name: ad-library-teardown description: 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. allowed-tools: Bash, Read, Write, WebFetch
version: 1.0.0 author: ScrapeCreators license: MIT homepage: https://scrapecreators.com repository: https://github.com/ScrapeCreators/social-media-research-skills metadata: openclaw: requires: env: - SCRAPECREATORS_API_KEY primaryEnv: SCRAPECREATORS_API_KEY homepage: https://scrapecreators.com tags: - social-media - research - scrapecreators
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 |
/v1/google/adLibrary/advertisers/search, /v1/google/company/ads | /v1/google/ad | n/a | |
/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.