analise-de-co-ocorrencia-e-cliches-literarios

Analyzes trope co-occurrence density against genre benchmarks and suggests optional narrative subversions.

Updated Jul 19, 2026
One-click install
npx skills add https://github.com/Ryanzucchi/Eldritch_Lich --skill analise-de-co-ocorrencia-e-cliches-literarios-ryanzucchi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: analise-de-co-ocorrencia-e-cliches-literarios
Source: https://github.com/Ryanzucchi/Eldritch_Lich/tree/main/.agents/skills/analise-de-co-ocorrencia-e-cliches-literarios
Command: npx skills add https://github.com/Ryanzucchi/Eldritch_Lich --skill analise-de-co-ocorrencia-e-cliches-literarios-ryanzucchi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Writers often cannot objectively tell whether their novel leans too heavily on familiar genre clichés or how their trope mix compares to genre norms. This Skill quantifies cliché density in a manuscript and offers optional creative subversion routes without restricting the author's artistic freedom. ## Core Features & Use Cases - Genre DNA Radar: Groups validated tropes into Character, Plot, Setting, and Theme categories and plots a radar chart comparing the book's scores against genre averages using Z-score normalization. - Cliché Co-occurrence Audit: Detects hyperconnected trope clusters (e.g., Chosen One + Ancient Prophecy + Mentor Death) and flags them when correlation exceeds the 0.85 threshold. - Proactive Subversion Suggestions: Uses a local SLM with premise-inversion prompting to propose up to 3 optional plot twists, always framed as creative alternatives rather than errors. - Use Case: A fantasy author opens the planning dashboard, sees their trope density is 25% above the genre average, and reviews two suggested deconstructions of the mentor-death trope before deciding whether to revise the chapter. ## Quick Start Analyze the validated tropes in my fantasy novel chapter, compare them against genre benchmarks on the DNA radar, and suggest optional subversion ideas for any cliché clusters found.

Frequently Asked Questions about analise-de-co-ocorrencia-e-cliches-literarios

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

FAQPage Schema
How do I detect clichés in my novel automatically?▼

Compile the validated trope list for your manuscript and scan for hyperconnected trope subgraphs known to form clichés. When accumulated correlation within a chapter exceeds the 0.85 threshold, the cluster is flagged analytically for your review.

How to compare my book's tropes against genre averages?▼

Group detected tropes into Character, Plot, Setting, and Theme categories, compute relative frequencies, and plot them on a radar chart against genre distributions. Z-score normalization shows percentage deviations such as 25% above the fantasy average.

Can AI suggest plot twists without overriding my creative choices?▼

Yes. A local SLM uses premise-inversion prompting to propose up to three optional subversion routes per cliché cluster. Suggestions are presented as creative alternatives in the toolbar, and the final aesthetic decision always remains with the author.

What are the limitations of trope-based cliché detection?▼

Trope co-occurrence analysis is purely statistical and cannot judge narrative quality or originality of execution. It must never block saving or display punitive error messages, since common tropes are valid dramatic structures readers enjoy.

When should I not use cliché density analysis?▼

Avoid it for simple lexical searches or formatting checks, and never use it to impose rigid mechanical constraints on the writer. It is designed for analytical dashboards and brainstorming support, not enforcement of style rules.