Explorar skills

This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring pla

Apple-canon design system consultation for SwiftUI projects. Produces DESIGN.md (human source of truth) + a Swift Package starter (DesignSystem.swift + Package.swift + Tests) wired with semantic colors, SF Pro typography, Liquid Glass material discipline, named motion presets, and accessibility baseline. Orchestrates the swiftui-rag MCP surface for canonical patterns and HIG citations, uses /htmli

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create vi

Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.

Use after completing any PRD, spec, or implementation plan — before implementation begins. Hunts perceived-quality pitfalls (silent failures, missing loading states, empty states, error recovery, state drift, animations, AI output, sudo flows) that make a product feel cheap or broken even when it technically works. Complementary to pitfall-verification.

Rastreia posts do Reddit por palavra-chave, classifica intenção e sentimento por setor, traduz para chinês e exporta um relatório de inteligência bilíngue em Excel.

Write and debug spreadsheet formulas (Excel/Google Sheets), pivot tables, and array formulas; translate between dialects; use when users need working formulas with examples and edge-case checks.

Track-aware wrapper around gstack's /office-hours skill. Runs the upstream office-hours session (six forcing questions / builder mode), detects native vs web intent from the resulting design doc, asks the platform question (iOS / macOS / both) if native, writes .gstack/track, renders DESIGN.html via htmlify and OPENS it in Safari BEFORE the approval gate, then asks "Approve / Revise / Restart" — f

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create vi

Excel generator with AI-powered data analysis, charts, formulas, and web search. Create spreadsheets, analyze CSV/Excel/PDF files, generate HTML reports, and get real-time data.

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review standards, or mentoring developers.

Use when creating or improving a README for any project — open source libraries, CLI tools, GUI applications, APIs, or internal tools. Triggers on: writing README, improve README, project documentation, onboarding docs.