Comprehensive Google Analytics 4 guide covering property setup, events, custom events, recommended events, custom dimensions, user tracking, audiences, reporting, BigQuery integration, gtag.js implementation, GTM integration, Measurement Protocol, DebugView, privacy compliance, and data management. Use when working with GA4 implementation, tracking, analysis, or any GA4-related tasks.
Payment card security, SOC2 compliance, and financial services regulatory requirements
Multi-layer validation and quality gates for CFN Loop workflows. Use when implementing gate checks, consensus validation, or enforcing clean agent exit patterns.
Build public-facing web forms for data collection without Desk access. Use when creating customer submission forms, feedback forms, or self-service portals with Frappe Web Forms.
Production-grade architectural patterns for building enterprise Frappe apps like CRM, Helpdesk, and HRMS. Use when designing complex multi-entity systems with workflows, SLAs, and integrations.
Process daily notes, clean interviews, extract tasks, and update the Daily Dashboard.
커밋 메시지 생성. "커밋 메시지 작성해줘", "commit message 생성", "커밋 메시지 만들어줘" 등의 요청에 트리거.
Use when implementing in-app purchases, StoreKit 2, subscriptions, or transaction handling - testing-first workflow with .storekit configuration, StoreManager architecture, transaction verification, subscription management, and restore purchases for consumables, non-consumables, and auto-renewable subscriptions
Provides comprehensive daily hypertension management by coordinating blood pressure tracking, medication adherence, DASH diet scoring, exercise monitoring, and trend analysis. Use when a hypertension patient wants daily BP management, weekly health reports, or medication reviews.
Tracks menstrual cycles, predicts ovulation and next period, logs symptoms and flow, and provides PMS management suggestions. Use when the user logs period data, asks about cycle predictions, or wants menstrual health insights.
Tracks hormone lab results over time, analyzes trends for thyroid, sex hormones, cortisol, and metabolic markers, and provides lifestyle optimization suggestions. Use when the user logs hormone test results, asks about hormonal health, or wants to understand hormone trends.
Centralized health memory hub — manages daily logs and per-item longitudinal tracking files under memory/health/. WHEN TO USE: After any health skill records data, or when answering health questions that need historical context.
Analyzes Google Fit exported data including steps, heart rate, sleep, and activity metrics. Generates health digests and trend reports from Google Fit JSON/CSV exports. Use when the user provides Google Fit data or asks about their Google Fit health metrics.
Analyzes nutrition data, identifies dietary patterns, evaluates nutritional status, and provides personalized nutrition recommendations. Supports correlation analysis with exercise, sleep, and chronic disease data. Use when the user wants to review nutrient intake trends, assess RDA achievement, or get dietary improvement advice.
Evaluates dietary nutrition gaps and supplement safety by coordinating nutrition analysis, food alternatives, supplement interaction checks, adverse event screening, and effect tracking. Use when the user wants to optimize their supplement stack or check supplement safety.
Analyzes health goal data, identifies goal patterns, evaluates goal progress, and provides personalized goal management recommendations. Supports SMART goal validation, habit tracking, motivation assessment, achievement systems, obstacle identification, and correlation analysis with nutrition, exercise, and sleep data. Use when the user wants to review goal progress, validate a new goal, or get habit-building advice.
Analyzes occupational health data, identifies work-related health risks, assesses occupational health status, and provides personalized workplace wellness recommendations. Supports correlation analysis with sleep, exercise, and mental health data. Use when the user wants to evaluate workplace ergonomics or track occupational health issues.
Analyzes fitness data, identifies exercise patterns, evaluates workout progress, and provides personalized training recommendations. Supports correlation analysis with chronic disease data such as blood pressure and blood glucose. Use when the user wants to review their exercise trends, track running progress, or understand how workouts affect other health metrics.
Tracks daily water intake, calculates personalized hydration targets based on body weight, activity level, and weather conditions, and provides reminders. Use when the user logs water intake, asks about hydration needs, or wants to analyze drinking patterns.
Analyzes sexual health data including IIEF-5 scoring, STD screening management, contraception effectiveness, activity statistics, and cross-module correlation with medications, chronic conditions, mental health, nutrition, and exercise. Use when the user tracks sexual health metrics or needs reproductive health assessment.
System information toolkit for gathering CPU, memory, disk, and process information. Use when diagnosing system performance, checking resource usage, monitoring processes, or troubleshooting system issues.
Generates prioritized, personalized sleep improvement recommendations based on sleep metrics, caffeine data, screen time, and exercise timing. Use after sleep-analyzer identifies issues or when the user asks how to improve sleep.
