novel-development
Work on novel-specific features including plot engines, character development, world-building, timeline management, and GOAP-based story generation. Use when implementing narrative systems, character arcs, or story planning tools.
When & Why to Use This Skill
The Novel Development skill is a specialized framework designed for building and managing complex narrative systems. It streamlines the creation of plot engines, character arcs, and world-building databases, while leveraging advanced AI techniques like GOAP (Goal-Oriented Action Planning) for story generation. This skill is essential for developers and writers looking to maintain narrative consistency, analyze story structures, and automate the planning of intricate literary or interactive projects.
Use Cases
- Case 1: Implementing automated plot engines to analyze story beats and detect narrative inconsistencies or plot holes.
- Case 2: Designing complex character development systems that track relationship graphs and evolution across multiple story arcs.
- Case 3: Managing large-scale world-building projects by maintaining coherent lore, location data, and cultural frameworks.
- Case 4: Developing AI-driven story generation tools using GOAP to create dynamic and logical narrative sequences.
- Case 5: Building timeline management tools to synchronize multi-threaded plotlines and ensure chronological accuracy in long-form fiction.
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Novel Development
Quick Reference
- Plot Engine - Story analysis, generation, and hole detection
- Character Development - Character arcs and relationship systems
- World Building - Locations, cultures, and lore management
- Story Structure - Narrative frameworks and timeline management
When to Use
- Implementing plot analysis or generation systems
- Building character relationship graphs or development tools
- Creating world-building management systems
- Working on timeline or story structure features
- Developing GOAP-based story generation
- Analyzing narrative structures or character arcs
Core Methodology
- Narrative Analysis: Apply story structure theory (three-act, beat sheets, hero's journey)
- Character Modeling: Use relationship graphs and arc tracking
- World Consistency: Maintain coherent lore and location data
- GOAP Integration: Leverage goal-oriented action planning for story generation
- Data Validation: Ensure narrative consistency and logical flow
Integration
- architecture-guardian: Enforce clean architecture for narrative features
- domain-expert: Apply domain-driven design to narrative concepts
- qa-engineer: Test narrative logic and edge cases
- performance-engineer: Optimize large narrative data structures
- writing-assistant: Integrate with writing tools and style analysis
Best Practices
✓ Use type-safe data structures for narrative elements ✓ Maintain referential integrity between characters, locations, and events ✓ Implement validation for narrative consistency ✓ Optimize for large story datasets ✓ Provide visual feedback for complex relationships
Content Modules
See detailed modules:
- Plot Engine: Analysis, generation, and hole detection systems
- Character Development: Arcs, relationships, and evolution
- World Building: Locations, cultures, and lore management
- Story Structure: Frameworks and timeline management
- GOAP Integration: AI-driven story generation