Dados e Análise

Orientação especializada em operações e análises de vendas para equipes de receita. Abrange as melhores práticas de Salesforce, HubSpot, Outreach, Gong e RevOps.

Multi-dimensional data assessment for training quality evaluation including IFD scoring, factuality, and reasoning validation. Use when scoring training data or evaluating dataset quality. TRIGGER when: quality scoring, data assessment, IFD, factuality, training data quality. DO NOT TRIGGER when: code quality, test coverage, documentation, non-data tasks.

Orientação especializada em pontuação de saúde e análise de clientes. Utilize para projetar pontuações de saúde, construir modelos de previsão de churn, analisar métricas de uso, identificar contas em risco, criar painéis executivos, realizar análises de coorte, desenvolver indicadores de liderança, enriquecer dados de clientes, criar estruturas de escalonamento de risco e análises de retenção.

Generate a comprehensive company snapshot using EODHD data — profile, fundamentals, recent news, sentiment, insider transactions, and key metrics. Use when the user asks about a specific company, wants a stock overview, or needs a quick investment brief.

Generate a broad market overview — major indices, sector performance, top movers, macro indicators, Treasury rates, and commodities. Use when the user asks "how's the market?", wants a daily market summary, or needs a macro context for investment decisions.

Desenvolvimento abrangente de aplicativos macOS com Swift 6.2, SwiftUI, SwiftData, Swift Concurrency, Foundation Models, Swift Testing, ScreenCaptureKit e distribuição de apps. Ideal para criar apps nativos para Mac, implementar UI, gerenciar dados, usar concorrência moderna, IA no dispositivo, testes e captura de tela/áudio.

Um assistente de finanças pessoais para orçamento, metas de poupança, acompanhamento de investimentos e otimização de dívidas. Suporta múltiplas moedas, importação de extratos bancários e regras fiscais baseadas na localidade para uma gestão financeira completa.

Explore, interpret, and draw conclusions from football data. Use when the user wants to analyse match events, compare teams or players, understand tactical patterns, build visualisations, or needs guidance on what questions to ask of their data. Adapts to the user's experience level.

Fetch financial data from EODHD API — historical prices, fundamentals, options, technical indicators, news, sentiment, macro indicators, corporate events, ESG scores, risk analytics, bank data, US Treasury rates, and trading hours. Use when the user asks for stock prices, company fundamentals, financial analysis, market data, earnings, dividends, splits, IPOs, insider transactions, screener, or bu

Fetch, scrape, or download football data from any source. Also handles API key setup and credential management. Use when the user wants to get data from StatsBomb, Opta, FBref, Understat, SportMonks, Wyscout, Kaggle, or any football data source. Also use when they ask about API keys, authentication, setting up access to a provider, or what data is available free vs paid.

Review football data code and visualisations for correctness. Use after building a chart, data pipeline, or analysis. Dispatches specialised reviewers for data correctness, chart conventions, visual inspection, and interactive edge cases.

Fix broken data scrapers and pipelines. Use when data acquisition fails, a scraper breaks, an API returns errors, or data format has changed. Also handles submitting upstream issues or PRs when the problem is in a dependency like soccerdata or kloppy.