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06 content generation pipelines

Documentation for 06_content_generation_pipelines from the Pipeline ex repository.

Content Generation Pipelines Specification

Overview

Content generation pipelines automate the creation of high-quality technical content including documentation, tutorials, blog posts, and changelogs. These pipelines leverage AI capabilities to produce consistent, accurate, and engaging content while maintaining brand voice and technical precision.

Pipeline Categories

1. Blog Generation Pipeline

Purpose

Generate engaging technical blog posts from various sources including code changes, documentation updates, or topic outlines while maintaining consistent voice and SEO optimization.

Configuration Structure

name: blog_generation_pipeline
version: "2.0"
type: content_generation
description: "AI-powered technical blog post generation with SEO optimization"

metadata:
  category: content
  sub_category: blog
  content_types: ["technical", "tutorial", "announcement", "deep-dive"]
  seo_enabled: true

inputs:
  topic:
    type: string
    required: true
    description: "Blog post topic or title"
    validation:
      min_length: 10
      max_length: 200
  
  content_type:
    type: string
    enum: ["technical", "tutorial", "announcement", "deep-dive", "comparison"]
    default: "technical"
    description: "Type of blog post to generate"
  
  source_material:
    type: object
    properties:
      code_changes:
        type: array
        items:
          type: string
        description: "Paths to relevant code changes"
      documentation:
        type: array
        items:
          type: string
        description: "Documentation files to reference"
      research_links:
        type: array
        items:
          type: string
        description: "External research sources"
  
  target_audience:
    type: string
    enum: ["beginner", "intermediate", "advanced", "mixed"]
    default: "intermediate"
  
  brand_voice:
    type: object
    properties:
      tone:
        type: string
        enum: ["professional", "conversational", "educational", "inspiring"]
        default: "professional"
      personality_traits:
        type: array
        items:
          type: string
        default: ["knowledgeable", "helpful", "clear"]

steps:
  - name: research_topic
    type: research_aggregator
    inputs:
      topic: "{{ topic }}"
      sources: "{{ source_material }}"
    config:
      research_depth: "comprehensive"
      include_code_analysis: true
      extract_key_concepts: true
      identify_related_topics: true
    outputs:
      - research_summary
      - key_concepts
      - code_examples
      - related_topics

  - name: analyze_audience_needs
    type: audience_analyzer
    inputs:
      topic: "{{ topic }}"
      audience: "{{ target_audience }}"
      content_type: "{{ content_type }}"
    config:
      consider_factors:
        - technical_level
        - prior_knowledge
        - learning_objectives
        - pain_points
    outputs:
      - audience_profile
      - content_requirements

  - name: generate_outline
    type: llm_outliner
    inputs:
      topic: "{{ topic }}"
      research: "{{ research_summary }}"
      audience: "{{ audience_profile }}"
      content_type: "{{ content_type }}"
    prompt: |
      Create a detailed blog post outline for:
      Topic: {{ topic }}
      Type: {{ content_type }}
      Audience: {{ target_audience }} level
      
      Research summary:
      {{ research_summary }}
      
      Key concepts to cover:
      {{ key_concepts | to_yaml }}
      
      Generate an outline with:
      1. Compelling introduction hook
      2. Logical flow of main sections (3-5)
      3. Code examples placement
      4. Visual/diagram opportunities
      5. Actionable takeaways
      6. Strong conclusion with CTA
      
      Ensure the outline matches {{ content_type }} style.
    outputs:
      - blog_outline
      - section_purposes

  - name: generate_content_sections
    type: parallel_content_generator
    inputs:
      outline: "{{ blog_outline }}"
      research: "{{ research_summary }}"
      code_examples: "{{ code_examples }}"
      voice: "{{ brand_voice }}"
    config:
      parallel_sections: true
      maintain_consistency: true
      section_prompts:
        introduction: |
          Write an engaging introduction for this section:
          {{ section }}
          
          Hook the reader and clearly state the value proposition.
          Tone: {{ brand_voice.tone }}
          
        technical_section: |
          Write the technical content for:
          {{ section }}
          
          Include:
          - Clear explanations
          - Relevant code examples
          - Best practices
          - Common pitfalls
          
          Maintain {{ target_audience }} level complexity.
          
        conclusion: |
          Write a strong conclusion that:
          - Summarizes key points
          - Provides actionable next steps
          - Includes a call-to-action
          - Leaves lasting impression
    outputs:
      - content_sections
      - code_snippets

  - name: optimize_code_examples
    type: code_optimizer
    inputs:
      snippets: "{{ code_snippets }}"
      language_context: "{{ research.primary_language }}"
    config:
      ensure_runnable: true
      add_comments: true
      follow_conventions: true
      include_imports: true
    outputs:
      - optimized_code
      - execution_notes

  - name: seo_optimization
    type: seo_enhancer
    when: "{{ metadata.seo_enabled }}"
    inputs:
      content: "{{ content_sections }}"
      topic: "{{ topic }}"
      keywords: "{{ key_concepts }}"
    config:
      optimization_targets:
        - title_tag
        - meta_description
        - headers_hierarchy
        - keyword_density
        - internal_linking
        - image_alt_text
      readability_score: "60-70"
    outputs:
      - seo_content
      - seo_metadata
      - readability_metrics

  - name: generate_visuals_prompts
    type: visual_prompt_generator
    inputs:
      outline: "{{ blog_outline }}"
      content: "{{ content_sections }}"
    config:
      visual_types:
        - architecture_diagrams
        - flow_charts
        - code_comparisons
        - infographics
      style_guide: "technical-modern"
    outputs:
      - visual_prompts
      - diagram_specifications

  - name: assemble_final_post
    type: content_assembler
    inputs:
      sections: "{{ seo_content | default(content_sections) }}"
      code: "{{ optimized_code }}"
      visuals: "{{ visual_prompts }}"
      metadata: "{{ seo_metadata | default({}) }}"
    config:
      format: "markdown"
      include_frontmatter: true
      add_table_of_contents: true
      code_syntax_highlighting: true
    outputs:
      - final_blog_post
      - publishing_metadata

  - name: quality_review
    type: llm_reviewer
    inputs:
      content: "{{ final_blog_post }}"
      requirements: "{{ content_requirements }}"
      voice: "{{ brand_voice }}"
    prompt: |
      Review this blog post for:
      
      1. Technical accuracy
      2. Audience appropriateness ({{ target_audience }})
      3. Brand voice consistency ({{ brand_voice.tone }})
      4. Engagement and readability
      5. Completeness and value delivery
      
      Content:
      {{ content }}
      
      Provide:
      - Quality score (0-100)
      - Specific improvements needed
      - Fact-checking concerns
      - Final approval status
    outputs:
      - quality_score
      - improvement_suggestions
      - approval_status

outputs:
  blog_post:
    type: markdown_document
    includes:
      - final_content
      - metadata
      - seo_tags
      - visual_prompts
  
  publishing_package:
    type: structured_output
    includes:
      - blog_post
      - social_media_snippets
      - email_summary
      - visual_assets_list
  
  metrics:
    type: content_metrics
    includes:
      - word_count
      - readability_score
      - seo_score
      - estimated_read_time

2. Tutorial Generation Pipeline

Purpose

Create comprehensive, step-by-step tutorials that guide users through technical concepts or implementation processes with clear examples and progressive learning paths.

Configuration Structure

name: tutorial_generation_pipeline
version: "2.0"
type: content_generation
description: "Interactive tutorial creation with code examples and exercises"

metadata:
  category: content
  sub_category: tutorial
  learning_formats: ["step-by-step", "workshop", "video-script", "interactive"]

inputs:
  tutorial_topic:
    type: string
    required: true
    description: "What the tutorial will teach"
  
  learning_objectives:
    type: array
    required: true
    items:
      type: string
    description: "Specific skills/knowledge users will gain"
  
  difficulty_level:
    type: string
    enum: ["beginner", "intermediate", "advanced"]
    required: true
  
  tutorial_format:
    type: string
    enum: ["step-by-step", "workshop", "video-script", "interactive"]
    default: "step-by-step"
  
  prerequisites:
    type: array
    items:
      type: string
    description: "Required knowledge/skills"
  
  technology_stack:
    type: array
    items:
      type: object
      properties:
        name: string
        version: string
        role: string

steps:
  - name: design_learning_path
    type: curriculum_designer
    inputs:
      objectives: "{{ learning_objectives }}"
      difficulty: "{{ difficulty_level }}"
      prerequisites: "{{ prerequisites }}"
    config:
      pedagogy_approach: "progressive_disclosure"
      include_checkpoints: true
      scaffold_complexity: true
    outputs:
      - learning_path
      - milestone_checkpoints
      - complexity_progression

  - name: create_project_scaffold
    type: project_generator
    inputs:
      topic: "{{ tutorial_topic }}"
      stack: "{{ technology_stack }}"
      format: "{{ tutorial_format }}"
    config:
      include_starter_code: true
      create_branches: true  # for different stages
      setup_testing: true
      include_solutions: true
    outputs:
      - project_structure
      - starter_files
      - solution_files
      - test_suites

  - name: generate_tutorial_steps
    type: step_generator
    inputs:
      learning_path: "{{ learning_path }}"
      project: "{{ project_structure }}"
      objectives: "{{ learning_objectives }}"
    config:
      step_template: |
        ## Step {{ step_number }}: {{ step_title }}
        
        ### What You'll Learn
        {{ learning_outcomes }}
        
        ### Background
        {{ conceptual_explanation }}
        
        ### Implementation
        {{ implementation_guide }}
        
        ### Code Example
        ```{{ language }}
        {{ code_example }}
        ```
        
        ### Try It Yourself
        {{ exercise }}
        
        ### Common Issues
        {{ troubleshooting }}
        
        ### Check Your Understanding
        {{ comprehension_questions }}
      
      include_for_each_step:
        - clear_objective
        - conceptual_intro
        - hands_on_code
        - practice_exercise
        - self_check
    outputs:
      - tutorial_steps
      - exercise_definitions
      - checkpoint_tests

  - name: create_code_examples
    type: example_generator
    inputs:
      steps: "{{ tutorial_steps }}"
      stack: "{{ technology_stack }}"
      difficulty: "{{ difficulty_level }}"
    config:
      example_principles:
        - runnable
        - well_commented
        - idiomatic
        - progressive_complexity
      include_variants:
        - basic_implementation
        - error_handling
        - optimized_version
    outputs:
      - code_examples
      - example_variations
      - anti_patterns

  - name: design_exercises
    type: exercise_creator
    inputs:
      learning_objectives: "{{ learning_objectives }}"
      code_examples: "{{ code_examples }}"
      difficulty: "{{ difficulty_level }}"
    config:
      exercise_types:
        - code_completion
        - bug_fixing
        - feature_addition
        - refactoring
        - design_challenge
      difficulty_progression: true
      include_hints: true
      solution_walkthroughs: true
    outputs:
      - exercises
      - hints_system
      - solutions_guide

  - name: create_visual_aids
    type: tutorial_visual_generator
    inputs:
      steps: "{{ tutorial_steps }}"
      concepts: "{{ learning_path.key_concepts }}"
    config:
      visual_types:
        - concept_diagrams
        - architecture_flows
        - state_transitions
        - code_execution_traces
        - decision_trees
      style: "educational-clean"
      include_annotations: true
    outputs:
      - visual_aids
      - diagram_descriptions

  - name: generate_supporting_content
    type: support_content_creator
    inputs:
      tutorial: "{{ tutorial_steps }}"
      exercises: "{{ exercises }}"
    config:
      create:
        - quick_reference_card
        - troubleshooting_guide
        - further_reading_list
        - project_ideas
        - skill_assessment
    outputs:
      - reference_materials
      - troubleshooting_faq
      - next_steps_guide

  - name: format_for_platform
    type: platform_formatter
    inputs:
      content: "{{ tutorial_steps }}"
      exercises: "{{ exercises }}"
      visuals: "{{ visual_aids }}"
      format: "{{ tutorial_format }}"
    config:
      platforms:
        step-by-step:
          - markdown_with_frontmatter
          - syntax_highlighting
          - copy_buttons
          - progress_tracking
        workshop:
          - presenter_notes
          - timing_guides
          - participant_handouts
        video-script:
          - scene_descriptions
          - voiceover_script
          - screen_recordings
        interactive:
          - jupyter_notebooks
          - codesandbox_embeds
          - live_coding_env
    outputs:
      - formatted_tutorial
      - platform_assets

  - name: validate_tutorial
    type: tutorial_validator
    inputs:
      tutorial: "{{ formatted_tutorial }}"
      code: "{{ code_examples }}"
      exercises: "{{ exercises }}"
    config:
      validation_checks:
        - code_execution
        - link_validity
        - prerequisite_coverage
        - objective_alignment
        - difficulty_consistency
        - time_estimates
    outputs:
      - validation_report
      - estimated_duration
      - difficulty_metrics

outputs:
  tutorial_package:
    type: comprehensive_tutorial
    includes:
      - formatted_content
      - code_repository
      - exercise_bank
      - visual_assets
      - supporting_materials
  
  instructor_resources:
    type: teaching_package
    when: "{{ tutorial_format == 'workshop' }}"
    includes:
      - presenter_guide
      - timing_schedule
      - discussion_prompts
      - assessment_rubrics
  
  learner_metrics:
    type: learning_analytics
    includes:
      - estimated_time
      - skill_coverage
      - difficulty_curve
      - checkpoint_locations

3. API Documentation Pipeline

Purpose

Automatically generate comprehensive API documentation from code, including examples, schemas, and interactive components while maintaining accuracy and completeness.

Configuration Structure

name: api_documentation_pipeline
version: "2.0"
type: content_generation
description: "Automated API documentation with examples and interactive features"

metadata:
  category: content
  sub_category: api_docs
  output_formats: ["openapi", "markdown", "html", "postman"]
  api_types: ["rest", "graphql", "grpc", "websocket"]

inputs:
  source_code_path:
    type: string
    required: true
    description: "Path to API source code"
  
  api_type:
    type: string
    enum: ["rest", "graphql", "grpc", "websocket"]
    required: true
  
  documentation_style:
    type: string
    enum: ["reference", "tutorial", "cookbook", "complete"]
    default: "complete"
  
  include_examples:
    type: boolean
    default: true
  
  branding:
    type: object
    properties:
      company_name: string
      logo_url: string
      color_scheme: object
      custom_css: string

steps:
  - name: extract_api_structure
    type: api_parser
    inputs:
      source_path: "{{ source_code_path }}"
      api_type: "{{ api_type }}"
    config:
      extract:
        - endpoints
        - methods
        - parameters
        - request_bodies
        - response_schemas
        - authentication
        - rate_limits
        - deprecations
      parse_comments: true
      infer_types: true
    outputs:
      - api_structure
      - endpoint_metadata
      - type_definitions

  - name: analyze_api_patterns
    type: pattern_analyzer
    inputs:
      structure: "{{ api_structure }}"
    config:
      identify:
        - resource_patterns
        - naming_conventions
        - versioning_strategy
        - error_patterns
        - pagination_style
    outputs:
      - api_patterns
      - consistency_report

  - name: generate_openapi_spec
    type: openapi_generator
    inputs:
      structure: "{{ api_structure }}"
      metadata: "{{ endpoint_metadata }}"
      patterns: "{{ api_patterns }}"
    config:
      openapi_version: "3.1.0"
      include_extensions:
        - x-code-samples
        - x-readme
        - x-logo
      security_schemes: auto_detect
      example_generation: true
    outputs:
      - openapi_spec
      - validation_warnings

  - name: create_endpoint_documentation
    type: endpoint_documenter
    inputs:
      endpoints: "{{ api_structure.endpoints }}"
      patterns: "{{ api_patterns }}"
      style: "{{ documentation_style }}"
    config:
      per_endpoint_sections:
        - description
        - parameters_table
        - request_examples
        - response_examples
        - error_codes
        - rate_limits
        - authentication
        - related_endpoints
      example_languages:
        - curl
        - javascript
        - python
        - go
        - java
    outputs:
      - endpoint_docs
      - code_examples

  - name: generate_type_documentation
    type: type_documenter
    inputs:
      types: "{{ type_definitions }}"
      api_type: "{{ api_type }}"
    config:
      include:
        - field_descriptions
        - validation_rules
        - example_values
        - relationships
        - versioning_info
      format_schemas: true
      generate_diagrams: true
    outputs:
      - type_docs
      - schema_diagrams

  - name: create_authentication_guide
    type: auth_guide_generator
    inputs:
      auth_methods: "{{ api_structure.authentication }}"
      api_patterns: "{{ api_patterns }}"
    config:
      guide_sections:
        - overview
        - setup_steps
        - token_management
        - security_best_practices
        - troubleshooting
      include_flow_diagrams: true
      example_implementations: true
    outputs:
      - auth_documentation
      - security_checklist

  - name: generate_usage_examples
    type: example_generator
    when: "{{ include_examples }}"
    inputs:
      endpoints: "{{ api_structure.endpoints }}"
      patterns: "{{ api_patterns }}"
    config:
      example_scenarios:
        - basic_usage
        - authentication_flow
        - error_handling
        - pagination
        - filtering_sorting
        - bulk_operations
        - webhooks
      languages: ["curl", "javascript", "python"]
      include_responses: true
      runnable_examples: true
    outputs:
      - usage_examples
      - tutorial_sequences

  - name: create_interactive_components
    type: interactive_generator
    inputs:
      openapi: "{{ openapi_spec }}"
      examples: "{{ usage_examples }}"
    config:
      components:
        - api_explorer
        - request_builder
        - response_viewer
        - auth_tester
      frameworks:
        - swagger_ui
        - redoc
        - custom_react
    outputs:
      - interactive_components
      - component_config

  - name: generate_sdks
    type: sdk_generator
    inputs:
      openapi: "{{ openapi_spec }}"
      patterns: "{{ api_patterns }}"
    config:
      languages:
        - typescript
        - python
        - go
        - java
      include:
        - client_libraries
        - type_definitions
        - examples
        - tests
    outputs:
      - sdk_packages
      - sdk_documentation

  - name: create_migration_guides
    type: migration_guide_creator
    inputs:
      api_structure: "{{ api_structure }}"
      deprecations: "{{ api_structure.deprecations }}"
    config:
      guide_types:
        - version_migration
        - breaking_changes
        - deprecation_timeline
        - compatibility_matrix
    outputs:
      - migration_guides
      - compatibility_notes

  - name: assemble_documentation
    type: doc_assembler
    inputs:
      openapi: "{{ openapi_spec }}"
      endpoint_docs: "{{ endpoint_docs }}"
      type_docs: "{{ type_docs }}"
      auth_guide: "{{ auth_documentation }}"
      examples: "{{ usage_examples }}"
      interactive: "{{ interactive_components }}"
      branding: "{{ branding }}"
    config:
      output_formats: "{{ metadata.output_formats }}"
      navigation_structure: auto_generate
      search_indexing: true
      version_switcher: true
    outputs:
      - complete_documentation
      - static_site
      - search_index

outputs:
  api_documentation:
    type: multi_format_docs
    formats:
      - openapi_spec
      - markdown_files
      - html_site
      - pdf_reference
  
  developer_resources:
    type: resource_package
    includes:
      - sdk_packages
      - postman_collection
      - insomnia_workspace
      - example_projects
  
  deployment_package:
    type: static_site
    includes:
      - html_files
      - assets
      - search_index
      - interactive_components

4. Changelog Generation Pipeline

Purpose

Automatically generate comprehensive changelogs from git history, issue trackers, and pull requests while categorizing changes and maintaining consistent formatting.

Configuration Structure

name: changelog_generation_pipeline
version: "2.0"
type: content_generation
description: "Intelligent changelog generation with semantic categorization"

metadata:
  category: content
  sub_category: changelog
  versioning_schemes: ["semver", "calver", "custom"]
  output_formats: ["markdown", "json", "html", "rss"]

inputs:
  repository_path:
    type: string
    required: true
    description: "Path to git repository"
  
  version_range:
    type: object
    properties:
      from:
        type: string
        description: "Starting version/tag/commit"
      to:
        type: string
        description: "Ending version/tag/commit"
        default: "HEAD"
  
  categorization_rules:
    type: object
    properties:
      breaking_changes:
        type: array
        items:
          type: string
        default: ["BREAKING:", "!:", "breaking change"]
      features:
        type: array
        items:
          type: string
        default: ["feat:", "feature:", "add:"]
      fixes:
        type: array
        items:
          type: string
        default: ["fix:", "bugfix:", "patch:"]
  
  include_contributors:
    type: boolean
    default: true
  
  include_stats:
    type: boolean
    default: true

steps:
  - name: collect_commits
    type: git_history_collector
    inputs:
      repo: "{{ repository_path }}"
      range: "{{ version_range }}"
    config:
      include_merge_commits: false
      fetch_full_messages: true
      extract_metadata:
        - author
        - date
        - files_changed
        - insertions
        - deletions
    outputs:
      - commit_list
      - commit_metadata

  - name: collect_issues_prs
    type: issue_tracker_collector
    inputs:
      repo: "{{ repository_path }}"
      date_range: "{{ commit_metadata.date_range }}"
    config:
      sources:
        - github
        - gitlab
        - jira
      fetch:
        - closed_issues
        - merged_prs
        - labels
        - milestones
    outputs:
      - issues_list
      - pull_requests
      - cross_references

  - name: analyze_changes
    type: change_analyzer
    inputs:
      commits: "{{ commit_list }}"
      issues: "{{ issues_list }}"
      prs: "{{ pull_requests }}"
    config:
      analysis_depth: "semantic"
      detect:
        - breaking_changes
        - new_features
        - bug_fixes
        - performance_improvements
        - dependency_updates
        - documentation_changes
      link_commits_to_issues: true
    outputs:
      - categorized_changes
      - impact_analysis
      - dependency_changes

  - name: extract_release_notes
    type: release_note_extractor
    inputs:
      prs: "{{ pull_requests }}"
      issues: "{{ issues_list }}"
    config:
      extract_from:
        - pr_descriptions
        - issue_descriptions
        - special_comments
      markers:
        - "Release Notes:"
        - "Changelog:"
        - "@changelog"
    outputs:
      - manual_release_notes
      - highlighted_changes

  - name: generate_change_descriptions
    type: llm_description_generator
    inputs:
      changes: "{{ categorized_changes }}"
      context: "{{ cross_references }}"
      manual_notes: "{{ manual_release_notes }}"
    prompt: |
      Generate clear, user-focused descriptions for these changes:
      
      Changes:
      {{ changes | to_yaml }}
      
      Context from issues/PRs:
      {{ context | to_yaml }}
      
      Manual notes:
      {{ manual_notes }}
      
      For each change:
      1. Write a concise, user-friendly description
      2. Highlight the benefit or impact
      3. Include relevant issue/PR numbers
      4. Note any migration requirements
      5. Keep technical jargon minimal
      
      Group by category and prioritize by impact.
    outputs:
      - change_descriptions
      - migration_notes

  - name: calculate_version_bump
    type: version_calculator
    inputs:
      changes: "{{ categorized_changes }}"
      current_version: "{{ version_range.from }}"
      scheme: "{{ metadata.versioning_schemes[0] }}"
    config:
      rules:
        major: ["breaking_changes"]
        minor: ["features", "enhancements"]
        patch: ["fixes", "performance", "docs"]
      respect_prereleases: true
    outputs:
      - suggested_version
      - version_justification

  - name: generate_statistics
    type: release_stats_generator
    when: "{{ include_stats }}"
    inputs:
      commits: "{{ commit_metadata }}"
      changes: "{{ categorized_changes }}"
      contributors: "{{ commit_metadata.unique_authors }}"
    config:
      calculate:
        - total_commits
        - contributors_count
        - lines_changed
        - files_affected
        - average_pr_time
        - issue_closure_rate
      visualize:
        - contribution_graph
        - change_distribution
        - activity_timeline
    outputs:
      - release_statistics
      - statistics_visuals

  - name: format_changelog
    type: changelog_formatter
    inputs:
      version: "{{ suggested_version }}"
      date: "{{ version_range.to_date }}"
      descriptions: "{{ change_descriptions }}"
      stats: "{{ release_statistics | default({}) }}"
      contributors: "{{ commit_metadata.unique_authors }}"
    config:
      template: |
        # {{ version }} ({{ date }})
        
        {{ release_summary }}
        
        ## ⚠️ Breaking Changes
        {{ breaking_changes }}
        
        ## ✨ New Features
        {{ features }}
        
        ## 🐛 Bug Fixes
        {{ fixes }}
        
        ## 🚀 Performance Improvements
        {{ performance }}
        
        ## 📦 Dependency Updates
        {{ dependencies }}
        
        ## 📚 Documentation
        {{ documentation }}
        
        {{ #if include_stats }}
        ## 📊 Release Statistics
        {{ statistics }}
        {{ /if }}
        
        {{ #if include_contributors }}
        ## 👥 Contributors
        {{ contributors_list }}
        {{ /if }}
        
        {{ migration_guide }}
      
      group_by_importance: true
      include_compare_link: true
    outputs:
      - formatted_changelog
      - section_counts

  - name: generate_migration_guide
    type: migration_guide_generator
    when: "{{ categorized_changes.breaking_changes | length > 0 }}"
    inputs:
      breaking_changes: "{{ categorized_changes.breaking_changes }}"
      old_version: "{{ version_range.from }}"
      new_version: "{{ suggested_version }}"
    config:
      include:
        - step_by_step_guide
        - code_examples
        - deprecation_timeline
        - rollback_instructions
    outputs:
      - migration_guide
      - deprecation_warnings

  - name: create_release_assets
    type: release_asset_generator
    inputs:
      changelog: "{{ formatted_changelog }}"
      version: "{{ suggested_version }}"
      stats: "{{ statistics_visuals }}"
    config:
      generate:
        - release_notes_pdf
        - announcement_email
        - social_media_posts
        - blog_post_draft
      branding: true
    outputs:
      - release_assets
      - announcement_content

outputs:
  changelog:
    type: versioned_document
    formats: "{{ metadata.output_formats }}"
    includes:
      - formatted_content
      - version_metadata
      - contributor_list
  
  release_package:
    type: release_bundle
    includes:
      - changelog
      - migration_guide
      - release_assets
      - statistics_report
  
  ci_artifacts:
    type: automation_outputs
    includes:
      - version_bump_config
      - release_notes_json
      - changelog_feed_rss

Reusable Components

1. Content Analysis Components

Readability Analyzer

component: readability_analyzer
type: content_analysis
description: "Analyze content readability and complexity"

inputs:
  content: string
  target_audience: string

config:
  metrics:
    - flesch_reading_ease
    - flesch_kincaid_grade
    - gunning_fog
    - average_sentence_length
    - vocabulary_complexity

outputs:
  readability_scores: object
  improvement_suggestions: array

SEO Analyzer

component: seo_analyzer
type: content_analysis
description: "Analyze and optimize content for SEO"

inputs:
  content: string
  target_keywords: array
  competitor_analysis: object

config:
  analyze:
    - keyword_density
    - meta_tags
    - header_structure
    - internal_links
    - content_length
    - semantic_relevance

outputs:
  seo_score: number
  optimization_tasks: array
  keyword_suggestions: array

2. Content Generation Components

Code Example Generator

component: code_example_generator
type: content_generation
description: "Generate runnable code examples"

inputs:
  concept: string
  language: string
  complexity: string

config:
  ensure:
    - syntactic_correctness
    - best_practices
    - error_handling
    - comments
    - imports

outputs:
  code_example: string
  explanation: string
  common_variations: array

Visual Prompt Generator

component: visual_prompt_generator
type: content_generation
description: "Generate prompts for diagram/visual creation"

inputs:
  concept: string
  visual_type: string
  style_guide: object

config:
  prompt_elements:
    - layout_description
    - component_list
    - relationship_mapping
    - style_specifications
    - annotation_requirements

outputs:
  visual_prompt: string
  mermaid_diagram: string
  svg_specification: object

3. Content Enhancement Components

Tone Adjuster

component: tone_adjuster
type: content_enhancement
description: "Adjust content tone and voice"

inputs:
  content: string
  target_tone: string
  brand_voice: object

config:
  preserve:
    - technical_accuracy
    - key_information
    - structure
  adjust:
    - vocabulary
    - sentence_structure
    - formality_level

outputs:
  adjusted_content: string
  tone_analysis: object

Integration Patterns

1. CMS Integration

integration: cms
supported_platforms:
  - wordpress
  - contentful
  - strapi
  - gatsby

configuration:
  auto_publish: false
  draft_creation: true
  metadata_mapping:
    title: "post_title"
    content: "post_content"
    tags: "post_tags"
    seo: "yoast_meta"

2. Documentation Platforms

integration: documentation_platforms
supported:
  - gitbook
  - readthedocs
  - docusaurus
  - mkdocs

features:
  - auto_deployment
  - version_management
  - search_indexing
  - multi_language

Performance Considerations

1. Content Caching

  • Cache generated outlines for reuse
  • Store common code examples
  • Maintain template library
  • Cache SEO analysis results

2. Parallel Generation

  • Generate sections concurrently
  • Parallel visual prompt creation
  • Distributed example generation
  • Concurrent quality checks

3. Incremental Updates

  • Detect changed sections only
  • Incremental changelog generation
  • Partial documentation updates
  • Smart cache invalidation

Quality Assurance

1. Content Validation

validation_checks:
  technical_accuracy:
    - code_execution
    - fact_checking
    - link_validation
  
  consistency:
    - terminology_check
    - style_guide_adherence
    - voice_consistency
  
  completeness:
    - objective_coverage
    - example_presence
    - section_completion

2. Automated Testing

  • Grammar and spell checking
  • Code snippet validation
  • SEO guideline compliance
  • Accessibility standards
  • Cross-reference validation

Future Enhancements

1. Multi-Modal Content

  • Video script generation
  • Podcast outline creation
  • Infographic data preparation
  • Interactive tutorial building

2. Personalization

  • Audience-specific variations
  • Dynamic content adaptation
  • Learning path customization
  • Preference-based formatting

3. Analytics Integration

  • Content performance tracking
  • Engagement metrics collection
  • A/B testing support
  • Reader feedback incorporation