Analytics

Run and extend the end-to-end HTTP integration tests (SQLite in-memory) for mjr.wtf, covering auth, create/list/delete, redirects, and analytics. Use when changing handlers, middleware, or API contracts.

Research pipeline for topology-aware GNN representation learning on power grids using the PowerGraph benchmark. Use when (1) building physics-guided GNNs for power flow (PF), optimal power flow (OPF), or cascading failure prediction, (2) implementing self-supervised pretraining for power systems, (3) evaluating cascade explanation fidelity against ground-truth masks, or (4) conducting reproducible ML-for-power-systems research. Triggers include "PowerGraph", "power flow GNN", "OPF surrogate", "cascade prediction", "physics-guided GNN", "grid analytics ML", "power system representation learning".

データ分析とビジネスメトリクスの設計を支援します。KPI定義、データ収集戦略、ダッシュボード設計を提供します。分析基盤の設計、ビジネスメトリクスの測定体系構築が必要な場合に使用してください。

Validation for XIRR and fee calculations. Use when working on server/analytics/xirr.ts, server/analytics/fees.ts, or their truth cases.

Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.

Optimizing segmentation feature extraction, SOM clustering, and spatial analysis for multiplex immunofluorescence imaging with cell compartment and ECM features

Build new data ingestion providers following the FF Analytics registry pattern. This skill should be used when adding new data sources (APIs, files, databases) to the data pipeline. Guides through creating provider packages, registry mappings, loader functions, storage integration, primary key tests, and sampling tools following established patterns.

Build, test, or manage the Gradle multi-module monorepo. Use when building, testing, or debugging build issues across backend, frontend, or analytics.

Content quality standards and SEO optimization. TRIGGERS: 'SEO', 'qualidade de conteúdo', 'content quality', 'readability', 'legibilidade', 'editorial quality', 'validação de conteúdo'. Use when creating or reviewing articles, implementing SEO, ensuring professional quality, checking readability metrics.

Comprehensive Generalized Linear Model analytics for regression and classification

This skill should be used when the user wants to monitor a website for changes, availability, or specific conditions. Use this skill for tasks like tracking product stock, monitoring appointment slots, watching for event tickets, checking restaurant reservations, or any scenario requiring automated periodic web checks with pattern analytics. The skill creates a complete monitoring system with Playwright bot, cron scheduling, analytics dashboard, and smart notifications.

Comprehensive AI curriculum development with multi-level content generation, assessment creation, and NotebookLM optimization. Use when creating educational content across beginner through expert skill levels with pedagogical frameworks and learning analytics.

Add business metrics using AWS EMF (Embedded Metric Format) to API endpoints. Focus on domain-specific metrics only - AWS AppRunner provides default SLO/SLA metrics. Use when implementing new endpoints, adding command handlers, or instrumenting business events.

Dimensional modeling, normalization, and schema design for analytics.

Build and execute semantic queries with filters, time dimensions, aggregations, and ordering in drizzle-cube. Use when querying analytics data, filtering results, working with date ranges, aggregating measures, or building reports with drizzle-cube.

Production-ready React Native screen creator that implements screens following established project patterns, enforcing best practices (NO mock data, real Supabase queries, BaseScreen wrapper, safe navigation, analytics tracking). Use when user says "create screen", "implement screen", "build [ScreenName]", or after analyzing existing screen. ALWAYS reads PROJECT_MEMORY.md, applies ACCEPTANCE_CHECKLIST.md, and avoids known errors.

Create Architecture Decision Records (ADRs) documenting significant technical decisions for the FF Analytics platform. This skill should be used when making architectural choices, evaluating alternatives for data models or infrastructure, documenting trade-offs, or when the user asks "should we use X or Y approach?" Guides through the ADR creation workflow from context gathering to documentation.

BigQuery Object Tables를 활용한 비정형 데이터(오디오, 이미지 등) 분석 및 Audio Analytics Agent 구축 가이드. GCS 데이터 연동, 메타데이터 캐싱, AI 모델 통합, ADK 에이전트 구현 패턴을 다룹니다.

Calculate objective mastery rates, analyze performance distributions, identify achievement gaps, and generate learning analytics dashboards. Use when analyzing assessment data, measuring outcomes, or generating reports. Activates on "analyze results", "learning analytics", "performance data", or "outcome measurement".

Combines YouTube lecture transcripts with PDF slides to create an interactive HTML page. Matches each slide to corresponding transcript segments, organized by key concepts. Use when users want to create synchronized lecture notes from transcript text files and slide PDFs.