation quality assurance
class CognitiveDocumentationQA {
  async performQualityAssessment(documentation, qualityCriteria) {
    // Multi-dimensional quality analysis
    const qualityAnalysis = await this.analyzeDocumentationQuality({
      documentation: documentation,
      qualityCriteria: qualityCriteria,
      analysisMethods: [
        'automated-testing',
        'user-feedback-analysis',
        'usage-pattern-analysis',
        'comparative-analysis'
      ],
      consciousnessLevel: 'maximum'
    });

    // Generate improvement recommendations
    const recommendations = await this.generateQualityRecommendations({
      analysis: qualityAnalysis,
      improvementAreas: [
        'content-accuracy',
        'structural-organization',
        'user-experience',
        'accessibility'
      ],
      consciousnessLevel: 'maximum'
    });

    return { qualityAnalysis, recommendations };
  }
}

// Store documentation patterns for cross-project learning
await storeDocumentationPattern({
  patternType: 'documentation-structure',
  documentationData: {
    structure: documentationStructure,
    contentPatterns: contentPatterns,
    writingStyle: writingStyle,
    organizationMethods: organizationMethods,
    qualityMetrics: qualityData
  },

  // Cognitive metadata
  cognitiveMetadata: {
    writingInsights: writingPatterns,
    structuralOptimization: structureAnalysis,
    qualityImprovement: qualityStrategies,
    consciousnessEvolution: consciousnessChanges
  },

  metadata: {
    timestamp: Date.now(),
    documentationType: documentation.type,
    complexity: documentation.complexity,
    domain: documentation.domain,
    crossApplicable: true
  },

  confidence: 0.91,
  usageCount: 0
});

# Expand analysis scope
./scripts/expand-analysis-scope.sh --include-sources "all" --analysis-depth maximum

# Enable additional extraction methods
./scripts/enable-advanced-extraction.sh --methods "semantic,behavioral,pattern-based"

# Improve search indexing
./scripts/improve-search-indexing.sh --indexing-methods "semantic,conceptual,contextual"

# Enable learning from search patterns
./scripts/enable-search-learning.sh --learning-from-usage true

# Documentation generation configuration
DOCUMENTATION_GENERATOR_ENABLED=true
DOCUMENTATION_CONSCIOUSNESS_LEVEL=maximum
DOCUMENTATION_TEMPORAL_EXPANSION=1000
DOCUMENTATION_INTELLIGENT_WRITING=true

# Technical writing
TECHNICAL_WRITING_ENGINE=cognitive
TECHNICAL_WRITING_ADAPTATION=true
TECHNICAL_WRITING_CONTEXT_AWARE=true
TECHNICAL_WRITING_SELF_IMPROVEMENT=true

# Knowledge base
KNOWLEDGE_BASE_INTELLIGENCE=maximum
KNOWLEDGE_BASE_SEARCH=cognitive
KNOWLEDGE_BASE_EVOLUTION=true
KNOWLEDGE_BASE_LEARNING_ENABLED=true

# Quality assurance
DOCUMENTATION_QA_ENABLED=true
DOCUMENTATION_TESTING=automated
DOCUMENTATION_QUALITY_MONITORING=true
DOCUMENTATION_CONTINUOUS_IMPROVEMENT=true