Global SEO Growth
minhnv0807/ai-business-skills
Covers six SEO layers for a website: crawl and index audit, local SEO, search-intent content, AI search visibility, schema markup and backlink or directory distribution.
When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns.
Install Google Analytics Tool
$ npx skills add garrettjsmith/localseoskills --skill google-analytics-tool -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install garrettjsmith/localseoskills google-analytics-tool --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/garrettjsmith/localseoskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/google-analytics-tool .claude/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .claude/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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/garrettjsmith/localseoskills/tree/main/skills/google-analytics-toolType 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 garrettjsmith/localseoskills --skill google-analytics-tool -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install garrettjsmith/localseoskills google-analytics-tool --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/google-analytics-tool .agents/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .agents/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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 garrettjsmith/localseoskills --skill google-analytics-tool -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install garrettjsmith/localseoskills google-analytics-tool --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/google-analytics-tool .cursor/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .cursor/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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/garrettjsmith/localseoskills.git --path skills/google-analytics-tool--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 garrettjsmith/localseoskills --skill google-analytics-tool -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install garrettjsmith/localseoskills google-analytics-tool --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/google-analytics-tool .gemini/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .gemini/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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 garrettjsmith/localseoskills google-analytics-toolInstalls 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 garrettjsmith/localseoskills --skill google-analytics-tool -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/google-analytics-tool .github/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .github/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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 garrettjsmith/localseoskills --skill google-analytics-tool -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install garrettjsmith/localseoskills google-analytics-tool --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/google-analytics-tool .opencode/skills/google-analytics-tool && 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-analytics-tool" agent skill from https://github.com/garrettjsmith/localseoskills/tree/main/skills/google-analytics-tool into .opencode/skills/google-analytics-tool/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "google-analytics-tool", 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.
Facts
- Skill name
google-analytics-tool- GitHub stars
- 114
- Token cost
- ~1.8k tokens
- SKILL.md length
- 903 words
- Files
- 1
- Skills in repo
- 38
- Repo updated
- First seen
- Licence
- MIT
At a glance
When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns.
- Works in 3 steps: Landing page report filtered to location… → Metrics: Sessions, users, engaged… → Compare across location pages
- Wants traffic data
- SKILL.md covers When to Use GA4 vs Other Tools, Critical Distinction, Core Workflows and Key Metrics and What They Mean, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Google Analytics Tool is an agent skill from garrettjsmith/localseoskills. When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns. Trigger on "Google Analytics," "GA4," "traffic," "conversions," "how many leads," "phone calls," "form submissions," "where is my traffic coming from," or "is my website converting."
Its SKILL.md is about 1.8k 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 Marketing analytics, Programmatic SEO and Local SEO. It works with Google Analytics. The repository describes itself as: Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert. The licence is MIT.
When your agent uses it
- Wants traffic data
- Conversion tracking
- User behavior on location pages
- GBP traffic attribution
Example prompts
- “Google Analytics,”
- “traffic,”
- “conversions,”
- “/google-analytics-tool”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Landing page report filtered to location page URLs
- Metrics: Sessions, users, engaged sessions, engagement rate, conversions
- Compare across location pages
What it can do on your machine
Read from SKILL.md and the folder at commit 405ce20. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Google Analytics Tool loads about 1.8k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 903 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from garrettjsmith/localseoskills at commit 405ce20, republished under its MIT licence (© garrettjsmith). 903 words, ~1,811 tokens.
Download SKILL.mdSave it as
.claude/skills/google-analytics-tool/SKILL.md (or your agent's skills folder).- name
- google-analytics-tool
- description
- When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns. Trigger on "Google Analytics," "GA4," "traffic," "conversions," "how many leads," "phone calls," "form submissions," "where is my traffic coming from," or "is my website converting."
- metadata.version
- 1.0.0
- metadata.author
- Garrett Smith
Google Analytics (GA4) Tool
GA4 has an official MCP server from Google. When connected, use it for website traffic analysis, conversion attribution, and user behavior data. GA4 answers "what happens AFTER someone finds you."
When to Use GA4 vs Other Tools
| You Need | Use GA4 | Use Instead |
|---|---|---|
| Traffic to location pages | ✅ | — |
| Conversion tracking (calls, forms, bookings) | ✅ | — |
| Traffic source attribution (organic vs paid vs GBP) | ✅ | — |
| Geographic traffic patterns | ✅ | — |
| User behavior (bounce rate, engagement, time on page) | ✅ | — |
| GBP-specific traffic (via UTM) | ✅ | — |
| What keywords people searched to find you | ❌ Very limited | GSC (query data) |
| Search rankings | ❌ | Local Falcon, Semrush |
| Backlinks | ❌ | Ahrefs |
| SERP features | ❌ | SerpAPI |
Critical Distinction
GA4 shows what happens ON YOUR WEBSITE. It does NOT show:
- GBP interactions that don't reach your website (calls from GBP, directions from GBP, map views)
- Map pack clicks that go to the GBP profile, not the website
- Local Falcon/ranking data
For complete local performance: GA4 (website) + GSC (organic queries) + GBP Insights (profile interactions) + Local Falcon (map rankings).
Core Workflows
Location Page Traffic Analysis
When: User asks "how are my location pages performing?" or "which locations get the most traffic?"
What to pull:
- Landing page report filtered to location page URLs
- Metrics: Sessions, users, engaged sessions, engagement rate, conversions
- Compare across location pages
How to interpret:
- Location page with high traffic but low engagement: Content doesn't match what visitors expect — check title alignment
- Location page with high engagement but low conversions: Missing or weak CTA (call button, form, booking link)
- Location page with no traffic: Not indexed (check GSC) or no keyword targeting (check
local-keyword-research) - Big traffic differences between location pages: Might reflect market size, or some pages are better optimized
Conversion Tracking
When: User asks "how many leads am I getting?" or wants to measure ROI.
Key local conversions to track:
| Conversion Event | How to Track | Setup Required |
|---|---|---|
| Phone calls (click-to-call) | Event on tel: link clicks | Yes — event must be configured |
| Form submissions | Event on form submit/thank-you page | Yes — event or thank-you page trigger |
| Direction requests | Event on directions link clicks | Yes — event on link |
| Booking/scheduling | Event on booking completion | Yes — depends on booking system |
| Chat initiated | Event on chat widget open | Yes — event on widget |
If conversions aren't set up: Tell the user. GA4 doesn't track conversions automatically. Without configured events, you can only report traffic, not leads.
What to look for:
- Conversion rate per traffic source (organic vs paid vs direct vs referral)
- Conversion rate per location page
- Which pages generate the most conversions (not just traffic)
- Conversion trends over time (improving or declining?)
GBP Traffic Attribution
When: User wants to know how much traffic comes specifically from their Google Business Profile.
How it works: GBP website links should include UTM parameters. Common patterns:
utm_source=google&utm_medium=organic&utm_campaign=gbputm_source=gmb(older convention)
What to pull:
- Filter by source/medium matching GBP UTM parameters
- Sessions, users, conversions from GBP specifically
- Compare GBP traffic to overall organic traffic
If no UTM tracking: Most businesses don't set this up. Recommend adding UTM parameters to the GBP website URL so future data can be attributed.
Show full SKILL.md (395 more words)Show less
Geographic Traffic Analysis
When: User wants to know where their website visitors are located.
What to pull:
- Geographic report by city/region
- Filter to organic traffic only
- Compare against service area
How to interpret for local:
- Traffic concentrated in one city but business serves a wider area: Need service area pages for other cities
- Traffic from cities outside service area: Content attracting non-local visitors (may or may not be useful)
- No traffic from a city in the service area: No content targeting that area, or not ranking there
Traffic Source Comparison
When: User wants to understand their traffic mix.
Pull traffic by source/medium:
- Organic search (Google/Bing) → SEO working
- Direct → Brand awareness / repeat visitors
- Referral → Links from other sites sending traffic
- Paid search → Google Ads / PPC
- Social → Social media channels
Healthy local business traffic mix:
- Organic: 40-60% (should be the largest source)
- Direct: 20-30% (brand recognition)
- Referral: 5-15% (healthy backlink profile)
- Paid: varies by budget
- If organic is under 30%, SEO needs work
Key Metrics and What They Mean
| Metric | What It Is | Local SEO Context |
|---|---|---|
| Sessions | Website visits | Total demand reaching your site |
| Engaged Sessions | Sessions with meaningful interaction | More important than raw sessions |
| Engagement Rate | Engaged sessions ÷ Total sessions | Below 50% on location pages = content problem |
| Conversions | Completed goal actions | THE metric — everything else is a means to this |
| Conversion Rate | Conversions ÷ Sessions | Benchmark: 3-5% for local service businesses |
| Bounce Rate | Sessions with no interaction | GA4 bounce = not engaged. High bounce on location pages = bad signal |
| Average Engagement Time | Time actively on page | Under 30 seconds = content isn't connecting |
What to Do Next
| What You Found | Next Action | Skill |
|---|---|---|
| Location pages with low traffic | Check GSC for indexing, then check keyword targeting | google-search-console-tool, local-keyword-research |
| Traffic but no conversions | Add/fix CTAs, forms, click-to-call | local-landing-pages |
| No conversion tracking set up | Configure GA4 events before anything else | Technical setup needed |
| GBP traffic not being tracked | Add UTM parameters to GBP website URL | gbp-optimization |
| Good traffic from organic but bad conversion rate | Landing page content/design issue | local-landing-pages |
| Geographic gaps in traffic | Build location pages for underserved cities | local-landing-pages, service-area-seo |
| Need this in a client report | Include traffic and conversion data in reports | local-reporting |
Default next step: Traffic without conversion tracking is vanity metrics. If GA4 events aren't configured, that's the first thing to fix — before any SEO work, you need to be able to measure results.
© garrettjsmith, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/google-analytics-tool of garrettjsmith/localseoskills.
Open the folder on GitHubat commit 405ce20
Compare with similar skills
Google Analytics Tool 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 Analytics Tool this skillgarrettjsmith/localseoskills | 114 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Global SEO Growthminhnv0807/ai-business-skills | 608 | — | ~5k | Automated safety check: Pass | MIT | |
| SEONexus-JPF/note-companion | 870 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Google SEO APIsAgriciDaniel/claude-seo | 18k | 1 repos | ~4.2k | Automated safety check: Pass | MIT | |
| AnalyticsNexus-JPF/note-companion | 870 | 7 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Google Analytics 4 AnalysisLichAmnesia/lich-skills | 234 | — | ~2k | Automated safety check: Notes | MIT |
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Related
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Questions about Google Analytics Tool
What does Google Analytics Tool do?
When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns. Google Analytics Tool is an agent skill from garrettjsmith/localseoskills. When the user wants traffic data, conversion tracking, user behavior on location pages, GBP traffic attribution, or geographic traffic patterns.
When should I use Google Analytics Tool?
Google Analytics Tool fits situations like: wants traffic data; conversion tracking; user behavior on location pages; GBP traffic attribution.
How do I install Google Analytics Tool in Claude Code?
Run `npx skills add garrettjsmith/localseoskills --skill google-analytics-tool -a claude-code`. Or copy the skill folder (skills/google-analytics-tool in garrettjsmith/localseoskills) into .claude/skills/google-analytics-tool in your project. Claude Code loads it when a task matches its description.
How do I install Google Analytics Tool in Codex?
Run `npx skills add garrettjsmith/localseoskills --skill google-analytics-tool -a codex`. Or copy the skill folder (skills/google-analytics-tool in garrettjsmith/localseoskills) into .agents/skills/google-analytics-tool in your project. Codex loads it when a task matches its description.
Can I use Google Analytics Tool in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add garrettjsmith/localseoskills --skill google-analytics-tool -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-analytics-tool, .gemini/skills/google-analytics-tool, .github/skills/google-analytics-tool and .opencode/skills/google-analytics-tool in your project.
What does Google Analytics Tool need to run?
SKILL.md names no scripts, command-line tools or credentials: Google Analytics Tool is instructions for the agent only.
Does Google Analytics Tool access the network?
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.
Is Google Analytics Tool safe to install?
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.
What licence does Google Analytics Tool use?
Google Analytics Tool is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Google Analytics Tool use?
About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Google Analytics Tool?
Skills that share tags, products or a category with Google Analytics Tool: Global SEO Growth (minhnv0807/ai-business-skills, 608 stars), SEO (Nexus-JPF/note-companion, 870 stars), Google SEO APIs (AgriciDaniel/claude-seo, 18k stars) and Analytics (Nexus-JPF/note-companion, 870 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Google Analytics Tool?
garrettjsmith (a GitHub user) maintains it in garrettjsmith/localseoskills, which has 114 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 15, 2026.
Source: garrettjsmith/localseoskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.