ai-business-skills

Name: ai-business-skills Review
Item: ai-business-skills
Rating: 3.2
Author: Aaron Matthews

Skill Development Usable

60 production-ready AI marketing skills (29 VN + 30 Global) for Claude Code, ChatGPT, Gemini & Copilot. 4 regions (US/EU/SEA/LATAM), Personal Brand + AI Avatar cluster, Dropshipping flagship for US/EU. Universal agents auto-detect cluster. Vietnam-market 2025-2026. Plugin or standalone prompts.

436 starsMIT (commercial OK)Free

Fair rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/minhnv0807/ai-business-skills

By minhnv0807

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install minhnv0807/ai-business-skills

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars436Last updated2026-05-25LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-06-01 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 436 GitHub stars; contributors unknown; last commit 7d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.25 / 5.00 UsableEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 436 GitHub stars; contributors unknown; last commit 7d ago; license MIT.

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