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// Skill profile

Meta Ads Analyser

name: meta-ads-analyser

by bluerockerr · published 2026-03-22

图像生成社交媒体
Total installs
0
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★ 0
Last updated
2026-03
// Install command
$ claw add gh:bluerockerr/bluerockerr-meta-ads-analyser
View on GitHub
// Full documentation

---

name: meta-ads-analyser

description: Analyze extracted Meta ad creatives and generate a professional strategy report. Use after /meta_ads_extractor to produce a clean, organized analysis document with inline videos/images grouped by funnel/landing page.

---

# Meta Ads Analyser

Generate a professional ad strategy analysis report from extracted Meta ad creatives.

Prerequisites

  • Extracted ad assets from `/meta_ads_extractor` (images, videos, landing page screenshots)
  • Ad creative analysis (hooks, scripts, emotions, CTAs, strengths/weaknesses)
  • Landing page analysis (headlines, strategies, conversion flows)
  • Input

    Assets folder from extraction, typically at:

    ~/clawd/output/meta-ads/{advertiser-slug}/
    ├── {slug}-video-01.mp4
    ├── {slug}-video-02.mp4
    ├── {slug}-image-01.jpg
    ├── {slug}-image-02.jpg
    ├── landing-{page-name}.jpg
    └── ...

    Analysis Process

    1. Analyze Each Creative

    For each ad creative, identify:

  • **Aspect Ratio** — Dimensions and ratio (1:1, 4:5, 9:16, 16:9)
  • **Duration** — For videos, length in seconds
  • **Hook** — Opening line/visual that stops the scroll
  • **Script/Copy** — Key messaging and value proposition
  • **Visual Flow** — Sequence of scenes/elements (for video)
  • **Emotion** — Primary emotional trigger (curiosity, fear, aspiration, etc.)
  • **CTA** — Call to action and friction level
  • **Strengths** — What works well
  • **Weaknesses/Gaps** — What could be improved
  • Use vision model for images, Gemini for video analysis.

    **Get dimensions with:**

    # Images (macOS)
    sips -g pixelWidth -g pixelHeight image.jpg
    
    # Videos
    ffprobe -v error -select_streams v:0 -show_entries stream=width,height -of csv=p=0 video.mp4

    **Common aspect ratios:**

    | Ratio | Use Case |

    |-------|----------|

    | 1:1 | Feed (universal) |

    | 4:5 | Feed (recommended) |

    | 9:16 | Stories/Reels |

    | 16:9 | Landscape video |

    2. Analyze Landing Pages

    For each landing page, identify:

  • **Headline** — Primary value proposition
  • **Strategy** — Key conversion elements (social proof, urgency, etc.)
  • **Conversion Flow** — Path from landing to purchase/signup
  • **Strengths** — What converts well
  • **Gaps** — Missing elements or friction points
  • 3. Map Funnels

    Group ads by their destination landing page. Each funnel = landing page + all ads driving to it.

    Typical funnel types:

  • **TOFU (Top of Funnel)** — Awareness, lead magnets, quizzes, free content
  • **BOFU (Bottom of Funnel)** — Direct offer, application, purchase
  • 4. Identify Strategy Patterns

    Look for:

  • Credibility stacking (logos, credentials, social proof)
  • Price anchoring
  • Native creative (ads that don't look like ads)
  • Identity-driven copy
  • Testing patterns (variants of same creative)
  • Output Format

    Generate a self-contained HTML report using the template structure below.

    Report Structure

    1. Header
       - Advertiser name
       - Stats (# ads, # funnels, date)
    
    2. Strategy Overview (TOP)
       - High-level acquisition strategy
       - Funnel flow visualization
       - Creative testing patterns
       - Key takeaways (actionable insights)
    
    3. Funnel Sections (one per landing page)
       - Funnel header (name, URL)
       - Landing page card (screenshot + analysis)
       - Ad cards grid (media + analysis for each)
       
    4. Footer
       - Source attribution
       - Date generated

    Styling Guidelines

  • **Clean, doc-like design** — white background, simple typography
  • **No dark gradients or heavy styling** — should feel like a PDF/Notion doc
  • **Inline media** — videos and images embedded and playable
  • **Mobile-friendly** — responsive grid for ad cards
  • **Badges for quick scanning** — TOFU/BOFU, Video/Image, Variant, Top performer, Aspect ratio (1:1, 4:5, 9:16)
  • Ad Card Format

    Each ad card should display:

    [Media: video/image]
    [Badges: Type | Funnel Stage | Aspect Ratio | Duration (if video)]
    [Title]
    [Analysis fields: Hook, Script, Emotion, Strengths, Gaps]

    **Include aspect ratio badge** on every ad card so patterns are visible at a glance (e.g., "all TOFU ads are 4:5, BOFU ads are 1:1").

    See `templates/report-template.html` for the full HTML/CSS template.

    Delivery

    1. Generate HTML file in the assets folder:

    ```

    ~/clawd/output/meta-ads/{advertiser-slug}/{slug}-analysis.html

    ```

    2. Zip the entire folder (HTML + all media assets)

    3. Send via Telegram with caption explaining contents

    **Important:** The HTML uses relative paths to media files. Always deliver as a zip so the recipient can open it locally with all assets.

    Example Workflow

    User: Analyze the EricPartaker ads we extracted
    
    1. Read assets folder: ~/clawd/output/meta-ads/ericpartaker/
    2. Analyze each video with Gemini / image with vision
    3. Analyze landing page screenshots
    4. Map ads to landing pages (identify 3 funnels)
    5. Identify strategy patterns
    6. Generate HTML report
    7. Zip folder
    8. Send to user

    Integration

    This skill is designed to follow `/meta_ads_extractor`:

    /meta_ads_extractor → downloads assets
    /meta_ads_analyser → generates strategy report

    Can also integrate with:

  • **ad-creative-analysis** — detailed individual ad breakdowns
  • **landing-page-analysis** — deeper landing page audits
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