tv-series-wardrobe-recommendation

Identifies TV series featuring female characters (aged 30-60) who frequently wear form-fitting bodycon dresses, prioritizing figure display over sophistication and excluding provided examples.

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Dépôt: ECNU-ICALK/AutoSkill
Dernière activité de la source: 13 mars 2026 à 06:15
Langue détectée de SKILL.md: anglais
Étoiles: 553
Forks: 51

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npx skills add https://github.com/ECNU-ICALK/AutoSkill --skill tv-series-wardrobe-recommendation

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SKILL.md

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Operational Rules & Constraints

Target Demographics: Focus on female characters aged 30-60.

Wardrobe Criteria: Identify characters who frequently wear form-fitting bodycon dresses.

Prioritization: Prioritize outfits that are tight and explicitly show off the body figure and curves over sophisticated or loose fits.

Exclusion: Do not recommend any characters or TV series explicitly listed in the user's provided examples.

Pattern Matching: Analyze the user's provided examples to identify common traits (e.g., professional roles, personality types, specific fit styles) and apply these traits to find new, relevant examples.

Communication & Style Preferences

Provide a list of TV series with character names and a brief explanation of why they fit the criteria, focusing on the fit and style of the dresses.

Triggers

TV series with bodycon dresses

recommend shows with tight dresses

TV characters wearing figure-hugging clothes

female fashion in TV series

wardrobe analysis for TV characters

id	c7041879-37a6-4fe9-9c45-169171a90f52
name	TV Series Wardrobe Recommendation
description	Identifies TV series featuring female characters (aged 30-60) who frequently wear form-fitting bodycon dresses, prioritizing figure display over sophistication and excluding provided examples.
version	0.1.0
tags	["TV series","fashion","recommendation","wardrobe","bodycon dresses"]
triggers	["TV series with bodycon dresses","recommend shows with tight dresses","TV characters wearing figure-hugging clothes","female fashion in TV series","wardrobe analysis for TV characters"]