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Product Title Optimization
by
nexscope-ai
· GitHub ↗
· v1.0.0
· MIT-0
220
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install product-title-optimization
Description
Optimize product titles for search visibility and click-through rate across e-commerce platforms. Platform-specific title rules for Amazon (200 chars), Etsy...
Usage Guidance
This skill is coherent with its advertised purpose and doesn't request credentials or system access. If you plan to run the optional `npx` install shown in the README, verify the npm package and its GitHub repo (author, recent activity, README, issues) before installing, since npx will fetch and execute third-party code. Never paste secrets (API keys, account passwords) into the skill prompts — the skill only needs product details and goals. If you want extra caution, use the instruction-only behavior (without running the npx installer) or review the upstream repository code before installing.
Capability Analysis
Type: OpenClaw Skill
Name: product-title-optimization
Version: 1.0.0
The skill bundle consists of metadata and instructional markdown (SKILL.md) designed to guide an AI agent in optimizing e-commerce product titles. There is no executable code, no evidence of data exfiltration, and no suspicious instructions or prompt-injection attempts identified within the files.
Capability Assessment
Purpose & Capability
Name, description, and capabilities (platform-specific title templates, keyword placement, character limits, A/B variants) align with a title-optimization assistant. It does not request unrelated resources or credentials.
Instruction Scope
SKILL.md instructs the agent to collect product and platform info from the user and ask one follow-up multiple-choice question; it does not instruct reading system files, environment variables, or sending data to unexpected endpoints. The guidance is narrowly scoped to the stated functionality.
Install Mechanism
There is no declared install spec in the registry metadata (instruction-only). SKILL.md includes an optional install example using `npx skills add nexscope-ai/eCommerce-Skills`, which would pull code from npm if executed — that is typical but does involve downloading third-party code. Because installation is optional and not part of the skill bundle, this is only a caution rather than a direct risk from the skill itself.
Credentials
The skill declares no required env vars, credentials, or config paths. The runtime instructions do not ask for secrets or unrelated credentials; requested user input (product details, goals, current title) is appropriate for the purpose.
Persistence & Privilege
The skill is not marked always:true and does not request persistent system-wide privileges. Default autonomous invocation is allowed by the platform but is not combined with other red flags here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install product-title-optimization - After installation, invoke the skill by name or use
/product-title-optimization - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Beta release — functional skill for e-commerce AI agents. Built by Nexscope.
Metadata
Frequently Asked Questions
What is Product Title Optimization?
Optimize product titles for search visibility and click-through rate across e-commerce platforms. Platform-specific title rules for Amazon (200 chars), Etsy... It is an AI Agent Skill for Claude Code / OpenClaw, with 220 downloads so far.
How do I install Product Title Optimization?
Run "/install product-title-optimization" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Product Title Optimization free?
Yes, Product Title Optimization is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Product Title Optimization support?
Product Title Optimization is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Product Title Optimization?
It is built and maintained by nexscope-ai (@nexscope); the current version is v1.0.0.
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