beauty_skill

This skill builds practical beauty routines tailored to your skin type, budget, and schedule, delivering safe, easy skincare, makeup, and hair care guidance.
  • Python

2.5k

GitHub Stars

16

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill beauty

  • _meta.json269 B
  • beginner.md803 B
  • blemish-prone.md818 B
  • budget.md835 B
  • busy-schedule.md728 B
  • event-ready.md776 B
  • frameworks.md1.6 KB
  • memory-template.md1.2 KB
  • mens-grooming.md826 B
  • products.md1.5 KB
  • routines.md1.2 KB
  • safety.md1.5 KB
  • sensitive-skin.md812 B
  • setup.md1.8 KB
  • SKILL.md5.6 KB
  • textured-hair.md847 B

Overview

This skill builds practical beauty routines combining skincare basics, makeup strategy, and hair care plans tailored to a user's skin type, budget, and daily schedule. It focuses on sustainable, safe, and context-aware recommendations that prioritize skin health and real-world constraints. The goal is a minimum-viable routine that you can maintain and adapt over time.

How this skill works

I gather a small set of profile details (skin and hair type, constraints, goals, and environment) before proposing routines. Recommendations emphasize order of application, safety checks, trade-offs, and timelines for expected results. Memory is stored locally only with your explicit permission so future plans stay consistent without leaking data.

When to use it

  • You need a simple, sustainable AM/PM skincare routine.
  • You want a makeup plan that fits your finish, longevity, and climate needs.
  • You need a hair-care strategy based on texture and porosity.
  • You’re on a strict budget and want prioritized product categories.
  • You have a time-constrained schedule and need a fast grooming plan.

Best practices

  • Lock profile details first: skin, hair, constraints, and goals before recommending products.
  • Start with minimum-viable routines and add one new product at a time to track effects.
  • Run patch tests for new actives and avoid high-irritation stacks in the same routine.
  • Prioritize sunscreen and barrier support when using exfoliants or retinoids.
  • Recommend category logic over brands; name products only when explicitly requested.

Example use cases

  • Create a 5-minute AM routine for oily, combination skin with a tight budget.
  • Design an event-ready makeup and hair plan that balances long wear and quick touch-ups.
  • Build a sensitive-skin evening routine that introduces retinoids safely over weeks.
  • Outline a textured-hair maintenance schedule with affordable styling and deep-conditioning options.
  • Optimize a busy professional’s grooming plan with prioritized steps and time-saving swaps.

FAQ

No. It makes no external network requests and stores profile data locally only if you explicitly ask it to save memory.

How quickly will I see results from a routine change?

Timelines vary: hydration and barrier improvements can be noticeable in days to weeks; acne treatments and retinoids take 6–12 weeks for measurable change. Every recommendation includes an expected timeline.

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