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DataPython

Competitor Ad Intelligence

by AgriciDaniel

Competitor Ad Intelligence is a Data skill for Claude Code, published by AgriciDaniel in claude-ads.

8.1K stars1.2K forkson AgriciDaniel/claude-adsAdded 2026/08/15+1% in starsRepository updated 2026/07/13
agent-skillsaiai-marketingclaude-codeclaude-code-skillgoogle-adsmarketing-automationmeta-adsopen-sourcepaid-advertisingppc
Install in seconds
Install Competitor Ad Intelligence
Copy Competitor Ad Intelligence into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/AgriciDaniel/claude-ads/tree/main/skills/ads-competitor ~/.claude/skills/ads-competitor

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/AgriciDaniel/claude-ads.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/ads-competitor/SKILL.md in AgriciDaniel/claude-ads
Installs to
~/.claude/skills/ads-competitor
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What Competitor Ad Intelligence does

Competitor Ad Intelligence researches competitor paid-ad presence, messaging, creative, formats, landing pages, and keyword signals across transparent ad libraries. Use it for competitive PPC analysis and ad gap discovery without scraping private surfaces.

Competitor Ad Intelligence is cataloged under Data on DirSkills. Competitor Ad Intelligence comes from a repository tagged agent-skills, ai, ai-marketing, claude-code and claude-code-skill.

Documentation

README

Competitor Ad Intelligence

  1. Confirm named competitors, market, geography, customer, objective, and decision.
  2. Use official transparency libraries, public ads, auction data supplied by the operator, and other terms-compliant sources.
  3. Record capture date, platform, placement, observable creative/message, landing destination, and source URL.
  4. Separate direct observations from inferred audience, spend, performance, or strategy; never present estimates as account facts.
  5. Cluster durable themes, formats, offers, funnel paths, and gaps without copying protected creative or text.
  6. Return evidence-backed opportunities, risks, experiments, and source records.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Competitor Ad Intelligence

  • What else does AgriciDaniel publish alongside Competitor Ad Intelligence?

    Competitor Ad Intelligence is one of 25 skills that DirSkills catalogs from AgriciDaniel/claude-ads, the repository it ships in. Its siblings there include Ad Creative Audit, Ad Image Generator and Ads Create. Each one is a separate skill with its own page in this directory, installs the same way Competitor Ad Intelligence does, and is maintained by AgriciDaniel in that same repository. The rest of the collection is listed on the AgriciDaniel/claude-ads page.

  • How does Competitor Ad Intelligence compare to other Data skills?

    Competitor Ad Intelligence ranks #141 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Competitor Ad Intelligence against them. Open each page to compare what they document and how they install.

More from AgriciDaniel/claude-ads

Competitor Ad Intelligence is one of 25 skills cataloged on DirSkills from AgriciDaniel/claude-ads.

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