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Extract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers.
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SOC 職業分類に基づく
Extract achievement entities from narrative text. Use when analyzing trophies, badges, ranks, leaderboards, titles, and progression reward milestones.
Extract analytics and game balance entities from narrative text. Use when analyzing player metrics, difficulty curves, drop rates, loot tables, heatmaps, and balance tuning.
Extract audio entities from narrative text. Use when analyzing music themes, sound effects, ambient audio, motifs, dynamic scoring, and silence as narrative device.
Extract biology entities from narrative text. Use when analyzing ecosystems, food chains, migration, hibernation, reproduction, extinction events, and evolution.
Extract celestial entities from narrative text. Use when analyzing galaxies, nebulae, black holes, star systems, moons, eclipses, solstices, and astronomical phenomena.
Extract character entities from narrative text. Use when analyzing characters, relationships, psychology, development arcs, voice/mocap data, and character variants.
| name | research-design |
| description | Extract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers. |
Domain skill for Research Education Specialist. Specific extraction rules and expertise.
When extracting research and education entities from chapter text:
Identify education/research elements:
Extract education/research details:
Analyze education/research context:
Create schema-compliant entities with proper JSON structure
