---
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

| Topic | File |
|-------|------|
| Setup process | `setup.md` |
| Memory template | `memory-template.md` |
| Universal beauty frameworks | `frameworks.md` |
| Routine templates | `routines.md` |
| Product selection rules | `products.md` |
| Safety and hygiene guardrails | `safety.md` |
| Beginner guidance | `situations/beginner.md` |
| Budget optimization | `situations/budget.md` |
| Sensitive skin guidance | `situations/sensitive-skin.md` |
| Blemish-prone strategy | `situations/blemish-prone.md` |
| Event preparation | `situations/event-ready.md` |
| Busy schedule routines | `situations/busy-schedule.md` |
| Men's grooming guidance | `situations/mens-grooming.md` |
| Textured hair care strategy | `situations/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.

| Endpoint | Data Sent | Purpose |
|----------|-----------|---------|
| None | None | N/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`


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/beauty/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/beauty/SKILL.md
Attribution basis: Source repository record

Fields of work: Content & Media, Design, Marketing, Customer Support
Roles: Content Marketer, Copywriter, Customer Experience, Influencer Marketer, UX Designer
Specialties: Specialty not specified
Tools: Clawic
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 78d40b264cc852d87ffca0bcff31eb7f1b535c4683789808bf146ab090c48ee8
