Agent skill · marketing growth · github
ad-campaign-analyzer
Use this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my ad campaigns", "where am I wasting ad spend", "reallocate my ad budget", "which ads are actually working", or "ROAS analysis". Do not trigger for campaign planning or creative generation without performance data.
Why this skill is useful
Provides detailed analysis and reallocation strategies based on ad campaign performance data that the AI wouldn't reliably generate on its own.
What it needs
About 9k tokens when loaded. Last updated 2026-08-07. 37,534 stars on the source repository.
What this skill does
Ad Campaign Analyzer Take raw campaign performance data and turn it into clear decisions. This skill doesn't just summarize metrics — it diagnoses problems, identifies winners, checks statistical significance, and tells you exactly what to cut, scale, and test next. Then it goes further: it compares channels on equal terms, finds where you're over-spending vs under-spending relative to results, and produces a concrete budget reallocation plan. Core principle: Most startup founders check their ad dashboard, see a ROAS number, and either panic or celebrate. This skill gives you the nuanced analysis a paid media specialist would: what's actually significant, what's noise, and where your next dollar should go. It also solves the allocation problem — most startups either spread budget too thin across channels (no channel gets enough to learn) or dump everything into one channel (missing cheaper opportunities elsewhere). When to Use "Analyze my Google Ads performance" "Which ads should I kill?" "Is this campaign working?" "Where am I wasting ad spend?" "Optimize my Meta Ads" "How should I split my ad budget?" "Should I spend more on Google or Meta?" "Reallocate my ad spend across channels" "Where am I getting the best return?" "I have $X/month for ads — how should I distribute it?" Phase 0: Intake 1. Campaign data — One of: CSV export from Google Ads / Meta Ads Manager / LinkedIn Campaign Manager Pasted performance table Screenshots of dashboard (we'll extract the data) 2. Platform(s) — Google / Meta / LinkedIn / All 3. Time period — What date range does this cover? 4. Monthly budget — Total ad spend in this period 5. Primary goal — What conversion are you optimizing for? (Demos / Trials / Purchases / Leads) 6. Target metrics — Do you have target CPA or ROAS? (If not, we'll benchmark) 7. Any known changes? — Did you change creative, budget, or targeting during this period? 8. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills github/ad-campaign-analyzer