A skill your agent uses 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…

MITAuto-check: notesMarketing & SEO

Install Ad Library Teardown

skills CLI
$ npx skills add ScrapeCreators/social-media-research-skills --skill ad-library-teardown -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ScrapeCreators/social-media-research-skills ad-library-teardown --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ad-library-teardown .claude/skills/ad-library-teardown && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ad-library-teardown
GitHub stars
3.3k
Token cost
~947 tokens
SKILL.md length
301 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 6 steps: Find the advertiser → Fetch active ads → Fetch details for representative ads → …
  • The user wants to analyze active ads from Meta/Facebook
  • SKILL.md covers Overview, When to Use, Data Sources and Workflow, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ad Library Teardown is an agent skill from ScrapeCreators/social-media-research-skills. 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.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Landing pages and Video and podcast notes. It works with LinkedIn. The repository describes itself as: AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn &… The licence is MIT.

When your agent uses it

  • The user wants to analyze active ads from Meta/Facebook
  • LinkedIn ad libraries
  • Tear down a competitors messaging
  • Video transcripts

Example prompts

  • “/ad-library-teardown”

Requirements

  • A credential in SCRAPECREATORS_API_KEY
  • Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Find the advertiser
  2. Fetch active ads
  3. Fetch details for representative ads
  4. Cluster messaging
  5. Extract swipeable elements
  6. Recommend tests

What it can do on your machine

Read from SKILL.md and the folder at commit 64ba7b4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • WebFetch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ad Library Teardown loads about 947 tokens when it runs. Until then it costs about 64 tokens; SKILL.md has 301 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~64
When it runs · the whole SKILL.md, loaded when a task matches
~947

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, WebFetch

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ScrapeCreators/social-media-research-skills at commit 64ba7b4, republished under its MIT licence (© ScrapeCreators). 301 words, ~947 tokens.

Download SKILL.mdSave it as .claude/skills/ad-library-teardown/SKILL.md (or your agent's skills folder).
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

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 librarySearch/list endpointDetail endpointTranscript 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/adn/a
LinkedIn/v1/linkedin/ads/search/v1/linkedin/adn/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.
  2. 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.
  3. Fetch details for representative ads

    • Enrich the ads with detail endpoints.
    • For video Meta ads, fetch transcripts when available.
  4. Cluster messaging Group ads by:

    • pain point
    • persona
    • offer
    • proof/social proof
    • feature/benefit
    • objection handled
    • comparison/alternative angle
    • urgency/discount
  5. Extract swipeable elements

    • hooks
    • headlines
    • primary text patterns
    • CTAs
    • claims
    • offers
    • visual/creative concepts
  6. Recommend tests Suggest tests based on repeated patterns and gaps, not random ideas.

Output Format

markdown
# 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.

© ScrapeCreators, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ad-library-teardown of ScrapeCreators/social-media-research-skills.

Open the folder on GitHubat commit 64ba7b4

Compare with similar skills

Ad Library Teardown next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ad Library Teardown compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ad Library Teardown this skillScrapeCreators/social-media-research-skills3.3k—~947Automated safety check: NotesMIT
Ad Creativeindranilbanerjee/digital-marketing-pro8541 repos~1.7kAutomated safety check: PassMIT
Link In Bio And Trafficsocial-media-skills/skills116—~1.5kAutomated safety check: PassMIT
Marketing OsYuzzyuk/marketing-os535—~2.5kAutomated safety check: PassMIT
Apify Ads Intelligenceapify/awesome-skills262—~4.2kAutomated safety check: NotesApache-2.0
Ad Creative Builderaaron-he-zhu/aaron-marketing-skills2.9k2 repos~2.2kAutomated safety check: PassApache-2.0

Similar skills

  • Ad Creative

    indranilbanerjee/digital-marketing-pro

    Generate 3-5 ad copy variations per platform — headlines, descriptions, and CTAs formatted to Google, Meta, LinkedIn, TikTok, X, and Pinterest specs — each scored 1-10 with policy-compliance flags…

    854 GitHub starsUsed in 1 repo~1.7k tokens
    Marketing & SEOAuto-check passed
  • Link In Bio And Traffic

    social-media-skills/skills

    Link-in-bio and traffic strategy — convert social reach into clicks, subscribers, and owned audience.

    116 GitHub stars~1.5k tokensUpdated 6 days ago
    Marketing & SEOAuto-check passed
  • Marketing Os

    Yuzzyuk/marketing-os

    A complete marketing department in one skill. An agent skill from Yuzzyuk/marketing-os.

    535 GitHub stars~2.5k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • Apify Ads Intelligence

    apify/awesome-skills

    Official

    Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X…

    262 GitHub stars~4.2k tokensUpdated 15 days ago
    Marketing & SEOAuto-check: notes
  • Ad Creative Builder

    aaron-he-zhu/aaron-marketing-skills

    A skill your agent uses when the user asks to "write ad copy", "generate RSA headlines", or "build ad creative at volume"; produces ad units — RSA headlines/descriptions, hooks, and an angle matrix…

    2.9k GitHub starsUsed in 2 repos~2.2k tokens
    Marketing & SEOAuto-check passed
  • Cro Optimization

    ognjengt/founder-skills

    Analyzes landing pages and provides detailed CRO (Conversion Rate Optimization) recommendations.

    406 GitHub stars~2.4k tokensUpdated 4 mo ago
    Marketing & SEOAuto-check passed

More from ScrapeCreators/social-media-research-skills

All 13 skills in this repo
  • Scrapecreators API

    ScrapeCreators/social-media-research-skills

    Scrape and extract public data from 27+ social media platforms using the ScrapeCreators REST API.

    3.3k GitHub starsUsed in 1 repo~4k tokens
    Auto-check: notes
  • Audience Research

    ScrapeCreators/social-media-research-skills

    A skill your agent uses when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments…

    3.3k GitHub stars~635 tokensUpdated 1 mo ago
    Auto-check: notes
  • Comment Mining

    ScrapeCreators/social-media-research-skills

    A skill your agent uses when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or…

    3.3k GitHub stars~1k tokensUpdated 1 mo ago
    Auto-check: notes
  • Competitor Social Research

    ScrapeCreators/social-media-research-skills

    A skill your agent uses 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…

    3.3k GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check: notes
  • Content Repurposing

    ScrapeCreators/social-media-research-skills

    A skill your agent uses 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…

    3.3k GitHub stars~564 tokensUpdated 1 mo ago
    Auto-check: notes
  • Influencer Prospecting

    ScrapeCreators/social-media-research-skills

    A skill your agent uses when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research.

    3.3k GitHub stars~629 tokensUpdated 1 mo ago
    Auto-check: notes

Works with

Questions about Ad Library Teardown

What does Ad Library Teardown do?

A skill your agent uses 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…. Ad Library Teardown is an agent skill from ScrapeCreators/social-media-research-skills. 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.

When should I use Ad Library Teardown?

Ad Library Teardown fits situations like: the user wants to analyze active ads from Meta/Facebook; linkedIn ad libraries; tear down a competitors messaging; video transcripts.

How do I install Ad Library Teardown in Claude Code?

Run `npx skills add ScrapeCreators/social-media-research-skills --skill ad-library-teardown -a claude-code`. Or copy the skill folder (skills/ad-library-teardown in ScrapeCreators/social-media-research-skills) into .claude/skills/ad-library-teardown in your project. Claude Code loads it when a task matches its description.

How do I install Ad Library Teardown in Codex?

Run `npx skills add ScrapeCreators/social-media-research-skills --skill ad-library-teardown -a codex`. Or copy the skill folder (skills/ad-library-teardown in ScrapeCreators/social-media-research-skills) into .agents/skills/ad-library-teardown in your project. Codex loads it when a task matches its description.

Can I use Ad Library Teardown in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ScrapeCreators/social-media-research-skills --skill ad-library-teardown -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ad-library-teardown, .gemini/skills/ad-library-teardown, .github/skills/ad-library-teardown and .opencode/skills/ad-library-teardown in your project.

What does Ad Library Teardown need to run?

SKILL.md names no scripts, command-line tools or credentials: Ad Library Teardown is instructions for the agent only. Our summary lists: A credential in SCRAPECREATORS_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, WebFetch.

Does Ad Library Teardown access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ad Library Teardown safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Ad Library Teardown use?

Ad Library Teardown is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ad Library Teardown use?

About 947 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ad Library Teardown?

Skills that share tags, products or a category with Ad Library Teardown: Ad Creative (indranilbanerjee/digital-marketing-pro, 854 stars), Link In Bio And Traffic (social-media-skills/skills, 116 stars), Marketing Os (Yuzzyuk/marketing-os, 535 stars) and Apify Ads Intelligence (apify/awesome-skills, 262 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ad Library Teardown?

ScrapeCreators (a GitHub organization) maintains it in ScrapeCreators/social-media-research-skills, which has 3,258 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 26, 2026.

Source: ScrapeCreators/social-media-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.