verificacao-global-de-tropos-com-llm

Validates narrative trope candidates using a local LLM with global plot context.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Pre-classified trope candidates from fast local classifiers often include false positives, such as casual metaphors or literal word matches, and cannot distinguish canonical clichés from creative subversions. This Skill adds a second validation layer that uses a local LLM with the full plot synopsis to classify each candidate accurately. ## Core Features & Use Cases - Contextual Trope Validation: Combines the trope's canonical definition, the chapter snippet, and the global story synopsis into a structured prompt for a local instruct LLM (e.g., Phi-3.5-mini-instruct). - Ternary Classification: Labels each occurrence as PRESENTE (canonical cliché), AUSENTE (false positive), or VARIANTE (creative subversion), returning structured JSON with confidence and justification. - Subversion Mapping: Flags VARIANTE results in the writer's interface as creative originality and logs PRESENTE results into cliché density metrics. - Use Case: After the level-1 classifier flags "Mentor Death" in a chapter, this Skill checks the synopsis confirming Valdris is the hero's mentor, then validates whether the scene is a true trope occurrence or a subversion. ## Quick Start Run the level-2 trope validation on the candidates generated for the current chapter using the compiled story synopsis.

Frequently Asked Questions about verificacao-global-de-tropos-com-llm

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

FAQPage Schema
How do I validate narrative tropes with a local LLM?▼

Compile a prompt combining the trope's canonical definition, the chapter snippet where it was detected, and the global story synopsis, then run inference with a local instruct model. The model classifies each candidate as PRESENTE, AUSENTE, or VARIANTE with a confidence score.

How to detect creative subversions of tropes in fiction writing?▼

Use ternary LLM classification that includes the VARIANTE label for subverted, ironic, or deconstructed trope occurrences. Providing the full plot synopsis lets the model recognize when an author intentionally twists a canonical trope rather than missing it.

Why does trope detection fail without plot context?▼

Classifying a trope from an isolated sentence fails because the model cannot know character roles, such as who is the hero's mentor. Injecting the story synopsis into the prompt prevents systematic false negatives on deep narrative tropes.

What local LLM works for trope validation?▼

The workflow targets lightweight instruct models like Phi-3.5-mini-instruct running locally with temperature 0.00 for deterministic output. Small models may take up to 2 seconds per trope and can show variance with unstable prompts.

When should I not use LLM-based trope validation?▼

Do not use it for initial raw text triage or real-time keystroke-level analysis; it must run after the fast level-1 classifier, in background or on demand. For common tropes, direct relational database checks on character state can replace LLM inference.