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jacobluxj

Online-to-Offline-O2O-marketing

by JacobLUXJ · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
110
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0
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1
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Install in OpenClaw
/install online-to-offline-o2o-marketing
Description
O2O营销实战顾问。基于o2o的理论框架,结合当下最新趋势,提供O2O概念理解、问题诊断和实施建议。 适用场景: 1. 用户主动询问O2O相关问题(如"什么是O2O"、"怎么做O2O") 2. 用户需要O2O问题诊断(如"我们的O2O哪里有问题") 3. 用户需要O2O实施建议(如"我们想转型O2O怎么做") 4...
Usage Guidance
This skill appears coherent and low-risk: it only contains marketing guidance and asks the agent to run web searches for up-to-date examples. Before installing, confirm whether the agent's web_search tool sends queries to an external service you trust; avoid pasting proprietary or sensitive business data into prompts if you do not want it sent to external search services. If you need stricter guarantees, require the skill be limited to offline knowledge or vetted case libraries.
Capability Analysis
Type: OpenClaw Skill Name: online-to-offline-o2o-marketing Version: 1.0.0 The skill bundle is a legitimate marketing consultancy tool focused on Online-to-Offline (O2O) business strategies. The SKILL.md file contains educational frameworks, industry definitions, and behavioral guidelines for the AI agent to act as an O2O consultant, with no evidence of malicious code, data exfiltration, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name and description describe an O2O marketing consultant; the SKILL.md contains marketing frameworks, diagnostics, tactics, and a guidance workflow that match that purpose. Nothing requested (no env vars, no binaries, no installs) is unrelated to the stated goal.
Instruction Scope
Runtime instructions focus on diagnosing user business context, applying O2O frameworks, using case libraries, and (when needed) performing web searches for up-to-date examples. The instructions do not ask the agent to read local files, access credentials, or transmit unrelated system data.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk or installed during setup.
Credentials
The skill declares no required environment variables, credentials, or config paths. Its stated behavior (including web searches for examples) does not require secrets or external credentials.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent presence or modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install online-to-offline-o2o-marketing
  3. After installation, invoke the skill by name or use /online-to-offline-o2o-marketing
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Online-to-Offline-O2O-marketing Skill v1.0.0 - 提供基于O2O理论与2026年趋势的营销实战顾问能力,覆盖O2O概念、问题诊断、实施建议等多业务场景。 - 整合两本核心著作的O2O全方法论,包含经典概念、要素、模型、闭环、价值、风险及典型误区详解。 - 强调客户体验导向与线上线下闭环设计,提供具体行业案例和最新本地生活、私域、短视频等应用趋势。 - 支持结合实时联网查找行业最新案例和数据分析,输出覆盖时效性与实践性的O2O转型建议。 - 适用于企业战略咨询、O2O转型指导、业务运营优化等用途。
Metadata
Slug online-to-offline-o2o-marketing
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Online-to-Offline-O2O-marketing?

O2O营销实战顾问。基于o2o的理论框架,结合当下最新趋势,提供O2O概念理解、问题诊断和实施建议。 适用场景: 1. 用户主动询问O2O相关问题(如"什么是O2O"、"怎么做O2O") 2. 用户需要O2O问题诊断(如"我们的O2O哪里有问题") 3. 用户需要O2O实施建议(如"我们想转型O2O怎么做") 4... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.

How do I install Online-to-Offline-O2O-marketing?

Run "/install online-to-offline-o2o-marketing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Online-to-Offline-O2O-marketing free?

Yes, Online-to-Offline-O2O-marketing is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Online-to-Offline-O2O-marketing support?

Online-to-Offline-O2O-marketing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Online-to-Offline-O2O-marketing?

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

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