Ad Library Teardown

OrganizationPopular

ScrapeCreators

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.

Overview

Publisher	ScrapeCreators
Repository	`social-media-research-skills`
Skill name	`ad-library-teardown`
Stars	2.5K
Forks	27
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ScrapeCreators on GitHub. Read the source before you install it.

Installation

Install the Ad Library Teardown AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/ad-library-teardown

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git /tmp/social-media-research-skills
mkdir -p .claude/skills
cp -r /tmp/social-media-research-skills/skills/ad-library-teardown .claude/skills/ad-library-teardown

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ad Library Teardown in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ad Library Teardown on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ad Library Teardown is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

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.

Frequently asked questions

What does the Ad Library Teardown AI skill do?

Why use Ad Library Teardown on TypingMind?

Because you install it once and use it with any model. Ad Library Teardown is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ad Library Teardown in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/ad-library-teardown. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ad Library Teardown?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ad Library Teardown?

As many as you like. As long as a model supports skills, you can use Ad Library Teardown with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ad Library Teardown AI skill free?

Yes. It is published on GitHub by ScrapeCreators under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ad Library Teardown

Overview

When to Use

Data Sources

Workflow

Output Format

Common Pitfalls

Frequently asked questions

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