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Found 437 Skills
Use when designing animations for banking apps, payment systems, investment platforms, or financial dashboards
Implement AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
When the user wants to optimize their subscription business end-to-end — from trial start through renewal, cancellation, and win-back. Use when the user mentions "subscription lifecycle", "trial conversion", "churn", "cancellation", "win-back", "lapsed subscribers", "dunning", "billing retry", "grace period", "renewal rate", "subscriber LTV", or "resubscribe". For paywall design and pricing strategy, see monetization-strategy. For subscription analytics dashboards, see app-analytics.
Crée des interfaces frontend distinctives, de qualité production, avec un haut niveau de design. À utiliser quand l'utilisateur demande de construire des composants web, pages, artefacts, posters ou applications (exemples : sites web, landing pages, dashboards, composants React, mises en page HTML/CSS, ou pour styliser/embellir toute interface web). Génère du code créatif et soigné qui évite l'esthétique générique de l'IA.
Build UIs using IBM's Carbon Design System. Use when the user requests Carbon-styled interfaces, IBM-style dashboards, enterprise UIs following Carbon conventions, or explicitly mentions Carbon, IBM design, or @carbon/react. Covers component usage, design tokens (color, typography, spacing, motion), theming (White, Gray 10, Gray 90, Gray 100), grid layout, and accessibility. Supports both artifact/HTML output (CDN-based) and full React project output (@carbon/react). Triggers include "Carbon", "IBM design system", "enterprise dashboard", "@carbon/react", "carbon components", or requests for IBM-style professional interfaces.
Generates ZK Framework ZUL pages (.zul) through a structured 4-step workflow: requirements clarification, ZUL generation, validation, and controller generation. Supports both MVC (Composer-based) and MVVM (ViewModel-based) patterns, ZK 9/10, and visual analysis for screenshot-to-ZUL conversion. Use when the user asks to create a ZUL page, build ZK UI components (forms, grids, dashboards, borderlayouts), or convert an image/mockup to ZUL code.
Generate clear, accurate performance reports for investment portfolios with benchmarks, attribution, and risk dashboards. Use when the user asks about portfolio performance reports, return summaries, benchmark comparison, risk dashboards, goal progress tracking, or GIPS-compliant reporting. Also trigger when users mention 'quarterly report', 'how did my portfolio do', 'time-weighted vs money-weighted return', 'annualized returns', 'net-of-fee performance', 'rolling Sharpe', or ask how to present investment results to clients.
Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.
Build modern data apps, dashboards, and interactive reports using either React + Vite or Streamlit. Includes optional Gemini Data Analytics chat integration for an AI powered "chat with your data" experience. Relevant when any of the following conditions are true: 1. User explicitly requests to build a data dashboard, data application, or visualization UI, and the UI pulls data from a GCP database (defaulting to BigQuery unless otherwise specified). 2. You need to generate a frontend web application to interact with, query, and visualize data from GCP data sources. 3. User wants to build a "chat with your data" experience or integrate the Gemini Data Analytics chat API into a web interface. Do NOT use when any of the following conditions are true: 1. The request is for building backend-only services. 2. The request is for simple CLI scripts or command-line applications. 3. The web application is not data-centric or does not involve visualizing/querying data from GCP sources.
Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decision support through data visualization and reporting.
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis.