Claude Skills for Google Ads: 5 We Use

Claude skills for Google Ads are reusable operating instructions for narrow account tasks. We use five across $6 million per month in spend: account auditing, search-term scoring, starter negative keywords, conversion retraction, and funnel bottleneck diagnosis. Each prepares evidence and a proposed action. A growth manager still owns the decision.

A Claude skill is more than a saved prompt. Anthropic’s Claude Code skill documentation defines skills as reusable instructions stored with a description and optional supporting resources. In paid media, that structure matters because the same task needs the same inputs, checks, output, and approval rule every time.

The five skills below do not replace account strategy. They reduce repetitive inspection and make the operator’s judgment easier to apply consistently.

The five Claude skills for Google Ads at a glance

Each skill should have one job. Combining auditing, optimization, reporting, and account changes into one giant prompt makes the output hard to test and harder to trust.

That division keeps every workflow reviewable. It also creates a natural stop condition. If the required data is missing, the skill should say what is missing instead of guessing.

Skill 1: Audit the account before suggesting fixes

The audit skill takes a consistent 90-day export or the key account data your team already uses. It scores seven areas from 1 to 10, checks conversion tracking first, and returns a fix list ordered by impact.

Tracking comes first because every conclusion after it depends on the conversion signal. If the primary action is broken, duplicated, delayed, or pointed at a shallow event, a campaign can look efficient while sending budget toward the wrong outcome. Google’s own conversion tracking troubleshooting guide starts with implementation checks, tag status, optimization settings, and reporting latency.

A useful audit output should separate facts from hypotheses:

1. Observed fact: the conversion action shows a configuration warning.
2. Likely impact: reported CPA may not reflect all qualified outcomes.
3. Evidence needed: test conversion, tag diagnostics, and CRM comparison.
4. Proposed next step: repair measurement before changing bids or budget.

The failure mode is a generic checklist that marks every deviation as a problem. A brand campaign, low-volume enterprise Search campaign, and high-volume ecommerce campaign should not share the same healthy ranges. The skill needs account context and should route uncertain findings to an operator. Our full Google Ads audit checklist shows the broader inspection sequence.

Skill 2: Score search terms against the actual offer

The scoring skill reads a search terms report and a plain-language description of what the company sells. It rates every query for relevance, explains the score, and returns a proposed block of negative keywords for review.

The search term is the phrase a person actually typed. It is different from the keyword that entered the auction. Google’s search terms report documentation explains that the report shows the searches that triggered ads and can surface both useful keyword ideas and exclusions.

A reliable scoring record includes:

• Search term
• Triggering keyword and match type
• Campaign and ad group
• Spend, clicks, and qualified conversions
• Relevance score
• Intent category
• Proposed negative match type
• Proposed scope
• Written reason and confidence

The skill can prioritize thousands of rows. It should not upload negatives without review. A query that looks irrelevant in isolation may fit a secondary product, a geographic modifier, or a high-value use case the model was not given. One wrong broad negative at the account level can block valid demand across many campaigns.

Our AI negative-keyword workflow covers the scoring and approval process in detail. The important boundary is simple: Claude prepares the review queue, and the growth manager decides what gets excluded.

Skill 3: Build a starter negative-keyword list

The starter-list skill is for a new account with no search-term history. It takes the business description, target customers, locations, offers, and ranking goals, then builds categorized day-one exclusions.

This is a different job from scoring live search terms. The scorer works from observed queries. The starter skill works from known wrong-intent categories such as jobs, support, free tools, education, DIY research, unrelated products, or locations the company cannot serve.

Google notes that negative match types work differently from positive match types and do not automatically cover every close variant. Its negative keyword guide also warns that too many exclusions can reduce reach. That is why a useful starter list groups terms by reason and recommends a cautious match type instead of producing one unreviewed wall of phrases.

Do not use this skill to predict every bad query before launch. Use it to remove obvious waste, then let real search-term data improve the list. New accounts need room to learn what qualified demand actually looks like.

Skill 4: Retract conversions that should not train bidding

The conversion-retraction skill takes disqualified leads from the CRM or data warehouse, formats the required identifiers, and prepares a daily conversion adjustment for Google Ads.

A retraction removes a conversion that should no longer count. Examples include a fake lead, an existing customer submitted as net-new demand, a job seeker, or a prospect outside the service area. Google’s conversion adjustment documentation says a retraction permanently removes the conversion from the count and can affect CPA or ROAS bidding.

That permanence is the main risk. The skill needs a precise disqualification rule, the original conversion action name, the correct transaction or click identifier, and an audit log. It should reject incomplete records rather than filling gaps. Google also notes that a retracted conversion cannot simply be adjusted again, so the CRM status needs to be settled before upload.

This workflow gives bidding a cleaner lesson: stop finding more people who resemble leads that never had a chance to buy. Our guide to negative conversions in Google Ads explains the mechanics and timing in depth.

Skill 5: Find the first broken funnel stage

The bottleneck skill walks from cost per click through landing-page conversion, lead quality, opportunity rate, and revenue. It compares each stage with an approved target or healthy range, then returns one bottleneck, one verdict, and the evidence behind it.

The point is not to list every red metric. It is to find the first meaningful break in the chain. If cost per qualified lead is high because click-to-lead conversion fell, changing the tCPA target treats the symptom. If click-to-lead conversion is stable but qualification rate collapsed, the problem may be query mix, offer fit, form quality, or sales follow-up.

A useful diagnosis should show:

The skill should recommend a test tied to the broken stage, not a broad campaign overhaul. Our marketing funnel analysis framework covers how to trace the problem, rule out causes, and change one variable at a time.

How to build a Google Ads skill your team can trust

A useful skill starts with an existing operating procedure. It does not start with a clever prompt.

1. Name one decision or output. “Audit conversion tracking” is testable. “Optimize Google Ads” is not.
2. List the authoritative inputs. Define exact reports, fields, date ranges, CRM statuses, and account context.
3. Write the decision rules. Include thresholds, exceptions, and cases that require human judgment.
4. Define the output. Use a stable table, scorecard, upload file, or decision record.
5. Add stop conditions. Missing conversion data, conflicting definitions, thin volume, or unknown scope should stop the run.
6. Test known cases. Compare the skill with decisions an experienced operator already made.
7. Log failures and edge cases. Update the instructions when the team finds a repeatable miss.
8. Keep account changes behind approval. Read-only analysis is the safest starting point.

This is how the five skills improved. Our team updates them when live accounts expose an edge case, an error, or a better workflow. The operating knowledge stays attached to the task instead of disappearing in chat history.

When not to use Claude for Google Ads

Do not use a skill when the input data is unreliable, the team cannot define a correct answer, or one mistake could create a large account impact. Keep the task manual until the measurement and decision rules are stable.

A skill is also a poor fit for strategic choices that depend on client context the model cannot see. Budget tradeoffs, offer changes, market expansion, and final creative judgment need a responsible operator. Claude can organize evidence and pressure-test a plan. It should not pretend uncertainty is certainty.

The takeaway

Claude skills for Google Ads work when each one owns a narrow job, reads approved data, explains its evidence, and stops before a risky account action. Start with auditing, search-term scoring, starter negatives, conversion retraction, or funnel diagnosis. Test the skill against real operator work, then improve it as new edge cases appear.

TNT Growth builds paid-media and measurement systems for brands spending $75K+/mo. Explore our Google Ads and growth services, use the free resources in the TNT skill repository, or book a call to map the first workflow your team should systematize.