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Create World

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create-world

Create World is an Agent Skill for documents published in the AIScientists-Dev/WorldSeed repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Generate WorldSeed scene configs (YAML + UI JSON) from a scenario description.

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QUICK START

How to use this skill

Bring this guide into your coding agent with a prompt tailored to the tool you use.

  1. Open your project in Codex.
  2. Copy and paste the prompt below.
  3. Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/AIScientists-Dev/WorldSeed/blob/HEAD/skills/create-world/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/create-world, but wait for my approval before writing files or running scripts.

Copying this prompt does not install or run the skill. Review third-party files before use.

World Architect

What WorldSeed Is

WorldSeed is the interaction and coordination layer between AI agents. Each agent has its own tools and capabilities (trading, coding, researching) via its react loop. WorldSeed manages the shared space: state, visibility, rules, and consequences. WorldSeed never touches what agents do on their own.

When designing a world, ask:

  1. What can agents already do on their own? (anything their tools enable)
  2. What does WorldSeed add? (information asymmetry, social dynamics, consequences, workflow enforcement, shared coordination state)
  3. What should WorldSeed NOT build? (don't reimplement what agents' tools already do)

Output

Two files per world:

  • configs/{scene_id}.yaml — scene config (entities, agents, actions, rules, consequences)
  • frontend/public/configs/{scene_id}.ui.json — UI config (how entities render on the dashboard)

Process

Step 1: Generate Scene Config

Read these references, then generate a valid YAML config. Save to configs/{scene_id}.yaml.

  • configs/template.yaml — starting template with every key commented
  • configs/SCENE_CONFIG.md — full schema reference
  • configs/SCENE_DSL.md — DSL expressions (preconditions, effects, functions)
  • references/design-patterns.md — patterns + anti-patterns (read anti-patterns first)
  • configs/SCENE_DESIGN.md — practical implementation: action design, resource modeling, urgency math, testing
  • references/character-guide.md — character cards, drives, playbooks
  • references/preset-catalog.md — reusable presets (scene.use) — don't rewrite talk/attempt/move
  • configs/teahouse.yaml — worked example of a complete config

Narrator

The narrator is on by default (style: "storyteller", interval: 10). Decide whether to keep the default, change the style, or disable it.

Built-in styles (full descriptions in configs/SCENE_CONFIG.md): storyteller, poet, intel, noir, gossip, conspiracy, bureaucrat, gameshow, trickster

When to adjust:

  • Story-driven scenes (intrigue, social dynamics, hidden information) → keep default "storyteller", or pick "noir" / "gossip" / "conspiracy" to match tone
  • Data-heavy or operational scenes (resource management, workflow) → "intel" for concise briefings, "bureaucrat" for procedural framing
  • Atmospheric or experimental scenes → "poet" for minimal imagery, "trickster" for unreliable narration
  • Pure mechanical simulations with no observer → narrator: false

prompt vs style: Setting prompt replaces the built-in style entirely — the two are not combined. Use prompt when no built-in style fits. Use style when a preset is close enough.

interval: Default 10 ticks. Lower (e.g. 5) for fast-paced scenes where a lot happens per tick. Higher (e.g. 20) for slow scenes where the narrator would repeat itself.

# Examples
narrator: "storyteller"                      # shorthand — default style
narrator: false                              # disable
narrator:
  style: "intel"
  interval: 5
narrator:
  prompt: "Write as a noir detective's internal monologue. Short, cynical sentences."
  interval: 15

See configs/SCENE_CONFIG.md → narrator section for full field reference.

Step 2: Select Assets (optional but encouraged)

Check frontend/public/assets/library/manifest.json for reusable images.

Three paths:

  1. User provides images — custom images matching the scene are always best
  2. Pick from library — copy to frontend/public/assets/scenes/{scene_id}/
  3. No images — set asset_pack: "". Renders as fallback text.

Asset pack directory structure:

frontend/public/assets/scenes/{scene_id}/
  agents/{agent_id}.png
  entities/{entity_id}.png

Step 3: Generate UI Config

Read these references, then generate a matching UI JSON. Save to frontend/public/configs/{scene_id}.ui.json.

  • references/ui-config-guide.md — decision tree for scene types, what to show/hide
  • frontend/src/lib/ui-fragments.ts — copy-paste building blocks with JSDoc
  • configs/UI_CONFIG.md — full schema reference
  • configs/UI_SCAFFOLD.jsonc — starting template

Set asset_pack to scene ID (if assets exist) or "". Every entity type needs a matching rule. Always set event_defaults: {"bubble": "action"}.

Step 4: Self-Check

Run through references/config-checklist.md. Focus on:

  • Section H — highlight markers on key actions/events
  • Section I — drive quality (dilemmas not instructions, no cross-agent secret leaks, engine-enforced mechanics)

Step 5: Validate

uv run worldseed validate configs/{scene_id}.yaml

Fix all errors before proceeding.

Step 6: Deliver

uv run worldseed play configs/{scene_id}.yaml

Custom port: --port <port>. Multiple worlds run simultaneously on different ports.

Rules

  • Find natural tension, don't inject it. Tension can be dramatic or operational.
  • Prefer fewer, richer actions (5-8). Use attempt as overflow.
  • Every agent needs asymmetric information, goals, or capabilities.
  • Structured scenarios need playbooks AND engine-enforced preconditions — see references/design-patterns.md Moderator Agent Pattern.
  • Read anti-patterns before generating — they're tested across 65+ runs.