oh-story-short-analyze

Analyzes short stories through evidence-based scene chains, emotion curves, and twist audits.

677|112|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/LiPu-jpg/Openwrite_skill --skill oh-story-short-analyze
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oh-story-short-analyze
Source: https://github.com/LiPu-jpg/Openwrite_skill/tree/main/tools/runtime_skills/oh-story-short-analyze
Command: npx skills add https://github.com/LiPu-jpg/Openwrite_skill --skill oh-story-short-analyze

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Writers and analysts often struggle to understand why a short story works structurally. This Skill breaks down a legally provided short story into scene-level causal chains, character functions, information release patterns, emotional arcs, and twist fairness, producing transferable writing techniques grounded in textual evidence.

Core Features & Use Cases

  • Scene Causal Chain Mapping: Segments the story by scene changes and records each scene's goal, obstacle, choice, information shift, and emotional state, flagging weak causality between scenes.
  • Six-Dimension Diagnosis: Evaluates the opening promise, character functions, information control, emotional pacing, twist fairness, and ending payoff using the method in references/method.md.
  • Transferable Technique Extraction: Outputs writing formulas with original-text evidence, applicable conditions, failure risks, and candidate variants for your own project, without reproducing the original's unique expression.
  • Use Case: Paste a viral short story and ask for a structural teardown to understand its hook, mid-story escalation, and twist setup before writing your own piece in the same genre.

Quick Start

Use the oh-story-short-analyze skill to perform an evidence-based structural teardown of the attached short story, covering its scene chain, emotion curve, and twist audit.

Frequently Asked Questions about oh-story-short-analyze

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze the structure of a short story with AI?

Provide the complete story text and this Skill segments it by scene changes, mapping each scene's goal, obstacle, choice, and emotional shift. It then outputs a causal chain diagnosis, emotion curve, twist audit, and transferable writing modules with cited evidence.

What does a short story teardown include?

The teardown covers six dimensions: opening promise, character functions, information release timing, emotional pacing, twist fairness with re-readable clues, and ending payoff. Each judgment cites scene or paragraph evidence and separates facts from inferences.

Can this analyze long novels or multi-volume works?

No, it is designed for short stories. If the work relies on multiple volumes, staged progression, or many chapters, the Skill recommends switching to the long-form analysis skill instead of truncating the structure to fit a short-story template.

Does the analysis work for stories without a plot twist?

Yes. Stories without twists are not judged as structurally deficient. Romance, comedy, growth, and retribution stories can be validated through relationship change and emotional settlement instead of reversal mechanics.

Will the analysis copy or reproduce the original story's content?

No. The Skill only extracts functional mechanisms and avoids large quotations, full plot summaries, or unique expressions. Proper nouns and signature scenes are used only to locate evidence, never in the transferable writing suggestions.