39 lines
1.9 KiB
Markdown
39 lines
1.9 KiB
Markdown
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Analyze and score all scenes in the manuscript on several quality dimensions (0.5-10 scale), updating the ratings.csv file.
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## Task Instructions
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1. **Compile chapters**: Run `python scripts/compile_manuscript.py --chapters-only` to ensure current content
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2. **For each compiled chapter** from `Compiled/Chapters/` directory, read it and perform the following steps.
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3. **Extract scenes**: Identify individual scenes (marked by `## Scene Name` headers) from each chapter
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4. **Score each scene** on these specific qualities (0.0-10.0 scale):
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- **Plot Advancement**: How significantly the scene moves story forward
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- **Pacing**: Flow, rhythm, tension building/release
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- **Opening Hook**: How effectively the scene draws readers in immediately
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- **Closing Hook**: How well it creates anticipation or transitions
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- **Narrative**: Prose quality, imagery, emotional resonance
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- **Dialogue**: Character voice consistency, naturalness, purpose
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- **Emotion**: How effectively the scene triggers emotions
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5. **Scoring criteria**:
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- Use your literary analysis expertise
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- Consider scene function within chapter/story context
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- Rate relative to professional fiction standards
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- 0.0-3.0: Major issues, needs substantial work
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- 4.0-6.0: Functional but needs improvement
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- 7.0-8.5: Good quality, minor polish needed
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- 9.0-10.0: Exceptional, publication-ready
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6. **Update ratings.csv**: Create/update with new scores in format:
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```
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Scene,Plot Advancement,Pacing,Opening Hook,Closing Hook,Narrative,Dialogue,Emotion
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Chapter X: Scene Name,8.5,7.0,9.0,8.0,8.5,7.5,8.0
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```
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7. **Provide summary**: Total scenes analyzed, highest/lowest rated scenes, key patterns observed
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Focus on objective story craft assessment. Skip any placeholder scenes (marked "Scene content goes here" or similar).
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The user is seeking to publish this manuscript and requires an accurate assessment.
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