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fengzie

Mobazha Storefront CRO

by fengzie · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
92
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Install in OpenClaw
/install mobazha-storefront-cro
Description
Analyze and optimize your Mobazha storefront for higher conversion rates. Use when your store isn't converting visitors to buyers, or when you want to improv...
Usage Guidance
This skill appears coherent and limited to reading your storefront data via platform MCP APIs to produce CRO recommendations. Before installing, confirm you trust the agent/host to access your store data (orders, listings, settings) and that you’re comfortable with the agent reading that information. If you have concerns about sharing sales or customer details, restrict the agent’s access or run audits on a limited dataset. Otherwise this instruction-only skill presents low installation risk.
Capability Analysis
Type: OpenClaw Skill Name: mobazha-storefront-cro Version: 0.1.0 The storefront-cro skill bundle is designed to analyze Mobazha storefronts and provide conversion rate optimization recommendations. It utilizes standard MCP tools (e.g., profile_get, listings_list_mine, orders_get_sales) to gather store data for analysis against a structured framework. The instructions in SKILL.md are well-aligned with the stated purpose and do not contain any malicious directives, data exfiltration patterns, or suspicious execution logic.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The name/description (storefront CRO) aligns with the declared runtime actions. The SKILL.md explicitly references MCP store APIs (profile_get, listings_list_mine, settings_get_storefront, orders_get_sales, exchange_rates_get) which are appropriate and sufficient for a CRO audit. No unrelated credentials, binaries, or system paths are requested.
Instruction Scope
Instructions are scoped to gathering store data via the listed MCP tools, analyzing CRO dimensions, scoring, and returning prioritized recommendations and rewrites. The skill does not instruct the agent to read arbitrary local files, environment variables, or transmit data to external endpoints beyond the platform APIs. It references cooperating skills for copywriting and image prompts, which is coherent with its purpose.
Install Mechanism
This is instruction-only with no install spec or code to download or execute. That minimizes surface area and matches the skill's described behavior.
Credentials
No environment variables, credentials, or config paths are required. The skill relies on platform MCP tools (declared in SKILL.md), which is proportional for a storefront audit.
Persistence & Privilege
always:false and no install/config changes are requested. The skill does not ask to become persistent or modify other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mobazha-storefront-cro
  3. After installation, invoke the skill by name or use /mobazha-storefront-cro
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release
Metadata
Slug mobazha-storefront-cro
Version 0.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mobazha Storefront CRO?

Analyze and optimize your Mobazha storefront for higher conversion rates. Use when your store isn't converting visitors to buyers, or when you want to improv... It is an AI Agent Skill for Claude Code / OpenClaw, with 92 downloads so far.

How do I install Mobazha Storefront CRO?

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

Is Mobazha Storefront CRO free?

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

Which platforms does Mobazha Storefront CRO support?

Mobazha Storefront CRO is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mobazha Storefront CRO?

It is built and maintained by fengzie (@fengzie); the current version is v0.1.0.

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