Agent Skill
Ad Library Teardown skill
ad-library-teardownScrapeCreators/social-media-research-skillsskills/ad-library-teardown/SKILL.md
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.
always on
56 tokname + description
once used
751 tokSKILL.md body
bundled files
0
repo stars
4.5kGitHub
Install the Ad Library Teardown skill
Skills CLI (Claude Code, Codex, Cursor and others)
npx skills add https://github.com/ScrapeCreators/social-media-research-skills --skill ad-library-teardown
Claude Code, by hand (all projects)
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
For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.
What it costs your context
Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.
| When | What loads | Cost |
|---|---|---|
| Every session | Name and description | 56 tok |
| When the agent uses it | The SKILL.md instructions | 751 tok |
| Only if opened | No bundled files | — |
Until it is used, ad-library-teardown costs about 24× less than the median MCP server we measured (1,363 tokens on every turn). Installing all 13 skills from ScrapeCreators/social-media-research-skills would load 805 tokens of descriptions. Skills vs MCP study
Checks
Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.
Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch. The agent can use these without asking while the skill is active.
Checked 2026-10-22 · method
What's inside
The headings of its SKILL.md. Read the full file on GitHub.
- Ad Library Teardown
- Overview
- When to Use
- Data Sources
- Workflow
- Output Format
- Common Pitfalls
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