Guides Google Ads setup, campaign structure, keyword targeting, and optimization. Google Ads excels at high-intent search traffic; use when people actively search for your solution.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongoogle-adsExecute the skills CLI command in your project's root directory to begin installation:
Fetches google-ads from kostja94/marketing-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate google-ads. Access via /google-ads in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
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Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
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Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
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Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Guides Google Ads setup, campaign structure, keyword targeting, and optimization. Google Ads excels at high-intent search traffic; use when people actively search for your solution.
When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.
| Mode | When | Budget | Landing page | Metrics |
|---|---|---|---|---|
| PMF testing | Pre-PMF; validate idea before building | $47–500; start small | Simple LP: headline, benefits, problem solved, CTA ("Join Waitlist," "Get Early Access") | CTR, sign-up rate, bounce rate; low CTR/high bounce = messaging/positioning issue |
| Conversion-driven | PMF validated; commercialization | Scale; ROAS target | Full funnel; ad-to-page alignment | ROAS, CAC, conversion rate |
PMF testing: No full product needed. Build landing page with Unbounce, Carrd, or Webflow. Run ads to relevant search terms; measure clicks, engagement, signups. Test messaging (e.g., "Fastest App for Freelancers" vs "Simplest Time Tracker for Teams"), pricing (different price points in ads/LP), and audiences (keyword targeting, in-market). Allow 4–6 weeks for PMax learning phase. Use as learning tool, not just marketing channel.
Reference: Marketing Cactus – Using Google Ads to Test Product-Market Fit
Account
├── Campaign: Brand (Search)
├── Campaign: Non-Brand (Search)
├── Campaign: Competitor (Search) — optional; bid on competitor brand + "alternative"/"vs"
├── Campaign: Retargeting (Display)
└── Campaign: Performance Max
When: Bid on "[Competitor] alternative," "[Competitor] vs [You]" to intercept high-intent traffic. Google allows competitor terms as keywords; you cannot use competitor names in ad copy without permission.
Landing page: Use a dedicated landing page (comparison/alternatives page), not a blog article. Users searching competitor brands expect direct alternatives—a blog increases bounce; a comparison page matches intent and converts better. See alternatives-page-generator for structure.
Best practices:
Naming: GOOG_[Objective]_[Audience]_[Offer]_[Date] (e.g., GOOG_Search_Brand_Demo_Ongoing)
| Type | Best for |
|---|---|
| Search | High-intent queries; keyword-targeted; landing page critical |
| Display | Awareness; retargeting; broader reach |
| YouTube | Video; awareness; consideration |
| Performance Max | Automated; cross-channel; feed + search + display |
Learning period: Run at least 6 weeks for algorithm ramp-up. Works best as complement to Search, not replacement.
Asset groups: Organize by audience intent (e.g., high-intent searchers, cart abandoners, category researchers), not product category alone. Audience signals improve CPA and ROAS vs. no signals.
Asset requirements (per asset group):
Signals: Add remarketing lists and Customer Match to accelerate learning.
Weekly health check: Flag if brand terms >30% of conversions; unexpected geo conversions; any placement >15% of total spend; asset group performance below "Good."
Keyword sources: Use keyword-research for keyword list, clusters, and intent. Map each cluster to a dedicated landing page; relevance improves Quality Score and lowers CPC.
| Factor | Action |
|---|---|
| Expected CTR | Improve ad relevance; test headlines |
| Ad relevance | Align ad copy to keyword intent |
| Landing page | Ad-to-page alignment; fast load; mobile-friendly |
Target: Quality Score ≥6; higher = lower CPC, better ad rank. Benchmark: Improving Quality Score from 5 to 7 can reduce CPC by 30–50%.
| Conversions/month | Strategy |
|---|---|
| <30 | Manual CPC (smart bidding needs volume to optimize) |
| 30–50 | Target CPA; minimum for effective smart bidding |
| 50–100 | Target CPA |
| 100+ | Target ROAS |
Smart bidding: AI-powered bidding (Target CPA, Target ROAS) typically delivers better ROI than manual when conversion volume is sufficient; requires ≥30 conversions in 30 days to work effectively.
When you rank organically (position 4+) for a keyword and also run PPC, paid ads can absorb clicks that would go to organic. Audit: Cross-reference GSC organic rankings with Search Terms report. If organic ranks well, test pausing PPC on those terms to free budget for higher-impact keywords.
Reference: Backlinko – SEO and PPC: 8 Smart Ways to Align
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
kostja94/marketing-skills
kostja94/marketing-skills
kostja94/marketing-skills
kostja94/marketing-skills
skillhq/flight-search
jwynia/agent-skills
We added google-ads from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend google-ads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: google-ads is focused, and the summary matches what you get after install.
Useful defaults in google-ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend google-ads for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in google-ads — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
google-ads has been reliable in day-to-day use. Documentation quality is above average for community skills.
google-ads has been reliable in day-to-day use. Documentation quality is above average for community skills.
google-ads reduced setup friction for our internal harness; good balance of opinion and flexibility.
google-ads has been reliable in day-to-day use. Documentation quality is above average for community skills.
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