scrapecreators/social-media-research-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.

Trending #6552 First seen Jun 23, 2026

Installation

$ npx skills add scrapecreators/social-media-research-skills --skill ad-library-teardown

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 2.2K
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0
LicenseMIT
Allowed toolsBash, Read, Write, WebFetch
Declared agents clawdbot
More metadata
openclaw
{"requires":{"env":["SCRAPECREATORS_API_KEY"]},"primaryEnv":"SCRAPECREATORS_API_KEY","homepage":"https:\/\/scrapecreators.com","tags":["social-media","research","scrapecreators"]}

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,786 B
  • docs SUMMARY.md 260 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 568 installs

SKILL.md

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

  1. Find the advertiser

- Use company search endpoints when the user provides only a brand name. - Use domain/advertiser/page IDs when available.

  1. 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.

  1. Fetch details for representative ads

- Enrich the ads with detail endpoints. - For video Meta ads, fetch transcripts when available.

  1. Cluster messaging

Group ads by: - pain point - persona - offer - proof/social proof - feature/benefit - objection handled - comparison/alternative angle - urgency/discount

  1. Extract swipeable elements

- hooks - headlines - primary text patterns - CTAs - claims - offers - visual/creative concepts

  1. 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.