Expert guidance for GA4 privacy and compliance including GDPR, CCPA, Consent Mode v2, data deletion, and privacy settings. Use when implementing Consent Mode, ensuring GDPR compliance, handling data deletion requests, configuring consent banners, or implementing privacy-first tracking. Covers consent parameters (ad_user_data, ad_personalization), data retention, IP anonymization, and compliance workflows.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
GA4 provides privacy-focused features for GDPR, CCPA, and global privacy regulations including Consent Mode, data controls, and compliance workflows.
Invoke this skill when:
What is Consent Mode: Google's API for communicating user consent status to GA4, Google Ads, and other Google tags.
Consent Parameters (v2):
ad_storage
analytics_storage
ad_user_data (NEW in v2)
ad_personalization (NEW in v2)
Additional Parameters:
personalization_storage
functionality_storage
security_storage
Basic Implementation (gtag.js):
Step 1: Set Default Consent State (BEFORE gtag.js)
<script>
// Set default consent to denied
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('consent', 'default', {
'ad_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied',
'analytics_storage': 'denied'
});
// Configure GA4
gtag('config', 'G-XXXXXXXXXX');
</script>
<!-- Load gtag.js -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-XXXXXXXXXX"></script>
Step 2: Update Consent After User Choice
// When user accepts all cookies
gtag('consent', 'update', {
'ad_storage': 'granted',
'ad_user_data': 'granted',
'ad_personalization': 'granted',
'analytics_storage': 'granted'
});
// When user accepts only analytics
gtag('consent', 'update', {
'ad_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied',
'analytics_storage': 'granted'
});
// When user denies all
gtag('consent', 'update', {
'ad_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied',
'analytics_storage': 'denied'
});
GTM Implementation:
Method 1: Using Consent Mode Template
Method 2: Manual GTM Setup
Create Consent Initialization Tag:
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('consent', 'default', {
'ad_storage': 'denied',
'analytics_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied'
});
</script>
Create Consent Update Tag (on user acceptance):
gtag('consent', 'update', ...)consent_granted)EU-Specific Consent:
gtag('consent', 'default', {
'ad_storage': 'denied',
'analytics_storage': 'denied'
}, {
'region': ['AT', 'BE', 'BG', 'HR', 'CY', 'CZ', 'DK', 'EE', 'FI', 'FR', 'DE', 'GR', 'HU', 'IE', 'IT', 'LV', 'LT', 'LU', 'MT', 'NL', 'PL', 'PT', 'RO', 'SK', 'SI', 'ES', 'SE', 'GB']
});
gtag('consent', 'default', {
'ad_storage': 'granted',
'analytics_storage': 'granted'
}, {
'region': ['US-CA'] // California - CCPA
});
When analytics_storage = "denied":
When analytics_storage = "granted":
Conversion Modeling: When consent denied, GA4 uses:
Path: Admin → Data Settings → Data Retention
Options:
Applies To:
Reset on New Activity:
GDPR Compliance:
User Right to Deletion (GDPR Article 17):
Deleting User Data:
Processing:
Best Practice:
GA4 Default Behavior:
Unlike Universal Analytics:
anonymize_ip parameter neededWhat It Enables:
Privacy Implications:
Enabling: Admin → Data Settings → Data Collection → Google Signals
Recommendation:
What Are Thresholds: GA4 applies thresholds to reports when:
When Applied:
Managing Thresholds:
Popular CMPs:
GTM CMP Templates: Most CMPs provide GTM templates:
Example: Cookiebot Integration
Requirements:
Implementation:
// Detect GPC signal
if (navigator.globalPrivacyControl) {
gtag('consent', 'update', {
'ad_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied',
'analytics_storage': 'granted' // Analytics OK, ads denied
});
}
GTM Variable for GPC:
navigator.globalPrivacyControlVerification Steps:
DebugView Test:
analytics_storage = deniedanalytics_storage = grantedCheck Event Parameters:
gcs parameter (Google Consent State)Cookie Inspection:
_ga cookie_ga cookie setGTM Preview:
Chrome DevTools:
// Check current consent state
dataLayer.filter(item => item[0] === 'consent')
Measurement Protocol with Consent:
{
"client_id": "client_123",
"consent": {
"ad_storage": "denied",
"analytics_storage": "granted",
"ad_user_data": "denied",
"ad_personalization": "denied"
},
"events": [...]
}
Best Practice:
Consent Parameters (v2):
ad_storage: Advertising cookiesanalytics_storage: Analytics cookiesad_user_data: User data sharing (NEW)ad_personalization: Personalized ads (NEW)Set Default (Before Consent):
gtag('consent', 'default', {
'ad_storage': 'denied',
'analytics_storage': 'denied',
'ad_user_data': 'denied',
'ad_personalization': 'denied'
});
Update After User Accepts:
gtag('consent', 'update', {
'ad_storage': 'granted',
'analytics_storage': 'granted',
'ad_user_data': 'granted',
'ad_personalization': 'granted'
});
Data Deletion: Admin → Data Deletion Requests → Create
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Testing patterns for PHPUnit and Playwright E2E tests. Use when writing tests, debugging test failures, setting up test coverage, or implementing test patterns for ActivityPub features.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
日本語の概要は準備中です。原文の説明を表示しています。
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
日本語の概要は準備中です。原文の説明を表示しています。
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
日本語の概要は準備中です。原文の説明を表示しています。
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
日本語の概要は準備中です。原文の説明を表示しています。