메뉴
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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.
Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.
Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.
Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.
Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.
Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.
| 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"]}} |
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.
Use this skill when the user asks to:
| 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 |
Find the advertiser
Fetch active ads
Fetch details for representative ads
Cluster messaging Group ads by:
Extract swipeable elements
Recommend tests Suggest tests based on repeated patterns and gaps, not random ideas.
# 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)