ads

Plan, optimize, and scale paid advertising campaigns across Google, Meta, LinkedIn, and TikTok.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/NicolaeRotaru/ad-mycity --skill ads-nicolaerotaru
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ads
Source: https://github.com/NicolaeRotaru/ad-mycity/tree/main/.cursor/skills/ads
Command: npx skills add https://github.com/NicolaeRotaru/ad-mycity --skill ads-nicolaerotaru

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Running paid ads without a system leads to wasted budget, premature campaign kills, and creative fatigue. This Skill provides structured playbooks for campaign strategy, audience targeting, bidding, and kill/keep/scale decisions across major ad platforms, adapted to the MyCity local marketplace context in Piacenza. ## Core Features & Use Cases - Platform Playbooks: Decision systems for Meta (Andromeda-era creative volume, broad targeting), Google Search (intent ladders, match types, negatives), LinkedIn B2B (bidding progression, audience sizing), and ABM campaigns. - Creative & Copy Frameworks: PAS and BAB formulas, identity-trigger keywords, RSA output specs, retargeting frameworks, and headline-mirroring for landing page alignment. - Optimization Discipline: Kill rules, breakeven CPA/ROAS math, budget scaling in ~20% increments, fatigue bands, and weekly review checklists. - Use Case: A marketer launching Meta ads for a local marketplace asks when to kill an underperforming ad set; the Skill loads the Meta decision system and applies TCPL-anchored thresholds instead of guessing. ## Quick Start Ask the assistant to build a Meta ads testing plan for a local marketplace with a 500 euro monthly budget, including creative angles and kill criteria.

Frequently Asked Questions about ads

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

FAQPage Schema
How do I decide when to kill an underperforming Meta ad?▼

Use the Meta decision system playbook, which anchors kill decisions to a target cost per lead with defined spend thresholds and fatigue bands. The Skill routes operational kill/keep/scale questions to that reference rather than giving generic advice.

What is the best Google Ads account structure for search campaigns?▼

The Google Search playbook covers an intent ladder, match-type gates, negative keyword strategy, and bidding by conversion volume. It also includes Performance Max guardrails and offline conversion setup for lead-quality feedback.

Does broad targeting work better than interest stacking on Meta?▼

In the Andromeda era, broad targeting with specific creative typically outperforms interest stacking. The recommended test is duplicating your best ad, removing all interest filters, and comparing CPAs side by side for seven days.

How should I split budget between testing and scaling campaigns?▼

During the first two to four weeks, allocate roughly 70% to proven campaigns and 30% to testing new audiences and creative. When scaling, increase budgets about 20% at a time and wait three to five days between increases.

Can this Skill generate Google responsive search ads?▼

Yes, but RSA generation must follow the mandatory rsa-output-spec reference, which enforces character limits, required sidecar artifacts like sitelinks and negatives, output ordering, and a pre-send self-check.

What are the limitations of this advertising Skill?▼

It provides strategy, playbooks, and draft assets but does not publish live campaigns; publishing requires human approval in the MyCity workflow. It also prohibits invented metrics or testimonials, requiring real data or explicit placeholders.