← Back to Skills Marketplace
hanxueyuan

Aveeno

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
61
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install aveeno
Description
Aveeno is a Johnson & Johnson oat-based skincare brand known for dermatologist-recommended, science-backed natural products in moisturizing, sun care, and ba...
README (SKILL.md)

Aveeno

历史时间线

  • 1945年：Musher Brothers在纽约创立，最初研发燕麦浴产品
  • 1945年：发现燕麦提取物对皮肤镇静效果的科学价值
  • 1999年：被强生集团收购
  • 2000年代：产品线扩展至日常护肤、防晒、婴儿护理
  • 2010年代：成为美国皮肤科医生推荐最多的日常护肤品牌之一
  • 2020年代：推出Clean Beauty和可持续发展产品线

商业模式

强生旗下天然护肤品牌，核心成分为燕麦。产品线涵盖日常保湿、防晒、婴儿护理、身体清洁。在北美药妆渠道（CVS、Walgreens）占据领导地位。年收入估计约$5-8亿。

护城河分析

燕麦成分的独家配方专利，皮肤科医生推荐建立的专业信任度，强生集团的研发和渠道支持，'天然+科学'的双重定位。

关键数据

1945年创立，1999年加入强生，美国皮肤科推荐率最高的日常护肤品牌之一

有趣事实

燕麦护肤的科学原理是：燕麦中的β-葡聚糖具有天然的抗炎和保湿功能。AVEENO是最早将这一科学发现商业化的品牌——比'天然护肤'成为潮流早了几十年。

Usage Guidance
This skill appears to be a simple informational/marketing-style document about Aveeno and is internally coherent. Before installing, consider whether you trust the (unknown) source for factual accuracy — the skill has no code, no network/install behavior, and asks for no credentials, so the primary concern would be misinformation rather than a security risk. If you need authoritative data, verify facts against official Aveeno/Johnson & Johnson sources.
Capability Analysis
Type: OpenClaw Skill Name: aveeno Version: 1.0.0 The skill bundle contains purely informational and educational content regarding the Aveeno brand history, business model, and market analysis. There is no executable code, network activity, or prompt injection attempts within SKILL.md or _meta.json, and the content aligns entirely with its stated purpose.
Capability Assessment
✓ Purpose & Capability
Name, description, and SKILL.md content are consistent: the skill provides brand history, market/ingredient analysis, and facts about Aveeno. It declares no extra capabilities or resources that would be unexpected for an informational/analysis skill.
✓ Instruction Scope
SKILL.md contains content and a small 'read_when' guidance for when to present the material; it does not instruct the agent to read local files, access environment variables, call external endpoints, or transmit unrelated data.
✓ Install Mechanism
There is no install specification and no code files. Nothing is written to disk or downloaded by the skill itself.
✓ Credentials
The skill declares no required environment variables, credentials, or config paths. No secrets or unrelated service tokens are requested.
✓ Persistence & Privilege
The skill is not set to always:true and does not request elevated or persistent presence. It does not modify other skills or system config.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install aveeno
  3. After installation, invoke the skill by name or use /aveeno
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Aveeno skill 1.0.0 – Brand Insight Launch - 新增技能，介绍强生旗下燕麦护肤品牌Aveeno的历史、商业模式与市场地位 - 涵盖天然成分（燕麦）在皮肤护理及药妆领域的科学和应用分析 - 提供品牌时间线及关键发展节点 - 分析护城河与竞争优势，如专利配方及医生背书 - 分享有趣的品牌及科学事实
Metadata
Slug aveeno
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Aveeno?

Aveeno is a Johnson & Johnson oat-based skincare brand known for dermatologist-recommended, science-backed natural products in moisturizing, sun care, and ba... It is an AI Agent Skill for Claude Code / OpenClaw, with 61 downloads so far.

How do I install Aveeno?

Run "/install aveeno" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Aveeno free?

Yes, Aveeno is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Aveeno support?

Aveeno is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Aveeno?

It is built and maintained by hanxueyuan (@hanxueyuan); the current version is v1.0.0.

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments