coco-beauty-consultant

Generate personalized skincare and makeup routines from user skin profiles.

Updated Mar 27, 2026
One-click install
npx skills add https://github.com/goodstoriesworld/coco-agent-skills --skill coco-beauty-consultant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: coco-beauty-consultant
Source: https://github.com/goodstoriesworld/coco-agent-skills/tree/main/coco-beauty-consultant
Command: npx skills add https://github.com/goodstoriesworld/coco-agent-skills --skill coco-beauty-consultant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build modular beauty consultation systems that collect user profiles, analyze skin characteristics, and generate personalized skincare and makeup routines with ingredient reasoning and safety guardrails.

Core Features & Use Cases

  • Structured Intake: Collects a detailed user profile to tailor recommendations across skin types, climates, and concerns.
  • Personalization Engine & Ingredient Reasoning: Maps concerns to actives, performs climate adjustments, detects conflicts, and explains rationale.
  • Safe Output & Output Card: Produces a clear routine card with steps, timing, and safety disclaimers for real-world use.

Quick Start

Provide a user profile and climate data to generate a complete morning and evening skincare routine tailored to their skin type and concerns.

Frequently Asked Questions about coco-beauty-consultant

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

FAQPage Schema
How do I generate a personalized skincare routine based on user skin profiles?

Generate personalized skincare routines by supplying a structured user profile containing skin type, climate, and concerns. The system maps concerns to actives, applies climate adjustments, checks conflicts, and outputs a structured routine card with morning and evening steps.

What is ingredient conflict checking in personalized skincare recommendations?

Ingredient conflict checking is a safety mechanism that analyzes mapped actives to prevent recommending incompatible ingredients within the same personalized skincare routine. It ensures the generated routine avoids adverse reactions while addressing user concerns.

How do I build a beauty advisor that adjusts skincare routines for different climates?

Build a climate-aware beauty advisor by feeding climate data alongside the user profile into the personalization engine. The system applies climate adjustments to the concern-to-ingredient mapping, modifying the tailored skincare routine to suit environmental factors.

Can I use this skincare personalization engine for budget-aware recommendations?

Yes, you can use this personalization engine for budget-aware recommendations. The system accepts budget parameters within the user intake profile and adjusts the generated skincare and makeup routines to fit the specified financial constraints.

What safety guardrails are included when generating makeup and skincare routines?

Safety guardrails include ingredient conflict detection and safety disclaimers integrated into the final formatted routine card. These ensure the personalized skincare and makeup routines handle sensitivities correctly and provide clear usage precautions.