soc-classification

Classify stream of consciousness passages in literary texts using a defined taxonomy.

Updated Mar 13, 2026
One-click install
npx skills add https://github.com/apjanco/penelope --skill soc-classification
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: soc-classification
Source: https://github.com/apjanco/penelope/tree/main
Command: npx skills add https://github.com/apjanco/penelope --skill soc-classification

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming task of identifying and classifying stream of consciousness (SoC) passages in literary texts, enabling deeper analysis and dataset creation.

Core Features & Use Cases

  • Exhaustive Detection: Identifies all instances of SoC, not just samples.
  • Detailed Classification: Categorizes passages by type (e.g., Interior Monologue, Soliloquy) based on a robust taxonomy.
  • Use Case: Researchers can use this Skill to annotate entire novels for SoC techniques, building structured datasets for computational literary studies or training AI models on narrative voice.

Quick Start

Use the soc-classification skill to classify stream of consciousness passages in the provided text.

Frequently Asked Questions about soc-classification

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

FAQPage Schema
How do I identify stream of consciousness passages in literary texts?

This Skill automates exhaustive detection of stream of consciousness passages in literary texts using LLM analysis and a defined taxonomy to locate every instance within the provided text.

What is the best way to classify narrative voice techniques like interior monologue in novels?

Classifying narrative voice techniques like interior monologue is done using this Skill, which categorizes stream of consciousness passages by type based on a robust literary taxonomy.

Can I use LLM analysis to build structured datasets for computational literary studies?

You can use this Skill's LLM analysis to build structured datasets for computational literary studies by annotating entire novels for stream of consciousness techniques and generating structured research outputs.

Do I need an LLM integration to classify stream of consciousness passages?

An LLM integration is required to classify stream of consciousness passages because this Skill relies on LLM analysis to perform exhaustive detection and detailed taxonomy classification.

What limitations exist when automating literary text classification for stream of consciousness?

Automating literary text classification for stream of consciousness requires a defined SKILL.md for taxonomy and classification rules, meaning the Skill depends on predefined structural guidelines rather than open-ended interpretation.