classify-lifestyles

Name: classify-lifestyles
Availability: InStock
Author: random-lives

Classify biographical stories into five lifestyle categories with FLAG prefixes.

Updated Dec 27, 2025

Search Tags:#taxonomy #classify #biography #data-labeling #lifestyle #occupation #narrative-analysis

Ready to run

npx skills add https://github.com/random-lives/random-lives --skill classify-lifestyles

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: classify-lifestyles
Source: https://github.com/random-lives/random-lives/tree/main/.claude/skills/classify-lifestyles
Command: npx skills add https://github.com/random-lives/random-lives --skill classify-lifestyles

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers automatically classify the economic lifestyle categories of biographical stories to improve filtering and visualization.

Core Features & Use Cases

Five-category taxonomy: Hunter-Gatherer, Pastoralist, Farmer, Rural Non-Farm, Urban.
Context-aware labeling: Uses occupation cues and narrative context to determine primary lifestyle.
Use Case: Apply to _lives/ and _lives_pending/ stories to tag each person with a single lifestyle label, with an optional FLAG for uncertain cases.

Quick Start

Classify a biography in the dataset by running the classifier on the target entry, prompting for lifestyle determination.

Frequently Asked Questions about classify-lifestyles

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

FAQPage Schema

How do I classify biographies by lifestyle for a research dataset?▼

Lifestyle classification assigns each biography a single category from a five-tier taxonomy: Hunter-Gatherer, Pastoralist, Farmer, Rural Non-Farm, or Urban. It analyzes narrative context and occupation cues to determine the primary economic lifestyle for research visualization.

How does narrative analysis determine the correct occupation taxonomy label?▼

Narrative analysis determines the occupation taxonomy label by examining occupation cues and story context within the biography. It enforces a single authoritative lifestyle value per entry while preserving the original data for traceability.

Can I flag uncertain lifestyle classifications in my data labeling workflow?▼

Yes, you can flag uncertain lifestyle classifications during data labeling. The classifier applies a FLAG prefix to entries where the lifestyle category is ambiguous, ensuring uncertain cases are marked for review while maintaining a single label per biography.

What is the best way to label biographical stories with a single lifestyle category?▼

The best way to label biographical stories is using a five-category lifestyle taxonomy that enforces a single authoritative value per entry. This prevents duplicate or conflicting labels by determining the primary lifestyle from narrative context.

Does the lifestyle taxonomy classifier work with pending biography narratives?▼

Yes, the lifestyle taxonomy classifier works with pending biography narratives. It processes entries in both `_lives/` and `_lives_pending/` directories, tagging each person with a lifestyle label regardless of their dataset approval status.