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beautybeauty 效率

Agent Skill

beauty 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

11,904

周安装

496

GitHub Stars

公开资料未说明

下载量

3,968
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:beauty(beauty 效率)
来源仓库:https://github.com/ivangdavila/beauty
安装命令:
openclaw skills install beauty
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install beauty

简介

根据皮肤类型、预算和日程安排,制定实用的美容程序,包括护肤基础知识、化妆策略和护发计划。

SKILL.md

name
Beauty
slug
beauty
version
1.0.0
homepage
https://clawic.com/skills/beauty
description
Build practical beauty routines with skincare basics, makeup strategy, and hair care plans tailored to skin type, budget, and schedule.
changelog
Initial release with personalized beauty routines, safety guardrails, and situation-specific guidance for daily and event looks.
metadata
{"clawdbot":{"emoji":"💄","requires":{"bins":[]},"os":["linux","darwin","win32"]}}

Setup

On first use, read setup.md for integration guidelines and memory initialization.

When to Use

User needs help with skincare, makeup, haircare, or grooming decisions. Agent creates practical routines, adapts for budget and lifestyle constraints, and provides safe product and technique guidance.

Architecture

Memory lives in ~/beauty/. See memory-template.md for structure.

~/beauty/
├── memory.md         # Status, profile, constraints, routines, notes
├── routines/         # Saved routine versions by context
├── products/         # Product shortlists and replacements
└── notes/            # Event plans and progress snapshots

Quick Reference

TopicFile
Setup processsetup.md
Memory templatememory-template.md
Universal beauty frameworksframeworks.md
Routine templatesroutines.md
Product selection rulesproducts.md
Safety and hygiene guardrailssafety.md
Beginner guidancesituations/beginner.md
Budget optimizationsituations/budget.md
Sensitive skin guidancesituations/sensitive-skin.md
Blemish-prone strategysituations/blemish-prone.md
Event preparationsituations/event-ready.md
Busy schedule routinessituations/busy-schedule.md
Men's grooming guidancesituations/mens-grooming.md
Textured hair care strategysituations/textured-hair.md

Core Rules

1. Build Context Before Recommending

Lock profile first:

  • Skin profile: oily, dry, combo, sensitive, reactive zones
  • Hair profile: texture, porosity, scalp tendencies, styling habits
  • Constraints: budget, time per day, fragrance preferences, climate
  • Goal: natural look, long-wear glam, skin-first, hair repair, or event prep

2. Safety Before Aesthetics

Always run safety checks before product or routine changes:

  • Patch-test all new actives and complexion products
  • Avoid high-irritation stacks in the same routine
  • Escalate to medical care for persistent pain, swelling, or severe reactions
  • Prioritize sunscreen and barrier support when using exfoliants or retinoids

3. Use Minimum Viable Routines First

Start with a simple baseline that can actually be sustained:

  • AM baseline: cleanse (if needed), hydrate, protect
  • PM baseline: cleanse, treat (optional), moisturize
  • Add one new variable at a time so results are interpretable

4. Explain Order, Trade-offs, and Timeline

For every recommendation, include:

  • Order of application
  • Expected timeline for visible change
  • What to remove if budget or time is constrained
  • What signs mean the plan should be adjusted

5. Prefer Category Logic Over Brand Dependence

Recommend categories and selection criteria first (finish, texture, concentration, compatibility). Only name specific products when the user explicitly asks for examples.

6. Match Real-World Context

Adjust recommendations for context instead of idealized routines:

  • Climate and season
  • Work environment and dress code
  • Activity level and sweat exposure
  • Cultural norms and personal comfort boundaries

7. Store Preferences Only with Explicit Confirmation

Before writing to ~/beauty/memory.md, ask for explicit confirmation. Store only durable preferences and constraints that the user wants remembered.

Common Traps

  • Recommending too many products at once -> impossible to identify what caused irritation or improvement.
  • Copy-pasting influencer routines -> poor fit for the user's skin, budget, and schedule.
  • Ignoring finish compatibility -> pilling, separation, and patchy makeup wear.
  • Treating all acne as one problem -> wrong intensity and unnecessary irritation.
  • Solving texture with more coverage only -> temporary camouflage without routine correction.
  • Suggesting expensive products first -> lower adherence and higher frustration.

External Endpoints

This skill makes NO external network requests.

EndpointData SentPurpose
NoneNoneN/A

No data is sent externally.

Security & Privacy

Data that leaves your machine:

  • Nothing. This skill is instruction-only and local by default.

Data stored locally:

  • Only profile and routine context the user explicitly asks to save.
  • Stored in ~/beauty/memory.md.

This skill does NOT:

  • Access internet APIs or third-party services.
  • Read files outside ~/beauty/ for storage.
  • Infer private preferences from silence.
  • Write memory without explicit confirmation.
  • Modify its own core instructions or auxiliary files.

Trust

This is an instruction-only skill focused on beauty routines and guidance. No credentials are required and no external service access is needed.

Related Skills

Install with clawhub install <slug> if user confirms:

  • outfits — outfit strategy and style coordination
  • habits — behavior systems for consistent routines
  • fitness — movement and recovery that affect skin and energy
  • nutrition — food pattern guidance that supports long-term skin health
  • sleep — sleep optimization for recovery and appearance stability

Feedback

  • If useful: clawhub star beauty
  • Stay updated: clawhub sync

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.93%
按下载量换算3,410

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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