Dados e Análise

Produces a concise, journalist-ready profile of the population structure, trends, and key demographic characteristics of a specified region, city, country, or community — ready to use as background for a story or segment.

Writes a concise, informative caption for a published infographic that tells readers what the visual shows, highlights the most important finding, and cites the data source — without simply repeating what is already visible on the graphic itself.

Produces a structured summary of what a dataset contains, what it covers, what its limitations are, and what story angles it could plausibly support — written as a briefing document for a journalist or editor.

Council review reference data — expertise weights, structured response format, scoring thresholds, and false positive taxonomy. Background knowledge for council subagents.

Reads a set of data points or a described data series and identifies the meaningful trends within it, expressed in plain, publication-ready language.

Auditoria de código em duas passagens, combinando uma revisão profunda adversarial do Opus com uma segunda opinião padrão do Codex. É ideal para uso após implementar funcionalidades, corrigir bugs ou quando solicitado, verificando tipos, contratos de API, consistência de dados, autenticação, paginação, código morto e casos de borda.

HuggingFace hf CLI: search/download/upload models, datasets.

Writes a precise, accessible text description of a data visualization — covering the chart type, what it shows, the key finding, and the data range — suitable for publication as a caption, alt-text, or standfirst alongside the chart.

Escreve o texto de anotação para um gráfico de dados — rótulos de eixos, caixas de destaque, rótulos de tendências, linhas de fonte e notas explicativas — para que um leitor possa entender a principal descoberta do gráfico sem ler o artigo circundante.

Writes clear, step-by-step instructions for cleaning a messy or inconsistent dataset — specifying exactly what needs to be standardised, corrected, or removed to make the data ready for analysis and publication.

Controller-service-query layered API architecture with data enrichment and parallel fetching. Use when building REST APIs or GraphQL resolvers with clean separation of concerns. Triggers on API architecture, service layer, controller pattern, data enrichment, REST API.

REST and GraphQL API design principles — resource modeling, HTTP semantics, pagination, error handling, HATEOAS, schema design, and DataLoader patterns. Use when designing new APIs, reviewing specs, or establishing team API standards.