emotion_check

Analyzes emotional expression in a chapter and returns prioritized edit recommendations in JSON format.

1|Updated Jan 28, 2026

Search Tags:#storytelling #character #analysis #fiction #emotion #emotional-arcs

Ready to run

npx skills add https://github.com/QGG886/novel_creator --skill emotion-check

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: emotion_check
Source: https://github.com/QGG886/novel_creator/tree/main/.opencode/skills/emotion_check
Command: npx skills add https://github.com/QGG886/novel_creator --skill emotion-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps writers evaluate and improve emotional expression across scenes by analyzing overall mood, character feelings, emotional transitions, and emotional buildup, and by proposing concrete edits.

Core Features & Use Cases

Audit emotional coverage across chapters to ensure consistency with character arcs.
Detect mismatches between dialogue, action, and inner states, and suggest targeted revisions.
Provide actionable prompts to deepen emotional resonance and reader engagement.

Quick Start

Analyze the emotional dynamics of the provided chapter and return a prioritized plan of edits to enhance authenticity and impact.

Frequently Asked Questions about emotion_check

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

FAQPage Schema

How do I analyze emotional expression in a fiction chapter to ensure consistency?▼

To analyze emotional expression, evaluate the overall mood, character feelings, emotional transitions, and buildup across scenes. This process detects mismatches between dialogue, action, and inner states, ensuring emotional consistency with character arcs throughout the fiction chapter.

What is the best way to fix mismatches between character dialogue and emotional pacing?▼

The best way to fix mismatches between dialogue and emotional pacing is to audit emotional coverage across scenes and apply targeted revisions. This approach provides actionable prompts to deepen resonance and aligns character inner states with narrative pacing.

How do I generate actionable revision suggestions for character emotional arcs?▼

To generate actionable revision suggestions for character emotional arcs, analyze the emotional dynamics of the provided chapter. This returns a prioritized plan of concrete edits designed to enhance authenticity and emotional impact for readers.

Can I use structured JSON inputs to evaluate emotional realism in storytelling?▼

Yes, you can use structured JSON inputs to evaluate emotional realism in storytelling. The analysis processes varying emotional tones across character development and dialogue to output detailed action-oriented recommendations for improving fiction scenes.

When do I need to audit emotional coverage across my fiction chapters?▼

You need to audit emotional coverage across fiction chapters when ensuring consistency with character arcs or detecting mismatches between dialogue and inner states. This evaluation maintains emotional realism and strengthens reader engagement throughout the narrative.