novel-openviking

Map file-based novel writing memories to OpenViking semantic memory functions.

2.7k|253|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/wanikua/danghuangshang --skill novel-openviking
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: novel-openviking
Source: https://github.com/wanikua/danghuangshang/tree/main/extensions/novel-openviking/skills/novel-openviking
Command: npx skills add https://github.com/wanikua/danghuangshang --skill novel-openviking

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill integrates novel writing pipeline memories (settings, summaries, plot hooks) into the OpenViking semantic memory system, enhancing AI's recall and consistency in creative writing.

Core Features & Use Cases

  • Semantic Memory Mapping: Maps file-based memory operations (like writing character sheets or chapter summaries) to semantic memory commands (memory_store, memory_recall, memory_forget).
  • Contextual Recall: Enables AI to recall specific character traits, world rules, plot points, and chapter summaries based on semantic queries.
  • Use Case: When writing a new chapter, the AI can use memory_recall to retrieve a character's established personality traits and recent emotional state, ensuring consistent portrayal.

Quick Start

Use memory_store to store the character profile for 'Elara' including her background and motivations.

Frequently Asked Questions about novel-openviking

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does semantic memory improve AI novel writing consistency?

Semantic memory improves AI novel writing consistency by storing and retrieving narrative elements like character traits, world rules, and plot hooks, ensuring accurate contextual recall across chapters.

How do I store a character profile for consistent recall during novel writing?

To store a character profile during novel writing, use the memory_store function to map file-based character sheets to semantic memory, enabling subsequent retrieval of personality traits and emotional states.

What is the best way to maintain world-building adherence in AI creative writing?

The best way to maintain world-building adherence in AI creative writing is mapping file-based memory operations to semantic memory commands, structuring access to established settings and lore through contextual recall.

Can I retrieve specific plot points when writing a new chapter with AI?

Yes, you can retrieve specific plot points when writing a new chapter by using the memory_recall function to query semantic memory for relevant chapter summaries and established narrative hooks.

Does this semantic memory mapping work without external dependencies?

Yes, the semantic memory mapping works without external dependencies, integrating novel writing pipeline memories directly into the OpenViking system to manage settings, summaries, and plot hooks.

When should I use the memory_forget function in a creative writing pipeline?

You should use the memory_forget function in a creative writing pipeline when you need to remove outdated plot hooks or obsolete character details from the semantic memory system to prevent narrative conflicts.