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environmental-design

Extract environmental entities from narrative text. Use when analyzing weather, atmosphere, lighting, time periods, natural disasters, cataclysms, plagues, and world events.

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Repository
bivex/loreSystem
Letzte Quellaktivität
21. März 2026 um 15:19
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Englisch
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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
environmental-design
description
Extract environmental entities from narrative text. Use when analyzing weather, atmosphere, lighting, time periods, natural disasters, cataclysms, plagues, and world events.
# environmental-design Domain skill for environmental conditions and events extraction. ## Entity Types | Type | Description | |------|-------------| | `environment` | General environmental setting or biome | | `weather_pattern` | Weather system or meteorological condition | | `atmosphere` | Atmospheric condition (fog, pressure, air quality) | | `lighting` | Lighting condition (natural or magical) | | `time_period` | Time of day or seasonal context | | `disaster` | Natural disaster (storm, flood, earthquake) | | `cataclysm` | Major catastrophic event | | `world_event` | Significant world-scale event | | `seasonal_event` | Recurring seasonal occurrence | | `plague` | Disease outbreak or epidemic | ## Domain Constraints - `time_of_day`: day, night, dawn, dusk - `weather`: clear, rainy, stormy, foggy - `lighting`: bright, dim, dark, magical ## Extraction Rules 1. **Weather**: Rain, snow, storms, clear sky — note intensity and duration 2. **Time**: Dawn, noon, dusk, midnight — track progression through text 3. **Atmosphere**: Fog, oppressive heat, crisp air — sensory details 4. **Disasters**: Storms, floods, earthquakes — scale, impact, duration 5. **World events**: Wars, plagues, seasonal celebrations — scope and significance ## Output Format Write to `entities/world.json` (world-team file): ```json { "environments": [ { "id": 1, "world_id": 1, "location_id": 10, "name": "Stormy Night", "description": "Dark clouds gathering from the north, storm imminent", "time_of_day": "night", "weather": "stormy", "lighting": "dim", "temperature": "chilly", "sounds": "distant thunder", "smells": "wet earth", "is_active": true, "created_at": "2026-02-14T10:00:00+00:00", "updated_at": "2026-02-14T10:00:00+00:00", "version": 1 } ], "weather_patterns": [ { "id": 2, "tenant_id": 1, "name": "Approaching Storm", "pattern_type": "storm", "severity": 0.9, "duration_minutes": 180, "affected_regions": [10], "conditions": { "wind": "strong", "precipitation": "heavy" }, "is_active": true, "created_at": "2026-02-14T10:00:00+00:00", "updated_at": "2026-02-14T10:00:00+00:00" } ], "next_id": 3 } ``` ## Key Considerations - **Mood impact**: Environment affects narrative tone (storms = tension, dawn = hope) - **Narrative function**: Weather often mirrors story events (pathetic fallacy) - **Temporal flow**: Track time progression and environmental changes through text - **Cross-references**: If needed, track relationships separately in drafts, but final JSON must match `LoreData.from_dict`.
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