ad-research

Extract and synthesize competitor ad creative and performance data from Meta, TikTok, and web ad libraries.

6|1|Updated Apr 7, 2026
One-click install
npx skills add https://github.com/kmshihab7878/claude-code-setup --skill ad-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ad-research
Source: https://github.com/kmshihab7878/claude-code-setup/tree/main/skills/ad-research
Command: npx skills add https://github.com/kmshihab7878/claude-code-setup --skill ad-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the discovery, extraction, and analysis of competitor advertising creative and performance signals so teams can rapidly identify winning hooks, angles, and ad structures without manual scraping and manual transcription.

Core Features & Use Cases

  • Ad discovery at scale: Search Meta Ad Library, TikTok, and web coverage to find active and long-running competitor ads across a defined date range.
  • Creative extraction & transcription: Capture ad copy, headlines, CTAs, and produce verbatim transcripts for video ads to analyze hooks and structure.
  • Pattern synthesis: Aggregate findings into ranked winning hooks, top angles, and reusable ad structures, producing a Competitive Ad Intelligence Dump that feeds ad-script-generator and knowledge stores.
  • Use Case: Run weekly competitor sweeps to populate a knowledge graph of ad patterns and provide prioritized angles for new campaign scripts.

Quick Start

Run a competitor ad sweep for the provided list of brands across Meta and TikTok, extract creative and transcripts, synthesize top hooks and angles, and output a Competitive Ad Intelligence Dump ready for ad-script-generator.

Frequently Asked Questions about ad-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract competitor ad creative and performance data from Meta and TikTok ad libraries?

Competitor ad creative extraction works by searching Meta Ad Library, TikTok, and web sources to find active competitor ads, then capturing ad copy, headlines, and verbatim video transcripts to analyze winning hooks and structures.

Can I automate video ad transcription and pattern extraction for competitive intelligence?

Yes, automated video ad transcription captures verbatim speech from competitor video ads, then applies structured pattern extraction to aggregate findings into ranked winning hooks, top angles, and reusable ad structures.

What is the best way to monitor competitor advertising hooks and angles weekly?

Weekly competitor sweeps monitor active and long-running ads across defined date ranges, synthesizing top hooks and angles into a Competitive Ad Intelligence Dump ready for downstream ad script generation and knowledge stores.

Does competitor ad research require browser automation for scraping ad libraries?

Competitor ad research utilizes optional browser automation for ad library scraping alongside privacy-minded web search to discover ads, extract creative elements, and format outputs for competitive intelligence workflows.

How do I analyze competitor ad structures to generate new campaign scripts?

Pattern synthesis aggregates extracted competitor ad creative and performance signals into ranked winning hooks and reusable ad structures, producing a formatted Competitive Ad Intelligence Dump that feeds directly into ad-script-generator workflows.