narrative-architect

Generate case-plan.json and clue_catalog.json for mystery cases.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/pr3t3l/openclaw-config --skill narrative-architect-pr3t3l
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: narrative-architect
Source: https://github.com/pr3t3l/openclaw-config/tree/main/workspace/skills/narrative-architect
Command: npx skills add https://github.com/pr3t3l/openclaw-config --skill narrative-architect-pr3t3l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Narrative-Architect enables game designers and writers to generate fully structured mystery cases by producing case-plan.json and clue_catalog.json that are ready to deploy in Declassified Cases.

Core Features & Use Cases

  • Plans complete mystery cases with envelopes A, B, C, R and a multi-environment narrative.
  • Produces case-plan.json and clue_catalog.json with consistent document IDs and production briefs.
  • Supports trojan-horse documents, social media immersion, spatial mappings, and an adaptable timeline.
  • Allows iterative refinement via updated POIs and contradictions to keep the mystery coherent.

Quick Start

Provide a high-level case prompt including a slug, cast of POIs, and setting to generate the full case-plan.json and clue_catalog.json artifacts.

Frequently Asked Questions about narrative-architect

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

FAQPage Schema
How do I generate a complete mystery case from a high-level prompt?

To generate a complete mystery case, provide a high-level prompt containing a slug, cast of POIs, and setting. The tool then plans the end-to-end narrative and outputs ready-to-deploy case-plan.json and clue_catalog.json artifacts.

What are trojan-horse documents in scenario-design?

Trojan-horse documents in scenario-design are deceptive case artifacts containing hidden contradictions or embedded clues. They are generated alongside social media immersion elements and spatial mappings to deepen the investigative experience.

How do I structure clue catalogs and case plans for investigative games?

You structure clue catalogs and case plans by coordinating Envelopes A, B, C, and R with adaptable timelines. This produces cohesive artifacts with consistent document IDs and production briefs for the entire investigative experience.

Can I refine a generated case-plan to fix narrative contradictions?

Yes, you can refine a generated case-plan by updating POIs and injecting new contradictions. This iterative refinement process keeps the mystery coherent across all generated envelopes without requiring a full regeneration.

What schema format do generated mystery case artifacts use?

Generated mystery case artifacts use a strict JSON schema format for both case-plan.json and clue_catalog.json. The system maintains consistent doc_id formats and outputs only the created artifacts with no extraneous explanations.

Does mystery case generation require external dependencies or components?

Mystery case generation requires no external dependencies or components. You simply provide a high-level case prompt with a slug, cast of POIs, and setting to start producing the structured JSON artifacts immediately.