theme-extraction

Theme Extraction & Analysis

Extracts themes, motifs, and symbolic patterns from the story graph and provides thematic depth analysis.

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Theme Extraction Process

1. Explicit Theme Detection

Scan these fields for theme indicators:

• graph.tags: Already extracted themes (e.g., "love", "destiny", "power")
• Event labels: Look for thematic keywords
• Character traits: Identify trait patterns
• Conflict descriptions: Extract thematic conflict types

Common Themes:

Theme	Keywords
Love	love, heart, sacrifice, connection, loss
Destiny	fate, prophecy, chosen, purpose, legacy
Power	power, control, strength, corruption, balance
Identity	self, discovery, truth, mask, belonging
Redemption	change, growth, forgiveness, second chance
Survival	fight, escape, endurance, fear, hope
Justice	right, wrong, truth, law, revenge
Growth	learn, change, journey, transformation

Score each theme: Strong (3+ matches) | Moderate (2) | Weak (1) | None (0)

2. Implicit Theme Inference

Analyze these for hidden themes:

Character Arcs:

• What transformation does the protagonist undergo?
• What does the antagonist represent?
• What do secondary characters symbolize?

Event Sequence:

• What pattern emerges from event progression?
• Is there a cyclical structure?
• What climax/resolution suggests thematically?

Conflict Types:

• Internal conflicts → Identity, Redemption, Growth themes
• External conflicts → Power, Justice, Survival themes
• Relational conflicts → Love, Identity themes

3. Motif Tracking

Identify recurring elements:

• Physical objects that appear multiple times
• Recurring locations or settings
• Repeated phrases or actions
• Character behavior patterns

For each motif:

• List all occurrences (event ID + context)
• Track how meaning evolves
• Note symbolic significance

4. Symbolic Analysis

Identify symbolic elements:

• Characters who represent abstract concepts
• Objects with deeper meaning
• Settings that symbolize states
• Colors, numbers, or elements with cultural weight

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Output Format

## Theme Analysis: [Story Title]

### 🎯 Core Themes (detected in story)

| Theme | Strength | Evidence |
|-------|----------|----------|
| [Theme 1] | Strong | event_3, event_7, character arc |
| [Theme 2] | Moderate | tags, conflict description |

### 🔍 Implicit Themes (inferred)

- **[Theme]**: Derived from [character arc/conflict type/event pattern]
  
### 🎪 Motifs & Patterns

**Recurring Elements:**
- [Motif]: Appears in events [list] — evolves from [meaning A] to [meaning B]
- [Motif]: Appears in events [list] — remains consistent as [meaning]

### ⚜️ Symbolic Elements

- **[Symbol]**: Represents [abstract concept] in [context]
- **[Character]**: Embodies [theme] through [behavior]

### 📖 Thematic Arc

[How themes evolve across the story - beginning → middle → end]

### 💡 Thematic Strength Assessment

- **Cohesion**: [Strong/Moderate/Weak] — themes reinforce each other
- **Depth**: [High/Medium/Low] — explicit vs implicit balance
- **Originality**: [Fresh/Common/Trope] — fresh vs predictable themes

### 🎯 Recommendations

1. Strengthen [Theme] by adding more explicit moments in Act 2
2. Develop [Motif] as a through-line connecting all acts
3. Consider making [Symbol] more prominent for visual storytelling

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Activation Triggers

This skill activates automatically when:

1. User asks about themes, motifs, or symbolism
2. Story graph has tags field with theme-related content
3. User requests "deep analysis" or "thematic review"
4. Export output is present and user asks "what does this mean"

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Integration Points

• After analyze_story: Can enhance with theme detection
• Before export: Can add thematic notes to exports
• With character-analysis: Character arcs inform theme inference
• With structural-audit: Themes contribute to overall health score