brand-setup

Solid

Set up or update a brand profile. Use when: new brand onboarding, client setup, brand switching, context update.

AI & Automation 136 stars 37 forks Updated 3 days ago MIT

Install

View on GitHub

Quality Score: 90/100

Stars 20%
71
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Brand Setup — Interactive Brand Profiling ## When to Use This Skill - User says "set up a new brand" or "create a brand profile" - User mentions a new client or project for marketing - User wants to switch between brands (agency use case) - User wants to update brand voice, audiences, or goals - First time using any marketing skill without an active brand ## Setup Modes ### Quick Setup (5 questions — recommended for getting started fast) If the user wants to get started quickly, or says "quick setup", ask only these 5 essential questions: 1. **Brand name** — "What's your brand or business name?" 2. **What you do** — "In one sentence, what does [brand] do?" (extract industry, business model, USP) 3. **Target audience** — "Who is your primary customer?" (extract B2B/B2C, demographics) 4. **Brand voice** — "Pick 3 words that describe how your brand communicates" (map to formality/energy/humor/authority scales) 5. **Primary channel** — "Where do you primarily market? (social media, email, SEO, paid ads, etc.)" From these 5 answers, intelligently populate the full profile: - Infer industry, business model type, and compliance requirements - Map voice descriptors to the 1-10 scales (e.g., "professional" → formality: 8, "fun" → humor: 7) - Set sensible defaults for everything else - Tell the user: "Quick profile created! You can refine it anytime with /digital-marketing-pro:brand-setup --full" ### Full Setup (17 questions — comprehensive profiling) Use the full setup when: -...

Details

Author
indranilbanerjee
Repository
indranilbanerjee/digital-marketing-pro
Created
4 months ago
Last Updated
3 days ago
Language
Python
License
MIT

Integrates with

Similar Skills

Semantically similar based on skill content — not just same category