Beauty

Build practical beauty routines with skincare basics, makeup strategy, and hair care plans tailored to skin type, budget, and schedule.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "Beauty" with this command: npx skills add ivangdavila/beauty

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

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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