Ad library teardown

Skill ScrapeCreators/social-media-research-skills/skills/ad-library-teardown

Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.From its SKILL.md

Install

npx -y skills add ScrapeCreators/social-media-research-skills --skill ad-library-teardown

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What its file declares

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SKILL.md

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Ad Library Teardown

Overview

Analyze public ads to understand a competitor's messaging, offers, creative strategy, and testing angles. The output should be a practical teardown marketers can use to write better ads or decide what to test.

When to Use

Use this skill when the user asks to:

analyze a competitor's active ads
search Meta/Facebook, Google, or LinkedIn ad libraries
extract ad hooks, CTAs, claims, offers, and landing page angles
compare ad messaging across competitors
summarize video ad transcripts
generate ad test ideas from competitor ads

Data Sources

Ad library	Search/list endpoint	Detail endpoint	Transcript endpoint
Meta/Facebook	`/v1/facebook/adLibrary/search/ads`, `/v1/facebook/adLibrary/company/ads`, `/v1/facebook/adLibrary/search/companies`	`/v1/facebook/adLibrary/ad`	`/v1/facebook/adLibrary/ad/transcript`
Google	`/v1/google/adLibrary/advertisers/search`, `/v1/google/company/ads`	`/v1/google/ad`	n/a
LinkedIn	`/v1/linkedin/ads/search`	`/v1/linkedin/ad`	n/a

Workflow

Find the advertiser
- Use company search endpoints when the user provides only a brand name.
- Use domain/advertiser/page IDs when available.
Fetch active ads
- Prefer active ads unless the user asks for historical analysis.
- Capture platform, advertiser/page, ad ID, start date, creative type, text, headline, CTA, destination URL, and source URL.
Fetch details for representative ads
- Enrich the ads with detail endpoints.
- For video Meta ads, fetch transcripts when available.
Cluster messaging Group ads by:
- pain point
- persona
- offer
- proof/social proof
- feature/benefit
- objection handled
- comparison/alternative angle
- urgency/discount
Extract swipeable elements
- hooks
- headlines
- primary text patterns
- CTAs
- claims
- offers
- visual/creative concepts
Recommend tests Suggest tests based on repeated patterns and gaps, not random ideas.

Output Format

# Ad Library Teardown: {brand}

## Summary
- Ads analyzed: {count}
- Platforms: Meta / Google / LinkedIn
- Main positioning:
- Strongest repeated offer:

## Messaging Angles
| Angle | Evidence | Example ads | Notes |
|---|---|---|---|

## Hooks and Headlines Swipe File
- "..."
- "..."

## Offers and CTAs
| Offer | CTA | Platform | Example |
|---|---|---|---|

## Video Transcript Notes
- [Ad](url): summary, hook, best quote

## What They Appear to Be Testing
1. ...
2. ...

## Recommended Tests for Us
1. ...
2. ...
3. ...

## Sources
- [Ad](url)

Common Pitfalls

Do not claim an ad is winning just because it is active. Say it is active or repeated; performance is not public unless the endpoint returns it.
Do not ignore repeated ads. Repetition is often a useful signal.
Do not invent spend, conversion rate, or targeting unless public data includes it.
Do not skip video transcripts when the user asks for hooks or messaging from video ads.