Seo Google logo

Seo Google

OrganizationPopular
hashgraph-online
seo-google

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", "google api setup", "real CWV data", "impressions", "clicks", "CTR", "position data", "LCP", "INP", "CLS", "FCP", "TTFB", or "Lighthouse scores".

Overview

Publisherhashgraph-online
Repositoryawesome-codex-plugins
Skill nameseo-google
Stars
1.3K
Forks
360
Bundled files
13
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 13 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Seo Google AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BestLemoon/codex-seo/skills/seo-google
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/BestLemoon/codex-seo/skills/seo-google .claude/skills/seo-google
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Seo Google in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Seo Google on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Seo Google is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Google SEO APIs

Direct access to Google's own SEO data. Bridges the gap between crawl-based analysis (existing codex-seo skills) and Google's real-time field data: actual Chrome user metrics, real indexation status, search performance, and organic traffic.

All APIs are free. Setup requires a Google Cloud project with API key and/or service account -- run /seo google setup for step-by-step instructions.

Prerequisites

Before executing any command, check credentials:

bash
python scripts/google_auth.py --check --json

Config file: ~/.config/codex-seo/google-api.json

json
{
  "service_account_path": "/path/to/service_account.json",
  "api_key": "AIzaSy...",
  "default_property": "sc-domain:example.com",
  "ga4_property_id": "properties/123456789"
}

If missing, read references/auth-setup.md and walk the user through setup.

Credential Tiers

TierDetectionAvailable Commands
0 (API Key)api_key presentpagespeed, crux, crux-history, youtube, nlp
1 (OAuth/SA)+ OAuth token or service accountTier 0 + gsc, inspect, sitemaps, index
2 (Full)+ ga4_property_id configuredTier 1 + ga4, ga4-pages
3 (Ads)+ ads_developer_token + ads_customer_idTier 2 + keywords, volume

Always communicate the detected tier before running commands.

Quick Reference

CommandWhat it doesTier
/seo google setupCheck/configure API credentials--
/seo google pagespeed <url>PSI Lighthouse + CrUX field data0
/seo google crux <url>CrUX field data only (p75 metrics)0
/seo google crux-history <url>25-week CWV trend analysis0
/seo google gsc <property>Search Console: clicks, impressions, CTR, position1
/seo google inspect <url>URL Inspection: index status, canonical, crawl info1
/seo google inspect-batch <file>Batch URL Inspection from file1
/seo google sitemaps <property>GSC sitemap status1
/seo google index <url>Submit URL to Indexing API1
/seo google index-batch <file>Batch submit up to 200 URLs1
/seo google ga4 [property-id]GA4 organic traffic report2
/seo google ga4-pages [property-id]Top organic landing pages2
/seo google youtube <query>YouTube video search (views, likes, duration)0
/seo google youtube-video <id>YouTube video details + top comments0
/seo google nlp <url-or-text>NLP entity extraction + sentiment + classification0
/seo google entities <url-or-text>Entity analysis only (for E-E-A-T)0
/seo google keywords <seed>Keyword ideas from Google Ads Keyword Planner3
/seo google volume <keywords>Search volume lookup from Keyword Planner3
/seo google entity <query>Knowledge Graph entity check0
/seo google safety <url>Web Risk URL safety check0
/seo google quotasShow rate limits for all APIs--

PageSpeed + CrUX

/seo google pagespeed <url>

Combined Lighthouse lab data + CrUX field data.

Script: python scripts/pagespeed_check.py <url> --json Reference: references/pagespeed-crux-api.md Default: Both mobile + desktop strategies, all Lighthouse categories.

Output merges lab scores (point-in-time Lighthouse) with field data (28-day Chrome user metrics). CrUX tries URL-level first, falls back to origin-level.

/seo google crux <url>

CrUX field data only (no Lighthouse run). Faster.

Script: python scripts/pagespeed_check.py <url> --crux-only --json

/seo google crux-history <url>

25-week CrUX History trends. Shows whether CWV metrics are improving, stable, or degrading.

Script: python scripts/crux_history.py <url> --json Reference: references/pagespeed-crux-api.md

Output includes per-metric trend direction, percentage change, and weekly p75 values.


Search Console

/seo google gsc <property>

Search Analytics: clicks, impressions, CTR, position for last 28 days.

Script: python scripts/gsc_query.py --property <property> --json Reference: references/search-console-api.md Default: 28 days, dimensions=query,page, type=web, limit=1000.

Includes quick-win detection: queries at position 4-10 with high impressions.

/seo google inspect <url>

URL Inspection: real indexation status from Google.

Script: python scripts/gsc_inspect.py <url> --json

Returns: verdict (PASS/FAIL), coverage state, robots.txt status, indexing state, page fetch state, canonical selection, mobile usability, rich results.

/seo google inspect-batch <file>

Batch inspection from a file (one URL per line). Rate limited to 2,000/day per site.

Script: python scripts/gsc_inspect.py --batch <file> --json

/seo google sitemaps <property>

List submitted sitemaps with status, errors, warnings.

Script: python scripts/gsc_query.py sitemaps --property <property> --json


Indexing API

/seo google index <url>

Notify Google of a URL update.

Script: python scripts/indexing_notify.py <url> --json Reference: references/indexing-api.md

The Indexing API is officially for JobPosting and BroadcastEvent/VideoObject pages. Always inform the user of this restriction. Daily quota: 200 publish requests.

/seo google index-batch <file>

Batch submit URLs from a file. Tracks quota usage.

Script: python scripts/indexing_notify.py --batch <file> --json


GA4 Traffic

/seo google ga4 [property-id]

Organic traffic report: daily sessions, users, pageviews, bounce rate, engagement.

Script: python scripts/ga4_report.py --property <id> --json Reference: references/ga4-data-api.md Default: 28 days, filtered to Organic Search channel group.

/seo google ga4-pages [property-id]

Top organic landing pages ranked by sessions.

Script: python scripts/ga4_report.py --property <id> --report top-pages --json


YouTube (Video SEO)

YouTube mentions have the strongest AI visibility correlation (0.737). Free, API key only.

/seo google youtube <query>

Search YouTube for videos. Returns title, channel, views, likes, duration.

Script: python scripts/youtube_search.py search "<query>" --json Reference: references/youtube-api.md Quota: 100 units per search (10,000 units/day free).

/seo google youtube-video <video_id>

Detailed video info + tags + top 10 comments.

Script: python scripts/youtube_search.py video <video_id> --json Quota: 2 units (video details + comments).


NLP Content Analysis

Google's own entity/sentiment analysis. Enhances E-E-A-T scoring.

/seo google nlp <url-or-text>

Full NLP analysis: entities, sentiment, content classification.

Script: python scripts/nlp_analyze.py --url <url> --json or --text "..." Reference: references/nlp-api.md Free tier: 5,000 units/month. Requires billing enabled on GCP project.

/seo google entities <url-or-text>

Entity extraction only (faster, less quota).

Script: python scripts/nlp_analyze.py --url <url> --features entities --json


Keyword Research (Google Ads)

Gold-standard keyword volume data. Requires Google Ads account.

/seo google keywords <seed>

Generate keyword ideas from seed terms.

Script: python scripts/keyword_planner.py ideas "<seed>" --json Reference: references/keyword-planner-api.md Requires: Ads developer token + customer ID in config (Tier 3).

/seo google volume <keywords>

Search volume for specific keywords (comma-separated).

Script: python scripts/keyword_planner.py volume "<kw1>,<kw2>" --json


Supplementary

/seo google entity <query>

Knowledge Graph entity check. Verifies brand presence.

Reference: references/supplementary-apis.md Uses Knowledge Graph Search API with API key.

/seo google safety <url>

Web Risk API check for malware/social engineering flags.

Reference: references/supplementary-apis.md

/seo google quotas

Display rate limits table. Read references/rate-limits-quotas.md.


Reports

After any analysis command, offer to generate a PDF/HTML report.

/seo google report <type>

Generate a professional PDF report with charts and analytics.

Script: python scripts/google_report.py --type <type> --data <json> --domain <domain> --format pdf

TypeInputOutput
cwv-auditPSI + CrUX + CrUX History dataCore Web Vitals audit with gauges, timelines, distributions
gsc-performanceGSC query dataSearch Console report with query tables, quick wins
indexationBatch inspection dataIndexation status with coverage donut chart
fullAll data combinedComprehensive Google SEO report (all sections)

Workflow:

  1. Run data collection commands (pagespeed, gsc, inspect-batch, etc.)
  2. Save JSON output to file: python scripts/pagespeed_check.py <url> --json > data.json
  3. Generate report: python scripts/google_report.py --type cwv-audit --data data.json --domain <domain>

Convention: After completing analysis, suggest: "Generate a report? Use /seo google report <type>"


Rate Limits

APIPer-MinutePer-DayAuth
PSI v5240 QPM25,000 QPDAPI Key
CrUX + History150 QPM (shared)UnlimitedAPI Key
GSC Search Analytics1,200 QPM/site30M QPDService Account
GSC URL Inspection600 QPM2,000 QPD/siteService Account
Indexing API380 RPM200 publish/dayService Account
GA4 Data API10 concurrent~25K tokens/dayService Account

Cross-Skill Integration

  • seo-audit: Spawns seo-google agent for live CWV + indexation data (conditional)
  • seo-technical: Uses pagespeed_check.py for real CWV field data
  • seo-performance: CrUX field data supplements Lighthouse lab data
  • seo-sitemap: GSC sitemap status shows real crawl/index coverage
  • seo-content: GSC query data informs keyword targeting
  • seo-geo: GSC search appearance data includes AI Overview references

Output Format

  • CWV metrics: traffic-light rating (Good / Needs Improvement / Poor)
  • Performance reports: tables with sortable columns
  • Always include data freshness note
  • Save reports as GOOGLE-API-REPORT-{domain}.md
  • Use templates from assets/templates/ for structured output

Technical Notes

  • INP replaced FID on March 12, 2024. Never reference FID.
  • CLS values from CrUX are string-encoded (e.g., "0.05"). Scripts handle parsing.
  • CrUX 404 = insufficient traffic, not an auth error.
  • Search Analytics data has 2-3 day lag.
  • round_trip_time replaced effectiveConnectionType in CrUX (Feb 2025).
  • Custom Search JSON API is closed to new customers (2025).

Error Handling

ScenarioAction
No credentials configuredRun /seo google setup. List Tier 0 commands that work with just an API key.
Service account lacks GSC accessReport error. Instruct: add client_email to GSC > Settings > Users > Add.
CrUX data unavailable (404)Report insufficient Chrome traffic. Suggest PSI lab data as fallback.
GA4 property not foundReport error. Show how to find property ID in GA4 Admin > Property Details.
Indexing API quota exceededReport 200/day limit. Suggest prioritizing most important URLs.
Rate limit (429)Wait and retry with exponential backoff. Report which API hit the limit.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Seo Google AI skill do?

Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", "google api setup", "real CWV data", "impressions", "clicks", "CTR", "position data", "LCP", "INP", "CLS", "FCP", "TTFB", or "Lighthouse scores".

Why use Seo Google on TypingMind?

Because you install it once and use it with any model. Seo Google is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Seo Google in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/BestLemoon/codex-seo/skills/seo-google. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Seo Google?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Seo Google?

As many as you like. As long as a model supports skills, you can use Seo Google with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Seo Google AI skill free?

Yes. It is published on GitHub by hashgraph-online under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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