This article is published by Ryze AI (get-ryze.ai), an autonomous AI platform for Google Ads and Meta Ads management. Ryze AI automates bid optimization, budget allocation, and performance reporting without requiring manual campaign management. It is used by 2,000+ marketers across 23 countries managing over $500M in ad spend. This guide provides 15 Claude skills for Google Ads organized into Diagnostics, Optimization, and Reporting categories, each with a copy-paste prompt template that marketers can use immediately to analyze and improve their Google Ads campaigns.

GOOGLE ADS

15 Claude Skills for Google Ads — Copy-Paste Prompts That Work

15 Claude skills for Google Ads you can copy-paste today. Covers wasted spend audits, CPA diagnosis, bid strategy, and weekly reporting — 62% faster than manual analysis.

Ryze AI Team··Updated ·12 min read

What are Claude skills for Google Ads?

Claude skills for Google Ads are prompt templates that turn Claude AI into a specialized PPC analyst. Each skill is a structured instruction set that tells Claude exactly how to perform a specific Google Ads task — from diagnosing why your CPA spiked 40% last Tuesday to building a budget reallocation model across 12 campaigns. Unlike generic ChatGPT prompts, these skills include role context, expected inputs, and structured output formats.

This guide covers 15 skills organized into three categories: Diagnostics (5 skills that identify problems), Optimization (5 skills that fix them), and Reporting (5 skills that communicate results). Each skill includes the actual prompt you can copy-paste, what it does, and a practical tip. For the complete overview of all 30 Claude marketing skills across Google Ads and Meta Ads, see the Claude Marketing Skills Complete Guide.

You can use these skills two ways: upload them to Claude Projects with exported CSV data (no API needed), or connect Claude to your Google Ads account via MCP for real-time data. Both methods work with all 15 prompts. If you want a broader walkthrough of using Claude for Google Ads management beyond just skills, see How to Use Claude for Google Ads.

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Diagnostic skills: find what’s broken

Diagnostic skills answer one question: what is going wrong in my account? Run these first. They analyze your campaign data and surface specific problems with severity ratings, affected spend, and root causes. The average Google Ads account has 3–5 diagnosable issues at any given time — most go unnoticed for weeks.

Skill 01

Wasted Spend Audit

Scans your search terms report and flags every term that spent money without converting. Google’s own data shows 28% of search ad clicks come from irrelevant queries. This skill finds them in under 2 minutes and outputs a prioritized negative keyword list with estimated monthly savings.

Copy-paste promptYou are a senior Google Ads analyst specializing in waste reduction. Analyze my search terms report (attached/pasted below) and identify: 1. Search terms with $25+ spend and zero conversions 2. Search terms irrelevant to [YOUR PRODUCT/SERVICE] 3. Search terms with CTR below 1% and 100+ impressions 4. Duplicate/overlapping search terms cannibalizing each other For each flagged term, provide: - The search term - Spend to date - Impressions and clicks - Why it should be negative (irrelevant, low-intent, duplicate) - Recommended match type (exact, phrase, or broad negative) Output as a table sorted by spend (highest first). End with: total recoverable spend/month and a ready-to-import negative keyword list.

Tip: Export your search terms report for the last 30 days with all columns. The more data you give Claude, the more accurate the waste identification.

Skill 02

CPA Spike Diagnosis

Identifies the root cause when your cost per acquisition suddenly jumps. CPA spikes have 6 common causes: audience saturation, bid strategy changes, competitor entry, landing page issues, seasonal shifts, and Quality Score drops. This skill checks all six systematically.

Copy-paste promptYou are a PPC diagnostician. My CPA increased by [X%] in the last [TIME PERIOD]. Analyze my campaign performance data (attached) and diagnose the spike by checking: 1. Bid strategy changes — did automated bidding shift targets? 2. Search term drift — are new irrelevant queries entering? 3. Quality Score drops — which keywords lost QS points and why? 4. Competitor activity — impression share changes suggesting new entrants 5. Landing page issues — conversion rate changes by device/campaign 6. Audience changes — demographic or geographic shifts in who's clicking For each potential cause found, provide: - Severity (Critical / High / Medium / Low) - Evidence from the data - Specific fix with expected CPA impact - Timeline to implement Output a ranked diagnosis with the most likely cause first.

Tip: Include both the spike period and a baseline period (the previous 30 days of normal performance) so Claude can compare.

Skill 03

Quality Score Analysis

Breaks down Quality Score components (expected CTR, ad relevance, landing page experience) across all keywords and identifies which ones are dragging down your account. A 1-point QS improvement reduces CPC by 13% on average. This skill finds the highest-impact keywords to fix first.

Copy-paste promptYou are a Quality Score optimization specialist for Google Ads. Analyze my keyword report (attached) with Quality Score data and provide: 1. Distribution: how many keywords are at QS 1-3, 4-6, 7-10 2. Revenue impact: estimated cost savings if all QS 1-6 keywords reached QS 7 3. Component breakdown: for each low-QS keyword, which component is "Below Average" (Expected CTR, Ad Relevance, or Landing Page Experience) 4. Priority fixes: top 10 keywords where QS improvement would save the most money 5. Ad group restructuring: suggest tighter ad group themes where keyword-to-ad relevance is weak For each priority keyword, provide: - Current QS and components - Monthly spend and CPC - Specific recommendation (rewrite ad, restructure ad group, update landing page) - Estimated CPC reduction from fixing Sort by potential monthly savings (highest first).

Tip: Export keywords with the Quality Score columns (overall QS, expected CTR, ad relevance, landing page experience) from the Google Ads interface.

Skill 04

Search Term Leakage Scan

Goes deeper than the Wasted Spend Audit by identifying patterns of search term leakage — systematic gaps in your negative keyword lists that let irrelevant traffic through repeatedly. Accounts with over 50 keywords typically have 15–25 negative keyword gaps that bleed $200–$2,000/month each.

Copy-paste promptYou are a search term analyst for Google Ads. Analyze my search terms report and current negative keyword lists (both attached). Find systematic leakage patterns: 1. Theme clusters: group irrelevant search terms into themes (e.g., "free," "jobs," "DIY," competitor names) 2. Missing negatives: for each theme, list specific negative keywords that would block the entire cluster 3. Match type gaps: broad match keywords triggering distant semantic matches 4. Cross-campaign bleed: same search terms appearing in multiple campaigns 5. Brand term contamination: non-brand campaigns capturing branded searches For each pattern found, provide: - Theme name and example search terms (top 5 by spend) - Total spend on this theme (last 30 days) - Recommended negative keywords with match types - Which campaigns/ad groups to apply them to Output a negative keyword implementation plan sorted by spend impact.

Tip: Export both your search terms report AND your existing negative keyword lists. Claude can find gaps only if it knows what you already block.

Skill 05

Impression Share Gap Finder

Identifies exactly where you’re losing impression share — and whether the cause is budget, rank, or both. Most advertisers leave 30–50% of available impressions on the table. This skill calculates the revenue opportunity of closing each gap and prioritizes which campaigns to fund first.

Copy-paste promptYou are a Google Ads impression share strategist. Analyze my campaign data (attached) with impression share metrics and identify: 1. Campaigns losing IS due to budget (search IS lost to budget %) 2. Campaigns losing IS due to rank (search IS lost to rank %) 3. Revenue opportunity: for each campaign, estimate additional conversions if IS reached 90% 4. Budget needed: calculate the incremental daily budget to capture lost budget-based IS 5. Rank fixes: for rank-based IS loss, identify whether the issue is bid level, QS, or ad relevance Provide a prioritized action plan: - Quick wins: campaigns where a small budget increase captures significant IS - Optimization targets: campaigns where QS/ad improvements would recover IS without more spend - Deprioritize: campaigns where the IS gap isn't worth closing (low conversion rate, high CPA) Include estimated incremental conversions and cost for each recommendation.

Tip: Include impression share columns (search IS, IS lost to budget, IS lost to rank) when exporting campaign data. These metrics are hidden by default in Google Ads.

Tools like Ryze AI automate this process — adjusting bids, reallocating budget, and flagging underperformers 24/7 without manual intervention. Ryze AI clients see an average 3.8x ROAS within 6 weeks of onboarding.

Optimization skills: fix what’s broken

Once you’ve diagnosed the problems, optimization skills tell you exactly what to change — and how. Each skill outputs actionable recommendations with expected impact estimates so you can prioritize by ROI. These 5 skills cover the optimizations that drive 80% of Google Ads improvement: negative keywords, bids, budgets, ad copy, and landing page alignment.

Skill 06

Negative Keyword Mining

Generates a comprehensive negative keyword list from your search terms data, industry knowledge, and semantic analysis. Goes beyond simple waste identification — it proactively suggests negatives you haven’t triggered yet based on your keyword themes. Well-maintained negative keyword lists reduce wasted spend by 15–30%.

Copy-paste promptYou are a negative keyword specialist for Google Ads. My business: [DESCRIBE YOUR PRODUCT/SERVICE AND TARGET CUSTOMER] My current keywords: [PASTE TOP 20 KEYWORDS OR ATTACH KEYWORD REPORT] My current negatives: [PASTE OR ATTACH EXISTING NEGATIVE LIST] Generate a comprehensive negative keyword list: 1. From search terms data: negatives based on actual irrelevant queries (attach report) 2. Industry negatives: common terms in my industry that indicate non-buyer intent (e.g., "free," "jobs," "salary," "how to become," "DIY") 3. Semantic negatives: terms semantically close to my keywords but wrong intent 4. Competitor brand names I shouldn't bid on (unless intentional) 5. Geographic negatives: location terms outside my service area For each negative keyword provide: - The keyword - Recommended match type (exact, phrase, broad) - Which campaigns to apply it to (all, specific ones, or shared list) - Reason for blocking Group by category. End with an import-ready list formatted for Google Ads Editor.

Tip: Describe your business in detail. The more Claude knows about what you sell, the better it can identify irrelevant terms proactively.

Skill 07

Bid Strategy Selector

Evaluates your current bid strategy against alternatives and recommends the optimal approach based on your conversion volume, budget, and goals. Google offers 7 automated bid strategies — choosing the wrong one costs 15–40% in performance. This skill matches strategy to account maturity.

Copy-paste promptYou are a Google Ads bidding strategist. Analyze my campaign data (attached) and recommend the optimal bid strategy for each campaign. For each campaign, evaluate: 1. Current bid strategy and its performance trend (improving, stable, declining) 2. Conversion volume: does this campaign have 30+ conversions/month (required for tCPA) or 50+ (ideal for tROAS)? 3. Conversion value variation: is value consistent or highly variable? 4. Budget headroom: is the campaign budget-constrained? 5. Competitive landscape: what does auction insights suggest? Recommend one of: - Manual CPC (for new campaigns or <15 conversions/month) - Maximize Conversions (for scaling campaigns with uncapped budgets) - Target CPA (for campaigns with 30+ monthly conversions and consistent CPA goals) - Target ROAS (for campaigns with 50+ monthly conversions and value tracking) - Maximize Conversion Value (for ecommerce with variable order values) For each recommendation, provide: - Why this strategy fits (with data evidence) - Recommended target (tCPA or tROAS value) - Transition plan (don't switch cold — ramp over 2 weeks) - Expected performance change (% CPA reduction or conversion increase) - Risk factors and monitoring metrics

Tip: Include at least 90 days of campaign data. Bid strategy recommendations need historical conversion volume and variance data to be accurate.

Skill 08

Budget Reallocation Model

Analyzes performance across all campaigns and builds a reallocation plan that shifts spend from low-performers to high-performers. Most accounts have 20–40% of budget trapped in underperforming campaigns. This skill models the impact of reallocation before you make changes — showing projected conversions and ROAS at different budget splits. For a deeper look at budget optimization approaches, see 30 Claude Skills for Google & Meta Ads.

Copy-paste promptYou are a budget optimization analyst for Google Ads. My total monthly Google Ads budget: $[AMOUNT] Campaign data attached (include: campaign name, spend, conversions, CPA, ROAS, impression share lost to budget). Build a budget reallocation model: 1. Current state: rank all campaigns by efficiency (conversions per dollar) 2. Identify donors: campaigns with high CPA, low ROAS, or declining conversion rates 3. Identify recipients: campaigns with low CPA, high ROAS, and IS lost to budget 4. Model 3 scenarios: - Conservative (shift 10% of total budget) - Moderate (shift 20% of total budget) - Aggressive (shift 35% of total budget) For each scenario, show: - Which campaigns lose budget and how much - Which campaigns gain budget and how much - Projected total conversions (vs. current) - Projected blended CPA (vs. current) - Projected blended ROAS (vs. current) - Risk assessment Output as a table with before/after columns for each scenario. Recommend which scenario to implement and why.

Tip: Include impression share data. Campaigns with IS lost to budget are the best candidates for additional spend — they already convert well but are starved for volume.

Skill 09

Ad Copy A/B Generator

Generates responsive search ad variations optimized for your keywords, audience, and competitive landscape. Google requires 15 headlines and 4 descriptions per RSA — most advertisers reuse the same messaging. This skill creates differentiated variations using proven copywriting frameworks (PAS, AIDA, social proof) and pins them strategically.

Copy-paste promptYou are an expert Google Ads copywriter. My product/service: [DESCRIBE WHAT YOU SELL] Target audience: [WHO BUYS IT] Key differentiators: [WHAT MAKES YOU DIFFERENT] Top keywords for this ad group: [LIST 3-5 KEYWORDS] Current best-performing ad headlines: [PASTE IF AVAILABLE] Competitor ads I've seen: [PASTE IF AVAILABLE] Generate 2 complete RSA variations (Version A and Version B): Each RSA needs: - 15 headlines (30 chars max each): - 3 headlines with primary keyword insertion - 3 headlines with unique value propositions - 3 headlines with social proof / numbers - 3 headlines with urgency / CTA - 3 headlines with benefit-focused messaging - 4 descriptions (90 chars max each): - 1 feature-focused - 1 benefit-focused - 1 social-proof focused - 1 CTA-focused For each RSA, provide: - Pinning recommendations (which headlines to pin to positions 1, 2, 3) - Why this variation should outperform (hypothesis) - Suggested test duration based on expected traffic volume Version A should use a direct/rational approach. Version B should use an emotional/aspirational approach.

Tip: Paste your competitors’ ads (search for your keywords and screenshot the results). Claude writes better copy when it knows what the market is already saying.

Skill 10

Landing Page Match Scorer

Evaluates how well your landing pages align with the keywords and ads driving traffic to them. Keyword-to-landing-page mismatch is the #1 cause of low Quality Scores and high bounce rates. This skill scores each landing page on relevance, intent match, and conversion optimization — then tells you what to change.

Copy-paste promptYou are a landing page optimization specialist for Google Ads. Analyze the alignment between my ads and landing pages: - Ad group keywords: [LIST KEYWORDS] - Ad headlines and descriptions: [PASTE CURRENT AD COPY] - Landing page URL: [URL] - Landing page content: [PASTE PAGE TEXT OR PROVIDE URL FOR MCP FETCH] Score each landing page on (1-10 scale): 1. Message match: does the headline echo the ad and keyword intent? 2. Keyword presence: are target keywords in H1, subheads, body text? 3. Intent alignment: does the page satisfy what the searcher wanted? 4. CTA clarity: is there one clear next step above the fold? 5. Trust signals: reviews, testimonials, security badges, guarantees? 6. Mobile experience: load speed, layout, tap targets 7. Form friction: number of fields, required info, perceived effort Overall match score: weighted average (message match and intent = 2x weight) For each page scoring below 7, provide: - Specific changes to make (exact headline rewrites, section additions) - Expected QS impact (which component improves) - Expected conversion rate impact - Priority level (Critical / High / Medium)

Tip: If using MCP, Claude can fetch your landing page directly. Otherwise, paste the full page text — headers, body copy, CTA text, and form fields.

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Reporting skills: communicate results clearly

Reporting skills turn raw Google Ads data into narratives your team, clients, or C-suite can act on. The average PPC manager spends 5–8 hours per week on reporting. These 5 skills reduce that to under 30 minutes — and produce more actionable reports than most humans write.

Skill 11

Weekly Performance Digest

Generates a structured weekly report with trend analysis, anomaly flags, and next-week action items. Includes week-over-week and month-over-month comparisons. Designed to be sent directly to stakeholders without editing — uses plain language, not jargon.

Copy-paste promptYou are a performance marketing analyst writing a weekly report for stakeholders. Data attached: this week's campaign performance vs. last week and same week last month. Generate a Weekly Performance Digest with these sections: 1. EXECUTIVE SUMMARY (3 sentences max) - Overall spend, conversions, CPA, ROAS this week - The single biggest win and single biggest concern 2. KEY METRICS TABLE - Columns: Metric | This Week | Last Week | WoW Change | Same Week Last Month | MoM Change - Rows: Spend, Impressions, Clicks, CTR, CPC, Conversions, CPA, Conv. Rate, Revenue, ROAS 3. CAMPAIGN HIGHLIGHTS (top 3 performers and bottom 3) - What changed and why (data-backed explanation, not speculation) 4. ANOMALIES & FLAGS - Any metric that moved more than 15% WoW with possible cause - Any campaign that spent >20% of budget with zero conversions 5. NEXT WEEK ACTION ITEMS (3-5 specific, prioritized tasks) - Each item: what to do, expected impact, who should own it Keep language clear and non-technical. Use actual numbers, not vague descriptions.

Tip: Export this week and last week as separate CSVs with identical column structure. Include a note about any known changes (new campaigns launched, paused ads, budget shifts).

Skill 12

Anomaly Detection Alert

Scans your account for statistical anomalies — metrics that deviate from their historical baseline by more than 2 standard deviations. Catches problems that daily monitoring misses: gradual CPC creep, slow conversion rate decay, impression share erosion. Most anomalies are invisible until they’ve been bleeding budget for 7–14 days.

Copy-paste promptYou are a statistical anomaly detector for Google Ads accounts. Data attached: daily campaign metrics for the last 60 days. For each campaign and each metric (CPC, CTR, CPA, conversion rate, impression share, spend): 1. Calculate the 30-day rolling average and standard deviation 2. Flag any day in the last 7 days where the metric is >2 standard deviations from the mean 3. Identify trends: is the metric gradually shifting (>5% drift over 30 days)? For each anomaly found, provide: - Campaign name and metric affected - Current value vs. 30-day average - How many standard deviations from the mean - Direction (spike up or drop down) - Severity: Critical (>3 SD), Warning (>2 SD), Watch (trend drift) - Likely cause (cross-reference with other metric changes) - Recommended action Output as an alert dashboard sorted by severity (Critical first). End with: "No anomalies detected" for any campaign that is performing within normal bounds.

Tip: Daily-level data for 60 days gives Claude enough history to calculate meaningful baselines. Weekly data is too coarse for anomaly detection.

Skill 13

Executive Summary Generator

Creates a one-page executive summary from your Google Ads data — written for CMOs and VPs who have 2 minutes and need the “so what.” Translates PPC jargon into business impact: not “CPA dropped 12%” but “we’re acquiring customers for $8 less each, saving $4,200/month at current volume.”

Copy-paste promptYou are writing a Google Ads executive summary for a C-suite audience. Data attached: monthly campaign performance data. Business context: [BRIEFLY DESCRIBE THE BUSINESS AND ITS GOALS] Generate a 1-page executive summary: 1. HEADLINE STAT (one sentence, biggest takeaway) Example: "Google Ads generated $127K in revenue at 4.2x ROAS this month — up 18% from last month." 2. PERFORMANCE DASHBOARD (4 key metrics only) - Revenue | Conversions | CPA | ROAS - Each with month-over-month trend arrow and percentage change 3. WHAT WORKED (2-3 bullets, plain language) - Translate PPC metrics into business outcomes - BAD: "CTR improved 0.3 points" / GOOD: "More qualified prospects are clicking our ads" 4. WHAT NEEDS ATTENTION (1-2 bullets) - Business impact framing, not technical details - Include estimated dollar impact of inaction 5. NEXT MONTH'S PLAN (2-3 bullets) - What you'll change and the expected business outcome - Budget recommendation if applicable Keep under 400 words. No jargon. Write like you're emailing the CEO.

Tip: Tell Claude who will read this summary. “Write for a CEO who cares about revenue” produces different output than “write for a CMO who cares about brand awareness.”

Skill 14

Competitor Benchmark Report

Analyzes your auction insights data alongside industry benchmarks to show how you stack up against competitors. Answers the questions advertisers ask most: “Are we paying too much?” “Are our competitors outspending us?” “Where are we winning and losing?” The average Google Ads industry CPC varies from $1.16 (ecommerce) to $6.75 (legal) — context matters.

Copy-paste promptYou are a competitive intelligence analyst for Google Ads. Data attached: - My campaign performance data (last 30 days) - Auction insights report (last 30 days) My industry: [YOUR INDUSTRY] Generate a Competitor Benchmark Report: 1. COMPETITIVE LANDSCAPE - Who are my top 5 auction competitors? (from auction insights) - Impression share comparison: me vs. each competitor - Overlap rate and position-above-rate for each 2. PERFORMANCE BENCHMARKING - My CPC vs. industry average for [INDUSTRY] - My CTR vs. industry average - My conversion rate vs. industry average - Verdict: am I above, at, or below benchmark? 3. COMPETITIVE GAPS - Campaigns where competitors consistently outrank me - Time-of-day or device segments where I lose position - Keywords where competitor overlap is highest 4. STRATEGIC RECOMMENDATIONS - Where to increase aggression (I'm close to winning) - Where to defend (competitors gaining share) - Where to retreat (not cost-effective to compete) Include estimated budget needed to close the top 3 competitive gaps.

Tip: Export the Auction Insights report at the campaign level. Include both search and shopping auction insights if you run both campaign types.

Skill 15

ROAS Forecasting Model

Projects your ROAS for the next 30, 60, and 90 days based on historical trends, seasonality, and planned changes. Helps answer the budget question every advertiser faces: “If I increase spend by 25%, will ROAS hold or decline?” The model accounts for diminishing marginal returns — the curve that makes doubling budget rarely double results.

Copy-paste promptYou are a performance forecasting analyst for Google Ads. Data attached: daily campaign metrics for the last 90 days (minimum 60 days). Planned changes: [LIST ANY UPCOMING CHANGES — budget increases, new campaigns, seasonal events] Build a ROAS forecast model: 1. HISTORICAL ANALYSIS - Monthly ROAS trend (last 3 months) - Identify seasonality patterns (day-of-week, month-of-year effects) - Calculate the ROAS decay curve: how does ROAS change as spend increases? 2. BASELINE FORECAST (no changes) - Projected ROAS for next 30, 60, 90 days at current spend - Confidence interval (optimistic, expected, pessimistic) 3. SCENARIO MODELING - Scenario A: increase total spend by 15% — projected ROAS and incremental conversions - Scenario B: increase total spend by 25% — projected ROAS and incremental conversions - Scenario C: decrease spend by 10% and reallocate to top performers — projected ROAS 4. RISK FACTORS - Seasonal risks (holiday periods, industry events) - Diminishing returns threshold: at what spend level does ROAS drop below target? - Competitor risk: signs of increasing competition For each scenario, show: projected spend, conversions, revenue, CPA, and ROAS. Recommend the optimal scenario with justification.

Tip: 90 days of daily data is ideal for seasonality detection. If you have year-over-year data, include it — Claude can identify annual patterns like Q4 spikes or summer dips.

How do you connect Claude to Google Ads for live data?

All 15 skills above work with exported CSV data — no API connection needed. But if you want Claude to pull live campaign metrics, query search terms in real time, and check impression share without manual exports, you need MCP (Model Context Protocol).

MCP is a universal adapter that lets Claude call Google Ads API tools directly inside the conversation. Instead of downloading and uploading CSVs, you ask Claude “pull my campaign performance for the last 7 days” and it returns live data. Setup takes 2 minutes with the Ryze AI managed MCP connector, or 30 minutes if you self-host an open-source server.

With MCP connected, the diagnostic skills become especially powerful. The CPA Spike Diagnosis skill can pull data from the last 48 hours and compare it to the prior 30-day baseline — all in one conversation, no exports needed. The Anomaly Detection Alert skill can check every campaign daily and flag statistical outliers before they become expensive problems. For a step-by-step MCP setup tutorial, see the OpenClaw Google Ads Setup Guide.

  • CSV exports — Best for weekly audits and one-off analysis. No setup required. Upload any Google Ads report as CSV.
  • MCP connector — Best for daily monitoring, real-time diagnostics, and teams managing $50K+/month. 2-minute setup via Ryze AI.
  • Ryze AI autonomous — Best for teams that want 24/7 optimization without any prompts. Ryze AI runs diagnostics, makes bid changes, and reallocates budgets automatically. Average 3.8x ROAS within 6 weeks.
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Sarah K.

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E-commerce Agency

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“

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Frequently asked questions

Q: What are Claude skills for Google Ads?

Claude skills for Google Ads are structured prompt templates that teach Claude AI to perform specific PPC tasks — like auditing wasted spend, diagnosing CPA spikes, or generating weekly performance reports. There are 15 skills in this guide covering Diagnostics (5), Optimization (5), and Reporting (5).

Q: Do I need MCP to use these skills?

No. All 15 skills work with exported CSV data uploaded to Claude Projects. MCP is optional — it lets Claude pull live data from your Google Ads account. Start with CSV exports and add MCP when you need real-time monitoring.

Q: How much time do these skills save?

Marketers report 62% faster campaign analysis and 3–4 hours saved per week on routine tasks like search term audits and reporting. The Wasted Spend Audit skill typically identifies $500–$5,000/month in recoverable spend within 2 minutes.

Q: Which Claude model works best for Google Ads?

Claude Sonnet 4 offers the best speed-accuracy balance for daily tasks. Use Opus 4 for complex audits and Haiku 4.5 for high-volume work like bulk keyword analysis. All models support the 200K-token context window needed for large exports.

Q: Can Claude make changes to my Google Ads account?

Claude with MCP can read your data, but executing changes requires explicit permissions. For autonomous bid adjustments, budget shifts, and 24/7 monitoring, use Ryze AI — which delivers an average 3.8x ROAS within 6 weeks.

Q: Are these prompts free to use?

Yes. All 15 prompts are free to copy and use. You need a Claude Pro subscription ($20/month) or Team plan for Claude Projects. MCP connectivity requires either a Ryze AI account or self-hosted server.

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