meta-ads-library

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Research competitor Facebook and Instagram ads from the Meta Ads Library via the Hyper MCP — search by keyword, pull full ad creative and metadata, enrich with page contact info for lead generation, and surface structured ad-intelligence summaries in chat. Use when the user wants to scrape the Meta Ads Library, spy on competitor ads, monitor new ads in a category, build a lead list from advertisers, or surface creative trends across an industry.

AI & Automation 90 stars 18 forks Updated today MIT

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Quality Score: 92/100

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Frontmatter 20%
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Documentation 15%
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Issue Health 10%
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License 10%
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Description 5%
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Skill Content

# Meta Ads Library Guide for searching the Meta Ads Library and producing structured competitor ad intelligence. The skill's job is to turn raw scraped ads into useful summaries: top advertisers, common CTAs, recurring hooks, recently launched creatives, and (optionally) enriched lead lists. All output is presented inline in chat — there is no database or persistence layer. ## Out of scope — defer to other skills | Request | Send them to | | --- | --- | | Multi-source competitor research (site, social, search rank, etc., not just ads) | [`competitor-intel`](../competitor-intel) | | Generating *new* ad creative based on what you found | [`ad-creative-generation`](../ad-creative-generation) | ## Requirements - **Hyper MCP installed and connected.** [https://app.hyperfx.ai/mcp](https://app.hyperfx.ai/mcp) - **Apify integration connected** at [https://app.hyperfx.ai/apps](https://app.hyperfx.ai/apps) — the Meta Ads Library tools run via Apify under the hood. If `search("meta_ad_library_ads_search")` does not find `meta_ad_library_ads_search`, stop and tell the user to enable Hyper MCP and connect Apify. ### How to run the tools in this skill Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you: | Surface | Find a tool | Run it | | --- | --- | --- | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` | | Hyper CLI | `hyperai search "<wha...

Details

Author
hyperfx-ai
Repository
hyperfx-ai/marketing-skills
Created
5 months ago
Last Updated
today
Language
Python
License
MIT

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