Google Ads Landing Page Audit
nowork-studio/notfair-plugin
Scores Google Ads landing pages on five weighted dimensions and diagnoses why high-CTR ad groups convert poorly, with concrete fixes for each page.
Diagnose landing page → conversion path problems for Google Ads traffic.
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-review --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-ads-landing-review .claude/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .claude/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-reviewType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-review --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-ads-landing-review .agents/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .agents/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-review --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-ads-landing-review .cursor/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .cursor/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/TheMattBerman/google-ads-copilot.git --path skills/google-ads-landing-review--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-review --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-ads-landing-review .gemini/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .gemini/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-reviewInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-ads-landing-review .github/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .github/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install TheMattBerman/google-ads-copilot google-ads-landing-review --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/TheMattBerman/google-ads-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-ads-landing-review .opencode/skills/google-ads-landing-review && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "google-ads-landing-review" agent skill from https://github.com/TheMattBerman/google-ads-copilot/tree/main/skills/google-ads-landing-review into .opencode/skills/google-ads-landing-review/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-ads-landing-review", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
google-ads-landing-reviewDiagnose landing page → conversion path problems for Google Ads traffic.
Google Ads Landing Review is an agent skill from TheMattBerman/google-ads-copilot. Diagnose landing page → conversion path problems for Google Ads traffic. Separates tracking failures from UX/path failures — the two most commonly confused sources of "low conversion rate." Pulls ad and campaign data via MCP, then reviews landing pages via browser or URL fetch to assess message match, load issues, form friction, and conversion path completeness. Produces a landing-review draft when problems are found.
Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Paid advertising and Landing pages. It works with Google Ads and Model Context Protocol. The repository describes itself as: Google Ads Copilot: operator kit for audits, MCP-connected reads, export-mode analysis, and draft/apply workflows. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2c253ee. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are sql and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Google Ads Landing Review loads about 4.1k tokens when it runs. Until then it costs about 112 tokens; SKILL.md has 1,505 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from TheMattBerman/google-ads-copilot at commit 2c253ee, republished under its MIT licence (© TheMattBerman). 1,505 words, ~4,052 tokens.
.claude/skills/google-ads-landing-review/SKILL.md (or your agent's skills folder)."The landing page isn't converting" is the most common complaint in Google Ads. But it hides two completely different root causes:
Most operators (and most clients) assume path failure when the numbers look bad. Half the time, it's a tracking failure. Conflating the two wastes months.
This skill separates them.
Read first:
google-ads/references/operator-thesis.mdgoogle-ads/references/tracking-playbook.mdgoogle-ads/references/structure-playbook.mdRead workspace if available:
workspace/ads/account.mdworkspace/ads/goals.mdworkspace/ads/findings.mdworkspace/ads/drafts/_index.md — check for existing tracking drafts"Landing page isn't converting"
│
┌────┴────┐
│ │
FORK A FORK B
Tracking Path/UX
│ │
Is the Is the page
signal actually
correct? failing?Always run Fork A first. If tracking is broken, Fork B conclusions are unreliable.
1. Does a conversion action exist for the goal on this page?
include_in_conversions_metric = TRUE)?2. Does the tag actually fire?
3. Is the conversion path end-to-end intact?
4. Cross-domain / redirect issues?
5. Auto-tagging?
6. Attribution window?
Conversion actions for this campaign:
SELECT
conversion_action.name,
conversion_action.type,
conversion_action.category,
conversion_action.counting_type,
conversion_action.include_in_conversions_metric,
conversion_action.status,
metrics.conversions,
metrics.all_conversions
FROM conversion_action
WHERE segments.date DURING LAST_30_DAYS
AND conversion_action.status = 'ENABLED'
ORDER BY metrics.conversions DESCCampaign-level conversion data:
SELECT
campaign.name,
campaign.final_url_suffix,
metrics.clicks,
metrics.conversions,
metrics.all_conversions,
metrics.cost_micros,
metrics.cost_per_conversion
FROM campaign
WHERE campaign.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.clicks DESCAd-level landing page URLs and performance:
SELECT
campaign.name,
ad_group.name,
ad_group_ad.ad.final_urls,
ad_group_ad.ad.type,
metrics.clicks,
metrics.impressions,
metrics.conversions,
metrics.cost_micros
FROM ad_group_ad
WHERE campaign.status = 'ENABLED'
AND ad_group_ad.status = 'ENABLED'
AND segments.date DURING LAST_30_DAYS
ORDER BY metrics.clicks DESC
LIMIT 50Landing page experience (quality score indicators):
SELECT
campaign.name,
ad_group.name,
ad_group_criterion.keyword.text,
ad_group_criterion.quality_info.quality_score,
ad_group_criterion.quality_info.post_click_quality_score,
ad_group_criterion.quality_info.creative_quality_score,
ad_group_criterion.quality_info.search_predicted_ctr
FROM keyword_view
WHERE campaign.status = 'ENABLED'
AND ad_group.status = 'ENABLED'
AND ad_group_criterion.status = 'ENABLED'
ORDER BY ad_group_criterion.quality_info.post_click_quality_score ASC
LIMIT 50| Tracking Status | Meaning | Next Step |
|---|---|---|
| Clean | Tag fires correctly, conversion action configured right, GCLID passes | Proceed to Fork B |
| Suspicious | Tag exists but volume seems too low or too high vs. reality | Investigate specific break, then Fork B |
| Broken | No tag, wrong tag, or GCLID stripped | Fix tracking FIRST. Fork B is premature. |
| Unknown | Can't verify from API alone — needs manual tag inspection | Recommend Tag Assistant audit, then Fork B |
Only meaningful if Fork A shows tracking is Clean or Suspicious.
1. Search intent → Ad promise → Landing page delivery
The #1 conversion killer in Google Ads is message mismatch:
Each handoff is a potential drop:
| Handoff | Question | Failure Mode |
|---|---|---|
| Search → Ad | Does the ad answer the specific search? | Generic ad for specific intent |
| Ad → Landing | Does the LP deliver what the ad promised? | "Request a Quote" ad → page with no form |
| Landing → CTA | Is the CTA visible, clear, and low-friction? | Form buried below fold, 15 fields |
| CTA → Completion | Can the user actually complete the action? | Broken form, redirect fails, captcha blocks |
2. Specific checks (via browser or URL fetch):
3. Are different intent classes landing on different pages?
| Intent Class | Should Land On | Common Failure |
|---|---|---|
| Buyer ("buy X now") | Product/service page with CTA | Homepage |
| Comparison ("X vs Y") | Comparison content | Product page with no comparison |
| Research ("how does X work") | Educational content | Sales page |
| Local ("X near me") | Location/service area page | National homepage |
| Brand ("company name") | Homepage or brand page | Generic product page |
If multiple intent classes all route to the same generic page, that's a structure problem (→ recommend in structure draft), not a landing page problem.
4. Walk the actual path the user takes:
Click on ad
→ Landing page loads (check: speed, mobile rendering)
→ User reads headline (check: message match)
→ User finds CTA (check: visibility, clarity)
→ User clicks CTA (check: does it work?)
→ Form/checkout loads (check: friction, fields)
→ User submits (check: confirmation page loads)
→ Tag fires (check: conversion recorded)Each step is a potential break. Document where the break is.
Rate each dimension:
| Dimension | Score | Notes |
|---|---|---|
| Message match (search→ad→page) | Strong / Weak / Missing | |
| CTA clarity | Clear / Buried / Missing | |
| Form friction | Low (≤4 fields) / Medium (5-8) / High (9+) | |
| Mobile experience | Good / Adequate / Broken | |
| Page speed | Fast (<3s) / Slow (3-6s) / Broken (>6s) | |
| Trust signals | Strong / Some / None | |
| Intent specificity | Focused / Mixed / Generic | |
| Conversion path completeness | Complete / Partially broken / Broken |
web_fetch for content analysis (H1, CTA text, form fields, page structure)browser for interactive checks if needed (JavaScript-rendered pages, form testing)workspace/ads/intent-map.mdAsk the user for:
After running both forks, produce a clear classification:
Symptoms: Low/zero conversions, but page looks fine, form works, users seem to engage
Diagnosis: Tag not firing, wrong conversion action, GCLID stripped, cross-domain break
Action: Fix tracking → then reassess conversion rate with clean data
Draft type: Tracking fix (use drafts/templates/tracking-draft.md)
Symptoms: Tracking verified clean, but conversion rate is genuinely low Diagnosis: Message mismatch, buried CTA, excessive form friction, wrong page for intent Action: Landing page improvements or intent routing changes Draft type: Landing review draft (use template below) and/or structure draft
Symptoms: Tracking has issues AND the page has UX problems Diagnosis: Two independent failures compounding Action: Fix tracking first (P0), then address UX (P1) — in that order Draft types: Tracking fix draft + Landing review draft
Symptoms: Tracking clean, page is good, but conversion rate still low Diagnosis: The traffic is wrong — keywords matching wrong intent, broad match pulling junk, PMax sending Display/YouTube traffic to a Search landing page Action: Search terms analysis, negative keywords, or structure changes Draft type: Negative draft and/or structure draft (this is NOT a landing page problem)
Trigger: Fork B finds meaningful path/UX issues (at least 2 dimensions scored Weak/Missing/Broken)
Create using the template below:
workspace/ads/drafts/YYYY-MM-DD-[account-slug]-landing-review.mdworkspace/ads/drafts/_index.mdIf Fork A also finds issues, create a SEPARATE tracking fix draft — don't mix them.
# Draft: Landing Page Review — [DATE]
Status: proposed
Skill: /google-ads landing-review
Account: [Customer ID / Name]
## Summary
[One paragraph: which pages were reviewed, the primary diagnosis (tracking vs path vs both),
and the highest-priority fix.]
## Diagnostic Classification
**Primary issue:** Tracking Problem | Path/UX Problem | Both | Traffic Quality Problem
## Fork A: Tracking Status
- **Conversion action:** [Name and status]
- **Tag status:** [Fires correctly / Suspicious / Broken / Unknown]
- **GCLID passing:** [Yes / No / Unknown]
- **Auto-tagging:** [Enabled / Disabled]
- **Verdict:** [Clean / Suspicious / Broken / Unknown]
## Fork B: Path/UX Assessment
### Page: [URL]
- **Campaigns pointing here:** [list]
- **Clicks (30d):** [N]
- **Conversions (30d):** [N]
- **Implied conversion rate:** [X%]
#### Scores
| Dimension | Score | Detail |
|-----------|-------|--------|
| Message match | [Strong/Weak/Missing] | [specific observation] |
| CTA clarity | [Clear/Buried/Missing] | [specific observation] |
| Form friction | [Low/Medium/High] | [field count, issues] |
| Mobile experience | [Good/Adequate/Broken] | [specific observation] |
| Page speed | [Fast/Slow/Broken] | [load time if available] |
| Trust signals | [Strong/Some/None] | [specific observation] |
| Intent specificity | [Focused/Mixed/Generic] | [specific observation] |
| Path completeness | [Complete/Partial/Broken] | [where it breaks] |
### Proposed Changes
#### Change 1: [Specific recommendation]
- **Current state:** [what's wrong]
- **Proposed state:** [what to do]
- **Expected impact:** [on conversion rate, quality score]
- **Risk:** [what could go wrong]
- **Priority:** P0 / P1 / P2
[repeat for each change]
## Intent Routing Assessment
- **Are different intent classes landing on the right pages?** [Yes / No — detail]
- **Should new landing pages be created?** [If so, for which intent classes]
- **Cross-reference with intent map:** [link to workspace/ads/intent-map.md findings]
## Dependencies
- [e.g., "Fix tracking (2026-03-15-acme-tracking-fix.md) before assessing conversion rate improvement"]
## Confidence
[High / Medium / Low] — [reasoning]
## Review
- [ ] Evidence checked
- [ ] Collateral risk checked
- [ ] Dependencies checked
- **Decision:** approve | defer | reject
- **Decision reason:** ____
- **Reviewed by:** ____
- **Reviewed on:** ____
- **Applied on:** ____
- **Notes:** ____workspace/ads/findings.md — landing page diagnosis and classificationworkspace/ads/learnings.md — what we learned about this account's conversion path© TheMattBerman, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/google-ads-landing-review of TheMattBerman/google-ads-copilot.
Open the folder on GitHubat commit 2c253ee
Google Ads Landing Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Google Ads Landing Review this skillTheMattBerman/google-ads-copilot | 238 | — | ~4.1k | Automated safety check: Pass | MIT | |
| Google Ads Landing Page Auditnowork-studio/notfair-plugin | 3.9k | — | ~306 | Automated safety check: Pass | MIT | |
| Brand Kitcognyai/claude-code-marketing-skills | 104 | — | ~3.4k | Automated safety check: Notes | None | |
| Ad Extension Auditirinabuht12-oss/marketing-skills | 4.1k | — | ~708 | Automated safety check: Pass | None | |
| Quality Score Breakdownirinabuht12-oss/marketing-skills | 4.1k | — | ~688 | Automated safety check: Pass | None | |
| 03 Performance Eval Globalminhnv0807/ai-business-skills | 609 | — | ~3.5k | Automated safety check: Pass | MIT |
nowork-studio/notfair-plugin
Scores Google Ads landing pages on five weighted dimensions and diagnoses why high-CTR ad groups convert poorly, with concrete fixes for each page.
cognyai/claude-code-marketing-skills
Build a portable brand-kit.json for the user's product — colors, typography, voice — that other skills (video, ad creative, landing page) can consume.
irinabuht12-oss/marketing-skills
Reviews all your Google Ads extensions — sitelinks, callouts, structured snippets, call extensions, image extensions, price extensions — across every campaign.
irinabuht12-oss/marketing-skills
Breaks down Quality Score components for your Google Ads keywords — expected CTR, ad relevance, and landing page experience — and tells you exactly which component is dragging each keyword down…
minhnv0807/ai-business-skills
A skill your agent uses when marketing numbers look bad and the user needs to know WHY — layered root-cause diagnosis across tracking, delivery, creative, landing page, offer, and audience quality…
apify/awesome-skills
Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X…
TheMattBerman/google-ads-copilot
Google Ads operator system for search-term analysis, intent mapping, wasted spend control, account structure decisions, tracking diagnostics, RSA generation, budget review, account planning, and…
TheMattBerman/google-ads-copilot
Execute approved draft actions in Google Ads accounts. An agent skill from TheMattBerman/google-ads-copilot.
TheMattBerman/google-ads-copilot
Full Google Ads review that synthesizes tracking, search terms, intent mapping, negatives, structure, RSAs, budget decisions, and PMax context into a single operator read.
TheMattBerman/google-ads-copilot
Review Google Ads budget allocation and scaling decisions based on signal quality, intent clarity, tracking confidence, and structural health.
TheMattBerman/google-ads-copilot
Connected-mode onboarding, health check, and customer selection for Google Ads Copilot.
TheMattBerman/google-ads-copilot
Daily operator review for Google Ads. An agent skill from TheMattBerman/google-ads-copilot.
Works with
Categories
Diagnose landing page → conversion path problems for Google Ads traffic. Google Ads Landing Review is an agent skill from TheMattBerman/google-ads-copilot. Diagnose landing page → conversion path problems for Google Ads traffic.
Google Ads Landing Review fits situations like: tasks that involve Paid advertising; tasks that involve Landing pages.
Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a claude-code`. Or copy the skill folder (skills/google-ads-landing-review in TheMattBerman/google-ads-copilot) into .claude/skills/google-ads-landing-review in your project. Claude Code loads it when a task matches its description.
Run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a codex`. Or copy the skill folder (skills/google-ads-landing-review in TheMattBerman/google-ads-copilot) into .agents/skills/google-ads-landing-review in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add TheMattBerman/google-ads-copilot --skill google-ads-landing-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-ads-landing-review, .gemini/skills/google-ads-landing-review, .github/skills/google-ads-landing-review and .opencode/skills/google-ads-landing-review in your project.
SKILL.md names no scripts, command-line tools or credentials: Google Ads Landing Review is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Google Ads Landing Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Google Ads Landing Review: Google Ads Landing Page Audit (nowork-studio/notfair-plugin, 3.9k stars), Brand Kit (cognyai/claude-code-marketing-skills, 104 stars), Ad Extension Audit (irinabuht12-oss/marketing-skills, 4.1k stars) and Quality Score Breakdown (irinabuht12-oss/marketing-skills, 4.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
TheMattBerman (a GitHub user) maintains it in TheMattBerman/google-ads-copilot, which has 238 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on June 10, 2026.
Source: TheMattBerman/google-ads-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.