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hanxueyuan

Optimizely

by hanxueyuan · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install optimizely
Description
领先的数字体验优化和A/B测试平台，支持全渠道实验驱动的增长与内容个性化，整合CMS和电商能力。
README (SKILL.md)

Optimizely

源起

领先的数字体验优化（DXP）和A/B测试平台，2010年创立于旧金山，帮助企业在网站、移动应用和全渠道进行实验驱动的增长策略，2020年收购EPiServer后转型为完整的数字体验平台。

商业框架

2010年Dan Siroker（前Google员工，曾参与Obama 2008竞选的A/B测试）和Pete Koomen在旧金山创立；2013年推出全栈实验（Full Stack Experimentation）；2016年E轮融资$5,700万，估值超$5亿；2020年收购瑞典CMS平台EPiServer（$10亿+交易），从A/B测试公司转型为DXP；2021年推出Optimizely One（AI驱动的营销操作系统）；2023年引入生成式AI内容优化功能。

护城河构成

SaaS订阅：按网站流量和实验数量分tier计费（Growth/Enterprise/Elite）；DXP平台（收购EPiServer后）整合CMS、电子商务和实验能力，形成全栈解决方案；AI驱动的内容推荐和个性化是新的溢价功能模块；年度合同价值通常在$50K-$500K之间。

数据维度分析

实验平台积累的海量A/B测试数据（超过10万次实验结果）形成知识库壁垒——哪些改动有效、哪些无效，这些数据反过来优化推荐引擎；收购EPiServer后拥有CMS+实验的完整stack，客户无需在Contentful/Optimizely之间做选择；全栈实验能力（客户端+服务端）是竞争对手Google Optimize（已关闭）和AB Tasty难以匹配的。

隐藏的细节

超过10,000家企业客户（包括Netflix、Nike、H&M）；2024年估计营收约$4亿；收购EPiServer后拥有约40万CMS站点。

Usage Guidance
This skill appears safe to install from a security perspective. It is a static informational note about Optimizely, so users should treat it as background business analysis rather than an integration that performs actions or accesses data.
Capability Analysis
Type: OpenClaw Skill Name: optimizely Version: 1.0.0 The skill bundle contains purely informational content regarding the company Optimizely, its history, and business model. There is no executable code, no network requests, and no instructions that could be interpreted as prompt injection or malicious behavior in SKILL.md or _meta.json.
Capability Assessment
✓ Purpose & Capability
The artifact is a coherent company/platform overview for Optimizely and matches the stated purpose of learning about its competitiveness, investment value, industry position, and peers.
✓ Instruction Scope
The skill contains informational content only and does not instruct the agent to run commands, access accounts, call APIs, change data, or override user intent.
✓ Install Mechanism
There is no install specification and no code files, so there is no artifact-backed install-time execution or dependency risk.
✓ Credentials
The skill requests no binaries, environment variables, configuration paths, credentials, network permissions, or local file access.
✓ Persistence & Privilege
The artifacts show no persistence, background behavior, privileged access, credential use, or data retention mechanism.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install optimizely
  3. After installation, invoke the skill by name or use /optimizely
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Optimizely skill released – provides key insights into the company, its platform evolution, and business value. - Introduces Optimizely's history, including its transition from A/B testing to a full digital experience platform after acquiring EPiServer. - Outlines commercial structure, pricing tiers, and major funding milestones. - Details core competitive advantages such as SaaS subscription model, integrated DXP, and AI-driven features. - Highlights unique data assets and knowledge base built from extensive experimentation. - Includes key market indicators: major customers, estimated revenue, and CMS reach as of 2024.
Metadata
Slug optimizely
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Optimizely?

领先的数字体验优化和A/B测试平台，支持全渠道实验驱动的增长与内容个性化，整合CMS和电商能力。 It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Optimizely?

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

Is Optimizely free?

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

Which platforms does Optimizely support?

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

Who created Optimizely?

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

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