30x-growth-marketing-panel
The 30x Growth Marketing Panel provides marketing advice from 11 experts by retrieving content from indexed YouTube videos and applying persona-based frameworks.
Is 30x-growth-marketing-panel safe to install?
Review the source first: our audit of 30x-growth-marketing-panel's source files found 2 shell commands, 1 external URL, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands including yt-dlp and makes network requests to YouTube URLs during the expert distillation process.
How we audit skills: our security review methodology.
Who is this skill for?
Marketing professionals, SaaS founders, and solopreneurs seeking strategic advice based on established marketing frameworks.
What can you do with it?
- Consulting specific marketing experts for advice on pricing, SEO, or community growth.
- Generating multi-expert roundtable discussions for broad strategic questions.
- Applying specific frameworks like the Value Equation or AARRR funnel to business scenarios.
- Distilling new experts into the panel using provided prompt templates.
How good is this skill?
Quality score: 5/10. The skill documentation is comprehensive, providing clear usage patterns, architectural details, and troubleshooting steps.
What does the skill file contain?
# 30x Growth Marketing Panel > Skill by [ara.so](https://ara.so) — Marketing Skills collection. An AI-powered expert panel of 11 world-class marketing experts distilled from 4,000+ YouTube videos. Get answers from the right expert(s) in their voice, using their actual frameworks. ## What It Does The 30x Growth Marketing Panel uses a dual-layer architecture to provide authentic expert advice: - **Layer 1 (Brain)**: NotebookLM retrieval from 4,000+ indexed YouTube videos - **Layer 2 (Soul)**: Persona Protocol with expert personality, frameworks, and anti-patterns - **Semantic routing**: Aut...
Frequently asked questions
How does the skill prevent hallucinations?
The skill follows a retrieve-first protocol, requiring the agent to search NotebookLM sources before generating responses and marking extrapolations with a warning symbol.
Can I add my own experts to the panel?
Yes, users can utilize the distill_anyone.md prompt template to collect YouTube content, create a NotebookLM notebook, and generate a Persona Protocol.
What happens if an expert has not covered a specific topic?
The protocol requires the agent to state that the expert has not covered the topic rather than fabricating an answer.
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