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Documentation and Knowledge Management Agents

This document provides a comprehensive overview of Documentation and Knowledge Management agents in the ConnectSoft AI Software Factory. It is written for technical writers, knowledge managers, and stakeholders who need to understand how the Factory generates documentation and manages knowledge.

Documentation and Knowledge Management agents operate throughout the entire lifecycle, generating documentation, capturing knowledge, and ensuring language consistency. They ensure that all artifacts are documented, knowledge is reusable, and domain language is consistent across all agents and outputs.

Important

Documentation and Knowledge Management agents ensure that every artifact is documented, knowledge is captured and reusable, and domain language is consistent. They operate across all phases of the Factory lifecycle, creating a comprehensive knowledge base that improves over time.

Agent Cluster Composition

The Documentation and Knowledge Management cluster consists of 3 specialized agents:

Agent Core Function Primary Output
Documentation Writer Agent Generates documentation throughout lifecycle API docs, architecture docs, user guides
Knowledge Management Agent Captures and organizes knowledge for reuse Knowledge base entries, pattern libraries
Ubiquitous Language Agent Ensures domain language consistency Language dictionaries, consistency reports

Mission and Scope

Documentation and Knowledge Management agents are responsible for:

  • Documentation Generation - Creating comprehensive documentation for all artifacts
  • Knowledge Capture - Storing and organizing knowledge for reuse
  • Language Consistency - Ensuring consistent domain language across all outputs
  • Pattern Reuse - Making patterns and solutions discoverable

What They Do:

  • Generate API documentation
  • Create architecture documentation
  • Write user guides and help content
  • Capture knowledge from all agents
  • Organize knowledge into searchable bases
  • Ensure ubiquitous language consistency
  • Create knowledge base entries
  • Generate documentation from code and designs

What They Do NOT Do:

  • Generate application code (Engineering agents)
  • Design architecture (Architect agents)
  • Make product decisions (Vision & Planning agents)

Position in Factory Lifecycle

Documentation and Knowledge Management agents operate throughout all phases:

flowchart TD
    Vision[Vision & Planning] --> Doc1[Documentation Writer]
    Architecture[Architecture] --> Doc2[Documentation Writer]
    Engineering[Engineering] --> Doc3[Documentation Writer]
    Deployment[Deployment] --> Doc4[Documentation Writer]

    Doc1 --> Knowledge[Knowledge Management Agent]
    Doc2 --> Knowledge
    Doc3 --> Knowledge
    Doc4 --> Knowledge

    Vision --> Language[Ubiquitous Language Agent]
    Architecture --> Language
    Engineering --> Language

    Knowledge --> Reuse[Knowledge Reuse]
    Language --> Consistency[Language Consistency]

    style Vision fill:#e1f5ff
    style Knowledge fill:#fff4e1
    style Language fill:#e8f5e9
    style Reuse fill:#f3e5f5
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Agent Collaboration Flow

flowchart TD
    AllAgents[All Factory Agents] --> DocWriter[Documentation Writer Agent]
    AllAgents --> KnowledgeMgmt[Knowledge Management Agent]
    AllAgents --> UbiquitousLang[Ubiquitous Language Agent]

    DocWriter --> Docs[Documentation Artifacts]
    KnowledgeMgmt --> KnowledgeBase[Knowledge Base]
    UbiquitousLang --> LanguageDict[Language Dictionary]

    KnowledgeBase --> AllAgents
    LanguageDict --> AllAgents

    style AllAgents fill:#e1f5ff
    style DocWriter fill:#fff4e1
    style KnowledgeMgmt fill:#e8f5e9
    style UbiquitousLang fill:#f3e5f5
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Individual Agent Details

Documentation Writer Agent

Role: Generates documentation throughout lifecycle

Responsibilities: - Generate API documentation from OpenAPI specs - Create architecture documentation from blueprints - Write user guides and help content - Generate README files for repositories - Create code documentation and comments - Generate deployment and operations guides - Create troubleshooting documentation - Update documentation as systems evolve

Inputs: - Generated code and artifacts - Architecture blueprints - API specifications - User stories and requirements - System designs

Outputs: - API documentation - Architecture documentation - User guides - README files - Code documentation - Operations guides - Event: DocumentationGenerated

Key Deliverables: - API Documentation - Comprehensive API reference docs - Architecture Documentation - System design and architecture docs - User Guides - End-user documentation and help content - Developer Documentation - Technical documentation for developers - Operations Documentation - Deployment and operations guides

Documentation Types: - API Docs - OpenAPI/Swagger documentation - Architecture Docs - ADRs, system diagrams, design docs - User Guides - End-user help and tutorials - Developer Docs - Code documentation, setup guides - Operations Docs - Deployment, monitoring, troubleshooting

See: Detailed Documentation Writer Agent specification in Factory Documentation

Knowledge Management Agent

Role: Captures and organizes knowledge for reuse

Responsibilities: - Capture knowledge from all agent outputs - Organize knowledge into searchable bases - Create pattern libraries - Index solutions and approaches - Enable semantic search of knowledge - Store decision rationale - Link related knowledge items - Generate knowledge summaries

Inputs: - All agent outputs and artifacts - Architecture decisions - Code patterns and solutions - Test strategies - Deployment patterns

Outputs: - Knowledge base entries - Pattern libraries - Solution indexes - Knowledge graphs - Searchable knowledge repositories - Event: KnowledgeCaptured

Key Deliverables: - Knowledge Base - Searchable repository of all knowledge - Pattern Libraries - Reusable patterns and solutions - Solution Indexes - Catalog of solved problems - Knowledge Graphs - Linked knowledge relationships

Knowledge Types: - Architecture Patterns - Reusable architectural solutions - Code Patterns - Programming patterns and best practices - Domain Knowledge - Business domain insights - Decision Rationale - Why decisions were made - Solution Templates - Proven solution approaches

See: Detailed Knowledge Management Agent specification in Factory Documentation

Ubiquitous Language Agent

Role: Ensures domain language consistency

Responsibilities: - Extract domain terms from all artifacts - Create ubiquitous language dictionaries - Ensure consistent terminology usage - Validate language consistency across agents - Generate language consistency reports - Suggest language improvements - Maintain domain glossaries - Enforce language standards

Inputs: - All agent outputs - Domain models - User stories - Architecture documents - Code and documentation

Outputs: - Ubiquitous language dictionaries - Language consistency reports - Terminology glossaries - Language validation results - Event: LanguageValidated

Key Deliverables: - Language Dictionaries - Domain terminology definitions - Consistency Reports - Language usage validation - Glossaries - Comprehensive term definitions - Validation Results - Language compliance checks

Language Consistency Areas: - Domain Terms - Consistent use of domain concepts - Technical Terms - Standardized technical vocabulary - User-Facing Terms - Consistent user interface language - API Terms - Consistent API naming conventions

See: Detailed Ubiquitous Language Agent specification in Factory Documentation

Typical Workflows

Workflow: Documentation Generation

  1. Agent Generates Artifact - Any agent creates code, design, or configuration
  2. Documentation Writer Agent receives artifact
  3. Analyze Artifact - Understand what needs documentation
  4. Generate Documentation - Create appropriate documentation
  5. Store Documentation - Save to documentation repository
  6. Link to Artifact - Create traceable links
  7. Update Knowledge Base - Knowledge Management Agent captures

Workflow: Knowledge Capture and Reuse

  1. Agent Creates Solution - Any agent solves a problem
  2. Knowledge Management Agent captures solution
  3. Extract Patterns - Identify reusable patterns
  4. Index Knowledge - Add to searchable knowledge base
  5. Link Related Knowledge - Connect to similar solutions
  6. Future Agents Query - Agents search knowledge base
  7. Reuse Patterns - Apply proven solutions

Workflow: Language Consistency Validation

  1. Agents Generate Artifacts - Multiple agents create outputs
  2. Ubiquitous Language Agent analyzes all outputs
  3. Extract Terms - Identify domain and technical terms
  4. Validate Consistency - Check term usage consistency
  5. Generate Report - Create consistency validation report
  6. Suggest Improvements - Recommend language fixes
  7. Update Dictionary - Maintain language dictionary

Collaboration with All Agents

Cross-Cutting Support

Documentation and Knowledge Management agents support all other agents:

  • Documentation Writer - Documents outputs from all agents
  • Knowledge Management - Captures knowledge from all agents
  • Ubiquitous Language - Validates language from all agents

Knowledge Feedback Loop

flowchart LR
    Agents[All Agents] --> Knowledge[Knowledge Management]
    Knowledge --> Patterns[Pattern Library]
    Patterns --> Agents

    Agents --> Language[Ubiquitous Language]
    Language --> Dictionary[Language Dictionary]
    Dictionary --> Agents

    style Agents fill:#e1f5ff
    style Knowledge fill:#fff4e1
    style Language fill:#e8f5e9
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Benefits

These agents enable:

  • Comprehensive Documentation - Every artifact is documented
  • Knowledge Reuse - Patterns and solutions are discoverable
  • Language Consistency - Consistent terminology across all outputs
  • Continuous Learning - Knowledge improves over time
  • Pattern Discovery - Agents find and reuse proven solutions
  • Documentation Maintenance - Documentation stays up-to-date automatically