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PythonReactSEOPDF
OpenClaw

meta-ads-analyser

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.

bluerockerr0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install bluerockerr/meta-ads-analyser

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

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....

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/bluerockerr/meta-ads-analyser
Version
—
Commit
685f85adf005a24ff456de6f1e51fbfc1fd21047
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# 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:**
```bash
# 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....

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