story-prep-skill

To prepare narrative context, automate the collection of protagonist, NPC, and environment state data to generate a reliable narrative context snapshot for the story engine. This snapshot binds current character statuses, nearby interactions, and spatial conditions to ensure narrative consistency.

A narrative context snapshot is a structured prompt-ready summary of current world logic, character statuses, and spatial descriptions. It works by feeding this pre-collected data into the story engine's prompt, ensuring narrative generation aligns with existing world settings.

You capture character status and environment data by running a Python script to extract protagonist attributes, NPC goodwill, and spatial descriptions from local data sources. This process outputs a structured summary ready for narrative pre-generation.

Yes, generating a story preparation context requires data sources from protagonist, NPC, and world-logic references. These sources provide the necessary current character statuses, nearby interactions, and spatial conditions to build the prompt-ready summary.

Narrative deviations and repeated settings occur when the story engine lacks current world state data. Running a pre-check context script to capture protagonist, NPC, and environment factors before generation provides a structured snapshot to reduce these inconsistencies.

Yes, you can use local Python scripts to automate story preparation by collecting protagonist, NPC, and environment state data. The script outputs a structured narrative context snapshot that feeds directly into your story engine prompts.