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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.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install bluerockerr/meta-ads-analyserExaminez 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.
Generate a professional ad strategy analysis report from extracted Meta ad creatives.
/meta_ads_extractor (images, videos, landing page screenshots)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
└── ...
For each ad creative, identify:
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 |
For each landing page, identify:
Group ads by their destination landing page....
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
# 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....University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...
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