Index and manage game world lore entries with semantic search and retrieval.
npx skills add https://github.com/nikolaj-lat/World-Puppeteer --skill world-lore
Please help me install this Agent Skill. Skill: world-lore Source: https://github.com/nikolaj-lat/World-Puppeteer/tree/main/.claude/skills/world-lore Command: npx skills add https://github.com/nikolaj-lat/World-Puppeteer --skill world-lore
World lore is often scattered and hard to retrieve during gameplay. This skill provides a structured schema and retrieval rules to store and fetch lore entries efficiently.
Create a lore topic like 'The Great Forgetting' and write its text as a self-contained paragraph following the schema.
High-intent search queries and answers about installing and using this skill.
To structure game world lore for semantic search, you index entries using a schema with text and optional embeddingId fields. This approach enables agents to retrieve historical events, faction secrets, and world rules dynamically during gameplay.
Semantic search for world lore entries is a retrieval mechanism that uses embeddings to match narrative queries to structured text. It ensures storytelling consistency by fetching relevant world rules, geographic knowledge, and historical events on demand.
You create a lore entry by defining a topic, such as a historical event, and writing a self-contained paragraph of text following the specified schema. This structured approach ensures narrative consistency by allowing agents to reference the same lore across regions.
Yes, you can retrieve faction secrets and world rules dynamically by applying semantic search to the indexed lore entries. The retrieval rules fetch structured lore topics to support ongoing storytelling without breaking narrative consistency.
You do not need an embeddingId to manage world lore entries, as the field is optional in the schema. However, including an embeddingId enables semantic search capabilities, allowing agents to fetch lore based on conceptual similarity rather than exact matches.
The best way to store scattered world-building knowledge is to consolidate it into structured lore entries with defined text and optional embeddingId fields. This indexing approach prevents lore from being lost and provides memory handling rules for agent retrieval.
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