/Catalogue/Prompt/indranilbanerjee/indranilbanerjee-digital-marketing-pro-brand-setup

Origin: github

brand-setup

Create or update the brand profile every other skill reads — a quick 5-question or full 17-question interactive setup capturing identity, business model, industry and compliance markets, 4-dimension voice scales, channels, goals, and competitors, saved to ~/.claude-marketing/brands/{slug}/profile.json via scripts/setup.py. Triggers on "/digital-marketing-pro:brand-setup", "set up a new brand", "onboard a new client", "switch to another brand", "update our brand voice". Also handles brand switching (updates _active-brand.json) and field-level profile edits; run this first — all marketing skills auto-apply the resulting profile, voice samples, and compliance rules.

by indranilbanerjee · updated 18d ago · imported from GitHub

Installs0+0/7d
Security score100/100
Retention 14d0%
GitHub stars834

Skill logic

Execution graph
User message
Prompt rewrites behaviour
Response

SKILL.md

View on GitHub ↗

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:

  • User explicitly asks for detailed/full/comprehensive setup
  • User says "/digital-marketing-pro:brand-setup --full"
  • User wants to update specific sections of an existing profile

Process (Full Setup)

Step 1: Brand Identity

Ask the user one question at a time (don't overwhelm):

  1. Brand name: "What's the brand/company name?"
  2. Elevator pitch: "In one sentence, what does [brand] do?"
  3. USP: "What makes [brand] different from competitors?"
  4. Mission/Values: "What's the brand's mission? What values drive it?"

Step 2: Business Model

  1. Business type: Present options:

    • B2B SaaS / Software
    • B2C eCommerce / DTC
    • B2B Services / Consulting
    • Local Business
    • Agency (managing multiple clients)
    • Creator / Personal Brand
    • Enterprise
    • Non-Profit
    • Marketplace
  2. Revenue model: subscription, transactional, freemium, marketplace commission, donation, retainer, advertising

  3. Price range and sales cycle: "What's your typical deal size and how long does it take to close?"

Step 3: Industry & Compliance

  1. Industry: "What industry are you in?" (match to industry-profiles.md)
  2. Regulated?: "Are you in a regulated industry? (healthcare, finance, legal, alcohol, cannabis, etc.)"
  3. Target markets: "What countries/regions do you sell to?" (triggers compliance rules)

Step 4: Brand Voice

  1. Voice dimensions — Ask user to rate 1-10 or describe:

    • Formality (1=very casual like a friend, 10=very formal like a law firm)
    • Energy (1=calm and measured, 10=enthusiastic and bold)
    • Humor (1=never use humor, 10=humor is core to the brand)
    • Authority (1=peer-level, friendly guide, 10=expert thought leader)
  2. Personality traits: "Pick 3-5 words that describe the brand's personality" (e.g., witty, empathetic, direct, bold, thoughtful, playful, authoritative, warm)

  3. This-Not-That: "Give me examples of how you'd say something vs. how you wouldn't" (e.g., "We say 'Let's figure this out together' not 'Contact our support team'")

  4. Sample content: "Share 2-3 URLs or text snippets of content you think nails your brand voice"

Step 5: Channels & Goals

  1. Active channels: "Which marketing channels are you currently using?" (website, Instagram, LinkedIn, Twitter, TikTok, YouTube, Facebook, Pinterest, Email, Google Ads, Meta Ads, etc.)

  2. Goals: "What's your #1 marketing goal right now?" + target KPIs + budget range + team size

Step 6: Competitors

  1. Competitors: "Name 3-5 competitors (direct or aspirational)"
    • For each: name, URL, relationship (direct/indirect/aspirational), known strengths/weaknesses

Step 7: Save & Confirm

After collecting all information:

  1. Run: python "${CLAUDE_PLUGIN_ROOT}/scripts/setup.py" --create-brand "[brand name]"
  2. Update the created profile.json with all collected data
  3. Add the AI-assistance disclosure block (defaults unless the user chooses otherwise): "ai_disclosure": {"mode": "claude-surfaces", "text": null, "author": null}. Modes: claude-surfaces (default — the disclosure attaches when content runs on a Claude surface or the surface is uncertain; skipped only on an affirmatively-detected non-Claude harness), always (every surface — safest for brands with their own AI-transparency obligations), off (never; the brand owns that choice). author is OPTIONAL and may stay null — the default wording ("reviewed by our editorial team") needs no name. Custom text replaces the default verbatim; note the default is vendor-neutral and claims only the review the pipeline performs
  4. Confirm to user: "Brand profile created for [brand_name]. All marketing modules will now use this context. You can update it anytime by saying 'update my brand profile.'"

Switching Brands

When user says "switch to [brand name]":

  1. Run: python "${CLAUDE_PLUGIN_ROOT}/scripts/setup.py" --list-brands
  2. Find matching brand
  3. Update ~/.claude-marketing/brands/_active-brand.json
  4. Confirm: "Switched to [brand_name]."

Updating a Brand

When user wants to update specific fields:

  1. Load current profile from ~/.claude-marketing/brands/{slug}/profile.json
  2. Ask about the specific field(s) to update
  3. Write updated profile back
  4. Confirm changes

Important Notes

  • NEVER skip the brand voice section — it's what makes all content outputs on-brand
  • For agencies: each client should be a separate brand profile
  • Store voice samples as markdown files in the brand's voice-samples/ directory
  • Auto-detect industry compliance rules based on the industry and market selections

Discussion

No comments yet — start the thread.

Sign in to join the discussion.

/More from indranilbanerjee/digital-marketing-pro

indranilbanerjee· 18d agoCommunity
aeo-geo

Prompts · Python · v0.1.0

Strategy module for Answer Engine / Generative Engine Optimization — audits AI visibility, restructures content for citation, runs entity-consistency checks across Knowledge Graph, Wikidata, Wikipedia, Crunchbase, and LinkedIn, and produces JSON-LD schema specs, monitoring frameworks, and a 90-day LLM content strategy. Triggers on "/digital-marketing-pro:aeo-geo", "how do we get cited by AI", "optimize for AI Overviews", "fix our entity consistency", "do we need llms.txt". Reads the brand profile, compliance rules, and industry benchmarks; its measurement counterpart is /digital-marketing-pro:aeo-audit, with GSC actuals via /digital-marketing-pro:gsc-ai-performance.

#aeo#agent-skills#ai-marketing

0 834
indranilbanerjee· 18d agoCommunity
ab-test-plan

Prompts · Python · v0.1.0

Design a statistically rigorous A/B or multivariate test plan — If/Then/Because hypothesis, control and variant specs, required sample size per variant (absolute vs relative MDE via sample-size-calculator.py), test duration, guardrail metrics, stopping rules, and go/no-go decision criteria. Triggers on "/digital-marketing-pro:ab-test-plan", "set up an A/B test", "how long should my test run", "calculate sample size for an experiment", "is this test result significant". Reads the brand profile and past campaign-tracker results to avoid re-testing validated hypotheses; finished tests are evaluated with significance-tester.py by the cro-specialist agent.

#aeo#agent-skills#ai-marketing

0 834
indranilbanerjee· 18d agoCommunity
ad-creative

Prompts · Python · v0.1.0

Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags, A/B testing groupings, and a message-match check against the landing page. Triggers on "/digital-marketing-pro:ad-creative", "write ad copy for Meta", "give me RSA headline variations", "we need LinkedIn ad copy", "draft TikTok ad creative". Reads the brand profile, guidelines, and compliance rules; routes video ad scripts to /digital-marketing-pro:video-script and gates AI-generated visuals for EU campaigns through /digital-marketing-pro:c2pa-metadata and /digital-marketing-pro:check.

#aeo#agent-skills#ai-marketing

0 834
indranilbanerjee· 18d agoSandbox
add-integration

Prompts · Python · v0.1.0

Walk through adding a custom MCP server integration to the plugin — searches npm for an existing MCP package (or scaffolds a custom server from the plugin's guide), generates the exact .mcp.json entry, sets up environment-variable credentials, tests connectivity, and documents the tools the new server exposes. Triggers on "/digital-marketing-pro:add-integration", "connect Ahrefs to the plugin", "add a new MCP server", "integrate our internal API", "hook up Stripe data". Reads the brand profile and agency credential profiles at ~/.claude-marketing/credentials/ to map client-specific keys; custom builds follow skills/context-engine/custom-mcp-guide.md.

#aeo#agent-skills#ai-marketing

0 834