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Product Naming
by
LeroyCreates
· GitHub ↗
· v1.0.0
· MIT-0
88
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install product-naming
Description
Test product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk.
Usage Guidance
This skill appears coherent and low-risk because it only analyzes titles you provide and has no install or credential requirements. Before using it, avoid pasting sensitive or proprietary content (full product roadmaps, private supplier contacts, unpublished pricing) into the inputs; treat competitor titles and trademarked phrases carefully if you are concerned about IP. Also remember compliance checks are heuristic — platform policies change, so double-check any compliance-related recommendations with the actual TikTok Shop/Amazon/Shopify policy pages or legal counsel before publishing. If you want the skill to benchmark against live marketplace listings, prefer to fetch and supply competitor examples yourself rather than asking the agent to crawl external sites.
Capability Analysis
Type: OpenClaw Skill
Name: product-naming
Version: 1.0.0
The skill bundle consists solely of metadata and a markdown file (SKILL.md) providing instructions for an AI agent to evaluate product names for e-commerce platforms. There is no executable code, no network activity, and no evidence of malicious prompt injection or data exfiltration attempts.
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md: it evaluates candidate product/listing titles for marketplace performance (hook strength, search fit, compliance risk, audience resonance). It asks only for candidate titles, target platform, category, audience, and optional competitor titles/brand rules — all coherent and directly relevant.
Instruction Scope
This is an instruction-only skill whose runtime instructions ask the agent to analyze text inputs and produce scorecards and recommendations. The SKILL.md expects the user to supply competitor titles if needed and does not direct the agent to read system files, environment variables, or external credentials. There is no evidence in the provided content that the instructions require web scraping or contacting external endpoints.
Install Mechanism
No install spec or code files are included; the skill runs entirely from textual instructions. That minimizes filesystem and network risk (no downloads, no extracted archives).
Credentials
The skill declares no required environment variables, credentials, or config paths and the SKILL.md does not request secrets. Inputs are user-provided text fields (titles, platform, audience), which is proportionate to the described functionality.
Persistence & Privilege
The skill is not always-on and uses normal model invocation. It does not request persistent presence or system-wide configuration changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install product-naming - After installation, invoke the skill by name or use
/product-naming - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release.
Metadata
Frequently Asked Questions
What is Product Naming?
Test product names and listing titles for TikTok Shop conversion potential before going live by scoring hook strength, search fit, and compliance risk. It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Product Naming?
Run "/install product-naming" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Product Naming free?
Yes, Product Naming is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Product Naming support?
Product Naming is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Product Naming?
It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.0.
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