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    michaelboeding

    brand-research-agent

    michaelboeding/brand-research-agent
    Research
    6
    2 installs

    About

    SKILL.md

    Install

    Install via Skills CLI

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    ├─
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    About

    Use this skill to analyze a brand from their website before creating content...

    SKILL.md

    Brand Research Skill

    Analyze a brand's website to extract brand elements for content creation.

    This skill uses 5 specialized agents that analyze different brand dimensions in parallel, then synthesizes into a unified brand profile.

    What It Extracts

    Dimension Elements Used For
    Visual Colors, typography, logo, imagery style Image prompts, video style
    Voice Tone, messaging, taglines, copy style Voiceover, scripts
    Product Offerings, features, USPs, pricing Content focus
    Audience Demographics, psychographics, pain points Tone targeting
    Positioning Market position, competitors, differentiation Messaging strategy

    Prerequisites

    • Browser access (uses web scraping)
    • No API keys required

    Workflow

    Step 1: Get the Website URL (REQUIRED)

    FIRST, always ask for the website URL. Do not proceed without it.

    Say this to the user:

    "I'll analyze that brand for you!

    What's the website URL? (e.g., https://nike.com)

    Optional: Any specific pages to focus on? Any known competitors?"

    Wait for the user to provide the URL before proceeding.

    If the user just says "analyze Nike's brand", ask:

    "I'll analyze Nike for you. Just to confirm - should I use https://nike.com?"


    Step 2: Navigate and Capture Website Data

    Use browser tools to navigate the website and capture:

    1. Homepage - Overall impression, hero messaging, colors
    2. About page - Company story, values, team
    3. Products/Services page - Offerings, features, pricing
    4. Blog/Resources - Voice, content style
    5. Footer - Social links, taglines
    

    Capture for each page:

    • Screenshot for visual analysis
    • HTML/CSS for colors and fonts
    • Text content for voice analysis
    • Images for style analysis

    Step 3: Run Specialized Agents in Parallel

    Deploy 5 agents, each analyzing a different dimension:

    Agent 1: Visual Analyst

    Focus: Colors, typography, logo, imagery style

    Analyze:
    - Primary, secondary, accent colors from CSS/design
    - Font families for headings and body
    - Logo usage and placement
    - Photography/illustration style
    - Overall visual mood (minimal, bold, playful, etc.)
    

    Agent 2: Voice Analyst

    Focus: Tone, messaging, taglines, copy style

    Analyze:
    - Headlines and how they're written
    - Body copy style (formal vs casual)
    - CTAs and their tone
    - Taglines and slogans
    - Emotional appeals used
    

    Agent 3: Product Analyst

    Focus: Offerings, features, USPs, pricing

    Analyze:
    - What products/services they offer
    - Key features highlighted
    - Unique selling propositions
    - Pricing model and tiers
    - Value propositions
    

    Agent 4: Audience Analyst

    Focus: Demographics, psychographics, pain points

    Analyze:
    - Who the messaging targets
    - Pain points addressed
    - Aspirations appealed to
    - Language level and jargon
    - Testimonials and case studies
    

    Agent 5: Competitive Analyst

    Focus: Market position, competitors, differentiation

    Analyze:
    - Market/industry category
    - Implied competitors
    - How they differentiate
    - Unique market position
    - Competitive advantages claimed
    

    Step 4: Synthesize into Brand Profile

    Combine all agent outputs into a unified brand_profile.json:

    {
      "brand": {
        "name": "Company Name",
        "website": "https://example.com",
        "tagline": "Their main tagline",
        "analyzed_date": "2026-01-04"
      },
      "visual": {
        "colors": {
          "primary": "#1E40AF",
          "secondary": "#F59E0B",
          "accent": "#10B981",
          "background": "#FFFFFF",
          "text": "#1F2937"
        },
        "typography": {
          "headings": "Montserrat Bold",
          "body": "Open Sans",
          "style": "Modern, clean"
        },
        "logo": {
          "description": "Abstract geometric mark + wordmark",
          "usage": "Typically on white/dark backgrounds"
        },
        "imagery_style": {
          "type": "Photography",
          "mood": "Professional, aspirational",
          "subjects": "People using product, office settings",
          "treatment": "Bright, high contrast, natural lighting"
        }
      },
      "voice": {
        "tone": ["Confident", "Approachable", "Expert"],
        "personality": "Like a smart friend who knows their stuff",
        "formality": "Professional casual",
        "style_notes": [
          "Short, punchy sentences",
          "Active voice preferred",
          "Benefit-focused over feature-focused",
          "Uses 'you' and 'your' frequently"
        ],
        "example_headlines": [
          "Built for builders",
          "Simple. Powerful. Yours."
        ],
        "words_to_use": ["Simple", "Powerful", "Fast", "Seamless"],
        "words_to_avoid": ["Cheap", "Basic", "Just"]
      },
      "products": {
        "category": "SaaS / Developer Tools",
        "offerings": [
          {
            "name": "Core Platform",
            "description": "Main product offering",
            "key_features": ["Feature 1", "Feature 2", "Feature 3"]
          }
        ],
        "usps": [
          "10x faster than alternatives",
          "No-code setup in 5 minutes",
          "Enterprise-grade security"
        ],
        "pricing_model": "Freemium with usage-based scaling",
        "value_proposition": "Get to market faster without sacrificing quality"
      },
      "audience": {
        "primary": {
          "who": "Technical founders and developers",
          "demographics": "25-45, tech-savvy, startup/scale-up",
          "psychographics": "Move fast, value efficiency, quality-conscious"
        },
        "secondary": {
          "who": "Enterprise DevOps teams",
          "demographics": "Large companies, IT departments"
        },
        "pain_points": [
          "Complex setup processes",
          "Slow iteration cycles",
          "Scaling costs out of control"
        ],
        "aspirations": [
          "Ship faster",
          "Look professional",
          "Scale effortlessly"
        ]
      },
      "positioning": {
        "market": "Developer tools / Infrastructure",
        "competitors": ["Competitor A", "Competitor B", "Competitor C"],
        "differentiation": "Simplicity + Enterprise power in one package",
        "market_position": "Premium but accessible",
        "competitive_advantages": [
          "Easiest setup in category",
          "Best-in-class performance",
          "Loved by developers"
        ]
      },
      "content_guidelines": {
        "for_video_producer": {
          "music_style": "Modern, upbeat, confident but not aggressive",
          "voiceover_tone": "Confident, clear, approachable expert",
          "visual_style": "Clean, minimal, bold accents, professional"
        },
        "for_podcast_producer": {
          "host_personality": "Smart, curious, enthusiastic about tech",
          "conversation_style": "Educational but engaging, not dry"
        },
        "for_audio_producer": {
          "voiceover_direction": "Professional but warm, not corporate robot",
          "music_mood": "Inspiring, forward-moving, modern"
        },
        "for_social_producer": {
          "image_style": "Clean product shots, lifestyle use cases",
          "video_style": "Quick, punchy, value-first",
          "copy_style": "Short, benefit-focused, emoji-light"
        }
      }
    }
    

    Step 5: Save and Deliver

    Save the brand profile:

    # Save to current directory
    brand_profile.json
    
    # Or to a specific location
    /path/to/project/brand_profile.json
    

    Delivery message:

    "✅ Brand analysis complete!

    Brand Profile saved to: brand_profile.json

    Summary:

    • Brand: Acme Corp
    • Colors: Blue (#1E40AF) + Orange (#F59E0B)
    • Voice: Confident, approachable, expert
    • Audience: Technical founders, 25-45
    • Position: Simplicity + Power

    Use this profile with:

    • video-producer --brand brand_profile.json
    • podcast-producer --brand brand_profile.json
    • social-producer --brand brand_profile.json

    Want me to:

    • Analyze additional pages?
    • Deep dive on any dimension?
    • Create content using this profile?"

    Using the Brand Profile with Producers

    Once you have a brand_profile.json, reference it when creating content:

    Example workflow:

    USER: "Create a product video using our brand profile"
    
    PRODUCER:
    1. Reads brand_profile.json
    2. Uses colors for visual prompts: "Color scheme: blue (#1E40AF) and orange (#F59E0B)"
    3. Uses voice for TTS: "Tone: Confident, approachable, professional"
    4. Uses music style: "Modern, upbeat, confident"
    5. Uses imagery style: "Clean, minimal, professional photography"
    
    RESULT: On-brand video that matches company's existing presence
    

    Manual Brand Profile

    If you can't scrape or prefer manual input, create brand_profile.yaml:

    brand:
      name: "My Company"
      tagline: "Innovation for everyone"
    
    visual:
      colors:
        primary: "#1E40AF"
        secondary: "#F59E0B"
      typography:
        headings: "Montserrat"
        body: "Open Sans"
    
    voice:
      tone: ["Friendly", "Expert", "Approachable"]
      formality: "Professional casual"
    
    audience:
      primary: "Small business owners, 30-50"
      pain_points: ["Too complex", "Too expensive"]
    
    # ... etc
    

    Agents

    This skill uses 5 specialized agents defined in agents/:

    Agent File Focus
    Visual Analyst visual-analyst.md Colors, fonts, imagery
    Voice Analyst voice-analyst.md Tone, messaging, copy
    Product Analyst product-analyst.md Offerings, USPs
    Audience Analyst audience-analyst.md Who they target
    Competitive Analyst competitive-analyst.md Market position

    Limitations

    • Dynamic content: May miss JavaScript-rendered content
    • Accuracy: Analysis is interpretation, not definitive
    • Access: Some sites may block scraping
    • Currency: Brands evolve; re-analyze periodically

    Example Prompts

    Basic:

    "Analyze Nike's brand from their website"

    With specifics:

    "Research the Apple brand, focusing on their product pages and About section"

    For content creation:

    "Before creating our marketing video, analyze our competitor's brand: https://competitor.com"

    Update existing:

    "Re-analyze our brand profile, we've updated our website"

    Recommended Servers
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    Nimble MCP Server
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    Repository
    michaelboeding/skills
    Files