Dados e Análise

Build AI that answers questions about your database. Use when you need text-to-SQL, natural language database queries, a data assistant for non-technical users, AI-powered analytics, plain English database search, or a chatbot that talks to your database. Covers DSPy pipelines for schema understanding, SQL generation, validation, and result interpretation., text-to-SQL that actually works, AI SQL

Index the codebase using Universal ctags when LSP is unavailable for a language. Generates a JSON symbol table with name, kind, file, line, and end line for all detected symbols. Supports 40+ languages natively.

Pesquise no banco de dados de ativos usando a string de filtro de pesquisa. O argumento string pode fornecer nomes, rótulos ou tipos (nomes de classe).

Read the result of a running A/B test honestly. Pulls per-variant exposure and conversion counts, computes lift, applies sequential-testing and sample-size discipline, and surfaces the result in plain language without over-claiming. Built on the experiments section of the event-schema spec; works with any platform that fires a canonical exposure event ($exposure, $experiment_started, or equivalent

Use when the agent task is best solved by writing and executing Python code — data manipulation, computation, file processing, or tasks where code is more reliable than natural language reasoning. Common scenarios - data analysis tasks where the agent writes pandas code, computation-heavy tasks where natural language reasoning fails, file processing automation, tasks requiring precise calculations

Analisa arquivos de dados de balanceamento de jogo, fórmulas e configurações para identificar anomalias, progressões quebradas, estratégias degeneradas e desequilíbrios econômicos. Utilize após modificar quaisquer dados ou designs relacionados ao balanceamento.

Meta-skill para otimizar descrições de skills usando o padrão SDS e sete técnicas essenciais. Use-a ao refinar descrições para melhorar as taxas de acionamento, otimizar existentes, validar a qualidade ou criar novas skills.

Move ativos nos caminhos especificados do projeto, destinado à renomeação, e executa um AssetDatabase.Refresh(). Use 'assets-find' para localizar os ativos primeiro.

Quick operations on `src/data/data.sqlite` — inspect the current schema, add a single column to an existing table via Drizzle migration, seed 2-5 test rows, or run a read-only SELECT/COUNT query. Trigger whenever the user wants a small, single-step database operation. Phrases like 'add a company column to testimonials', 'seed 5 rows into pricing_tiers', 'show me the schema', 'count draft vs publis

Natural-language intent naming the source dataset and what to map (e.g., "map dataset 12345 to Rosetta Stone", "evaluate the mappings on dataset N"). This skill takes no flags; it resolves the dataset and gathers context interactively. With no arguments, it asks which dataset to map.

Consultor sênior em conformidade de cibersegurança, nuvem e proteção de dados para organizações na Arábia Saudita, com expertise nos frameworks NCA, SAMA, CST e PDPL.

Monitoramento de GPU com inteligência de risco. Oferece monitoramento de frota local e na nuvem, rastreamento de saúde, alertas proativos e análise de frota impulsionada por IA.