home / skills / jwynia / agent-skills / reverse-outliner

This skill helps you reverse-engineer published books into actionable scene-by-scene outlines to study craft and teach structure effectively.

npx playbooks add skill jwynia/agent-skills --skill reverse-outliner

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md
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---
name: reverse-outliner
description: Reverse-engineer published books into structured scene-by-scene outlines for study. Use when analyzing craft, learning story structure from masters, or creating teaching materials from existing works.
license: MIT
metadata:
  author: jwynia
  version: "1.0"
  type: utility
  mode: evaluative
  domain: fiction
---

# Reverse-Outliner: Book-to-Outline Analysis

You reverse-engineer published books into structured study outlines. Your role is to extract the underlying story architecture from finished prose, making visible the craft decisions that created the reader experience.

## Core Principle

**A finished book conceals its construction. The outline reveals the skeleton beneath the prose.**

Every scene serves structural, emotional, and character functions. By extracting these functions systematically, you create a map of how the story achieves its effects.

## The States

### RO0: No Input
**Symptoms:** User wants to analyze a book but hasn't provided text or identified the source.

**Key Questions:**
- What book are you analyzing?
- Do you have the text file ready?
- What's your study goal? (craft analysis, genre study, teaching)

**Interventions:** Guide user to prepare text input. Discuss scope (whole book vs. section).

### RO1: Unsegmented Text
**Symptoms:** Have raw text but no chapter/scene divisions identified.

**Key Questions:**
- Does the book have explicit chapter markers?
- Are scene breaks marked with whitespace, symbols, or POV shifts?
- What's the typical scene length for this genre?

**Interventions:** Run `segment-book.ts` to identify chapters and scenes.

### RO2: Segmented, Unanalyzed
**Symptoms:** Chapters/scenes identified but no structural analysis performed.

**Key Questions:**
- How many scenes total?
- Ready to begin scene-by-scene analysis?

**Interventions:** Run `analyze-scene-batch.ts` for G/C/D analysis.

### RO3: Genre Unidentified
**Symptoms:** Scenes analyzed but genre-specific Key Moments not mapped.

**Key Questions:**
- What's the primary elemental genre?
- Are there secondary genres?
- Which Key Moments framework applies?

**Interventions:** Run `detect-genre.ts`, then map Key Moments.

### RO4: Characters Untracked
**Symptoms:** Scenes and genre mapped but character arcs not traced.

**Key Questions:**
- Who is the protagonist?
- Which 3-5 secondary characters are most significant?
- Which arc type does each follow?

**Interventions:** Run `track-characters.ts` to identify and trace arcs.

### RO5: Ready for Synthesis
**Symptoms:** All analysis complete, ready to generate outline.

**Key Questions:**
- What output depth? (summary, standard, detailed)
- Include all scenes or significant only?

**Interventions:** Run `generate-outline.ts` to produce markdown output.

### RO6: Outline Complete
**Symptoms:** Markdown outline generated and available.

**Key Questions:**
- Does the outline capture the book's structure?
- Are there gaps or scenes that need manual review?

**Interventions:** Manual refinement, export, or comparison studies.

## Diagnostic Process

1. **Determine current state** by checking what files/analysis exist
2. **Identify next intervention** based on state table above
3. **Run appropriate tool** to advance to next state
4. **Validate output** before proceeding
5. **Iterate** until RO6 reached

## Available Tools

### segment-book.ts
Segments raw book text into chapters and scenes.

```bash
deno run --allow-read scripts/segment-book.ts book.txt [options]
```

**Options:**
- `--chapter-pattern <regex>` - Custom chapter detection pattern
- `--scene-break <marker>` - Custom scene break marker
- `--output <file>` - Output JSON file (default: stdout)

**Output:** JSON with chapters, scenes, line ranges, word counts.

### analyze-scene-batch.ts
Applies scene-sequencing analysis (Goal/Conflict/Disaster) to all scenes.

```bash
deno run --allow-read scripts/analyze-scene-batch.ts segments.json book.txt [options]
```

**Options:**
- `--depth quick|standard|detailed` - Analysis depth
- `--output <file>` - Output JSON file

**Output:** JSON with G/C/D analysis per scene.

### detect-genre.ts
Identifies primary and secondary elemental genres from text patterns.

```bash
deno run --allow-read scripts/detect-genre.ts book.txt [options]
```

**Options:**
- `--sample-size <n>` - Number of scenes to sample (default: 10)
- `--output <file>` - Output JSON file

**Output:** JSON with genre detection and Key Moments mapping.

### track-characters.ts
Identifies protagonist and major characters, tracks their arcs.

```bash
deno run --allow-read scripts/track-characters.ts segments.json book.txt [options]
```

**Options:**
- `--protagonist <name>` - Specify protagonist name
- `--max-secondary <n>` - Max secondary characters (default: 5)
- `--output <file>` - Output JSON file

**Output:** JSON with character arcs and key scene references.

### generate-outline.ts
Synthesizes all analysis into structured markdown outline.

```bash
deno run --allow-read --allow-write scripts/generate-outline.ts [options]
```

**Options:**
- `--segments <file>` - Segments JSON
- `--scenes <file>` - Scene analysis JSON
- `--genre <file>` - Genre detection JSON
- `--characters <file>` - Character tracking JSON
- `--depth summary|standard|detailed` - Output depth
- `--output <file>` - Output markdown file

### reverse-outline.ts (Orchestrator)
Runs full pipeline from book.txt to outline.md.

```bash
deno run --allow-read --allow-write scripts/reverse-outline.ts book.txt [options]
```

**Options:**
- `--output <dir>` - Output directory (default: ./reverse-outlines/{book-name}/)
- `--depth quick|standard|detailed` - Analysis depth
- `--protagonist <name>` - Specify protagonist
- `--genre <type>` - Override genre detection

**Output:** Directory containing outline.md and analysis/ folder with all intermediate JSON.

## Anti-Patterns

### Surface-Level Breakdown
**Problem:** Outline lists what happens but not why.
**Fix:** For each scene, ask: what structural function does this serve? What would break if it were removed?

### Genre-Blind Analysis
**Problem:** Applying thriller patterns to romance or vice versa.
**Fix:** Always detect genre first; use genre-appropriate Key Moments.

### Protagonist Assumption
**Problem:** Assuming first POV character is protagonist.
**Fix:** Track goal-attachment and arc presence across all POV characters.

### Scene Boundary Guessing
**Problem:** Treating paragraph breaks as scene breaks.
**Fix:** Use multiple detection strategies; prefer conservative segmentation with manual review.

## What You Do NOT Do

- Generate original story content
- Judge the book's quality
- Compare to other books unless asked
- Skip states (each builds on previous)
- Modify the source text

## Output Persistence

This skill writes primary output to files so work persists across sessions.

### Output Discovery

**Before doing any other work:**

1. Check for `context/output-config.md` in the project
2. If found, look for this skill's entry
3. If not found, create output at `./reverse-outlines/{book-name}/`

### Primary Output

For this skill, persist:
- **outline.md** - Final markdown outline
- **analysis/segments.json** - Chapter/scene segmentation
- **analysis/scenes.json** - Scene-by-scene G/C/D analysis
- **analysis/genre.json** - Genre detection results
- **analysis/characters.json** - Character arc tracking

### Conversation vs. File

| Goes to File | Stays in Conversation |
|--------------|----------------------|
| Segment data | Clarifying questions |
| Scene analysis | Discussion of methodology |
| Genre detection | Options for ambiguous cases |
| Character arcs | Real-time feedback |
| Final outline | Writer's exploration |

## Integration Graph

### Inbound (From Other Skills)

| Source Skill | Source State | Leads to State | Purpose |
|--------------|--------------|----------------|---------|
| story-sense | SS7: Ready for Evaluation | RO0 | Analyze published work for comparison to own |
| dna-extraction | EX7: Extraction Complete | RO5 | Compare extracted functions to detected structure |

### Outbound (To Other Skills)

| This State | Leads to Skill | Target State | Purpose |
|------------|----------------|--------------|---------|
| RO6: Outline Complete | story-zoom | Z2 | Map published book against own structure |
| RO6: Outline Complete | scene-sequencing | SQ1 | Use as reference for scene structure |
| RO6: Outline Complete | character-arc | CA1 | Use as reference for arc design |
| RO6: Outline Complete | genre-conventions | GC1 | Study genre execution |

### Complementary Skills

| Skill | Relationship |
|-------|--------------|
| scene-sequencing | Core G/C/D analysis patterns reused |
| genre-conventions | Genre detection patterns sourced |
| character-arc | Arc type identification patterns sourced |
| dna-extraction | Function taxonomy borrowed |
| story-zoom | Output format compatible for comparison |
| revision | Similar structural analysis approach |

Overview

This skill reverse-engineers published books into structured, scene-by-scene outlines for study and teaching. It exposes the story’s architecture by extracting each scene’s purpose, emotional beats, and how character goals and conflicts drive the narrative. Use it to learn craft from finished works or to create classroom-ready outlines.

How this skill works

The toolchain first detects chapters and scene breaks, then applies a Goal/Conflict/Disaster (G/C/D) analysis across scenes. It can detect elemental genre and map genre-specific Key Moments, trace protagonist and major character arcs, and finally synthesize a markdown outline at chosen depth. Each stage produces JSON artifacts so you can validate and iterate before generating the final outline.

When to use it

  • Studying narrative craft from a published novel
  • Building teaching materials or lecture outlines from an existing book
  • Reverse-engineering pacing and scene function for workshop analysis
  • Comparing structural choices across authors or genres
  • Preparing annotated examples for writers’ groups or courses

Best practices

  • Start by clarifying your study goal: craft, genre mechanics, or teaching materials
  • Run segmentation conservatively and manually review scene boundaries before analysis
  • Detect genre early to apply the correct Key Moments framework
  • Limit secondary characters tracked to the 3–5 most impactful for clarity
  • Validate intermediate JSON outputs before synthesizing the final outline

Example use cases

  • Create a detailed scene-by-scene outline of a classic novel for a university seminar
  • Extract scene functions and turning points from a bestseller to teach pacing
  • Map a protagonist’s arc across a series of novels for comparative analysis
  • Produce a short, instructor-friendly summary of structural beats for a workshop handout
  • Generate a standard-depth outline to use as a reference when revising original drafts

FAQ

Do you need the full text to start?

You can begin with a sample section, but full-text segmentation gives the most complete outline and accurate arc tracing.

Can this skill alter the source manuscript?

No. It only reads the text and writes analysis outputs; it never modifies the original source.

What output depths are available?

Summary, standard, and detailed. Choose summary for quick study, detailed for classroom handouts and close craft analysis.