How does the scoring system work?

The tool uses a weighted formula across four dimensions—conflict, emotion, anticipation, and paragraph purpose—to generate a score from 0 to 100.

Can this skill automatically rewrite my story?

It provides detailed suggestions and a rewriting demonstration for the most problematic sections; for full automated fixes, it is best paired with the 'humanize-text' skill.

What does this skill define as 'boring' narration?

It refers to 'chronological event listing' (known as '流水账') where a story lists events without emotional depth, conflict, or elements that build reader anticipation.

Is this tool only for Chinese fiction?

While it was developed for the Snowflake fiction workflow, its core principles of conflict, tension, and emotional engagement apply to all forms of narrative fiction.

How do I activate the boring detection?

You can use the direct command '/boring-detect [text]' or natural language triggers like 'check if this is boring' or 'is this too flat?'

Boring Narrating Detector

Name: Boring Narrating Detector
Author: hestudy

byhestudy

•

Content Management

Analyzes fiction manuscripts to identify and fix monotonous narration by detecting lack of conflict, emotion, and anticipation.

The Boring Narrating Detector is a specialized tool for fiction writers and editors designed to eliminate 'boring' prose—the most common reason for reader drop-off in web novels. It performs a rigorous four-dimensional scan of text to identify passages that lack narrative tension, emotional resonance, or meaningful stakes. By providing a weighted quality score and specific rewriting demonstrations, this skill helps authors transform flat, chronological event-listing into compelling storytelling that keeps readers engaged and eager for the next chapter.

Key Features

01Four-dimensional narrative scanning (Conflict, Emotion, Anticipation, and Purpose)

02Seamless integration with quality-check and humanization workflows

032 GitHub stars

04Weighted scoring system (0-100) based on narrative engagement metrics

05Actionable rewriting formulas and specific improvement suggestions for each detected issue

06Precise paragraph-level identification of problematic 'boring' passages

Use Cases

01Auditing web novel chapters before publication to ensure high reader retention

02Refining AI-generated fiction to remove robotic event-listing and add emotional depth

03Identifying 'filler' content that slows down plot progression and lacks stakes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hestudy/snowflake-fiction boring-detect

For use in Claude.ai and ChatGPT

Key Features

01Four-dimensional narrative scanning (Conflict, Emotion, Anticipation, and Purpose)

02Seamless integration with quality-check and humanization workflows

032 GitHub stars

04Weighted scoring system (0-100) based on narrative engagement metrics

05Actionable rewriting formulas and specific improvement suggestions for each detected issue

06Precise paragraph-level identification of problematic 'boring' passages

Use Cases

01Auditing web novel chapters before publication to ensure high reader retention

02Refining AI-generated fiction to remove robotic event-listing and add emotional depth

03Identifying 'filler' content that slows down plot progression and lacks stakes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hestudy/snowflake-fiction boring-detect

For use in Claude.ai and ChatGPT