Design e Frontend

Design metric dashboards and KPI tracking plans for products and features. Defines what to measure, how to measure it, alert thresholds, and dashboard layout. Covers product, business, and technical metrics.

Background knowledge about how the Like activity works on the Fediverse and in ActivityPub, including the Like/Undo{Like} flow, the `likes` and `liked` collections, delivery model, the Dislike type (exists in ActivityStreams but is unused in ActivityPub), emoji reactions (EmojiReact / FEP-c0e0 vs the Misskey _misskey_reaction approach), stale like counts on remote posts, and implementation differe

Structured product strategy framework for AI product roles. Covers: market entry, competitive positioning, build-vs-buy, long-term vision.

Use when you need to discover hidden requirements, risks, or edge cases.

Creates, manages, and orchestrates AI agents using the AI Maestro CLI. Use when the user asks to "create agent", "list agents", "delete agent", "rename agent", "hibernate agent", "wake agent", "install plugin", "show agent", "export agent", "restart agent", "install marketplace", or any agent lifecycle management task.

Simule un contrôle fiscal luxembourgeois (ACD pour impôts directs + AED pour TVA) sur 8 axes, avec chefs de redressement, base légale et montants.

Esta skill planeja um produto SaaS de ponta a ponta, transformando uma ideia simples em um projeto completo com pesquisa, análise, arquitetura, especificações de funcionalidades, wireframes de frontend, fases e um guia de construção detalhado para Claude Code.

Generate crisp, high-quality images with perfect typography and precise geometric layouts using HTML/CSS. Use when creating social cards, diagrams, certificates, UI mockups, code screenshots, or any image requiring sharp text rendering, exact alignment, or vector-like precision. AI excels at designing symmetric, pixel-perfect layouts as HTML rather than generating raster images directly. Supports

Searches conversation history and semantic memory to find previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting new work to recall prior decisions and avoid repeating past discussions.

Searches conversation history and semantic memory to find previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting new work to recall prior decisions and avoid repeating past discussions.

Guides marketers through ABM program design, pipeline attribution, and sales-marketing alignment decisions; trigger when working on account selection, attribution models, lead qualification frameworks, or pipeline accountability metrics.

Activates TimeSeriesOracle for time series forecasting and anomaly detection. Use when you need trend/seasonality/residual decomposition, ARIMA, Prophet, LSTM, or ensemble forecasting with prediction intervals, Isolation Forest or statistical anomaly detection, or scenario planning with best/base/worst case projections.