Agent skill · Content & Marketing

competitor-ad-intelligence

Research public competitor ads, analyze creative patterns and landing pages, and produce an evidence-labeled strategic teardown.

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill competitor-ad-intelligence --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 15 KB
Bundled scripts: none
Declared author: gooseworks-ai
Path: skills/competitor-ad-intelligence/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Competitor Ad Intelligence ## Overview Research competitor ads from Meta and Google, analyze creative patterns, map observable landing-page funnels, and produce a strategic teardown — hooks, formats, positioning bets, vulnerabilities, and counter-plays. **Core principle:** A competitor's public ad portfolio is partial evidence about its growth strategy. Long-running ads can indicate continued investment, but public libraries do not expose conversion performance or spend. Separate observations from hypotheses, cite every observed ad or page, and label all performance and budget inferences explicitly. ## When to Use This Skill - "What ads are my competitors running?" - "Tear down [competitor]'s ad strategy" - "Find new creative angles for our paid campaigns" - "Reverse-engineer [competitor]'s paid funnel" - "What hooks are working in [our space]?" - "Audit the ad landscape before we launch" - "Find weaknesses in [competitor]'s ad strategy" - "What format — video, image, carousel — is dominant in our category?" ## Phase 0: Intake Gather from the user: 1. **Competitor names + domains** (e.g., `apollo.io`, `clay.run`) 2. **Your product/domain** — for comparison framing 3. **Channels:*

What's inside
Steps it walks through
  1. Overview
  2. When to Use This Skill
  3. Phase 0: Intake
  4. Phase 1: Research Meta Ads
  5. Phase 2: Research Google Ads
  6. Phase 3: Analyze Creative Patterns
  7. Hook Pattern Clustering
  8. Format Distribution
  9. CTA Taxonomy
  10. Phase 4: Landing Page & Funnel Analysis
  11. Campaign Clustering
  12. Per-Campaign Funnel Analysis
  13. Budget Allocation Signals
  14. Phase 5: Strategic Analysis
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About this skill
What does the competitor-ad-intelligence skill do?

Research public competitor ads, analyze creative patterns and landing pages, and produce an evidence-labeled strategic teardown.

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill competitor-ad-intelligence --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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