Dados e Análise

Swift and SwiftUI development patterns for building native iOS/iPadOS applications. Use when implementing views, view models, data persistence, networking, concurrency, and navigation. Covers Swift 6.2, SwiftUI, SwiftData, iOS 26 features including Liquid Glass and Foundation Models.

Use this agent when you need to analyze sales pipeline health, model revenue forecasts, define pipeline stage criteria, or review deal velocity metrics. Use analytics-analyst for marketing attribution and A/B testing; use this agent for post-MQL sales pipeline metrics. Use cro for cross-cutting sales strategy.

System design patterns and architectural decision frameworks for web applications and iOS native apps. Use when making technology choices, selecting architecture patterns, designing APIs, choosing databases, planning authentication, or architecting mobile app backends. Provides comparison matrices for informed decision-making.

Acionar quando o usuário precisar configurar análises, definir eventos de telemetria, estabelecer KPIs, construir painéis, configurar testes A/B ou implementar recursos de design baseado em dados.

Use this agent when you need to generate financial summaries, cash flow statements, periodic financial reports, or investor-ready financial overviews. Use budget-analyst for budget planning; use revenue-analyst for forecasting; use this agent for synthesizing financial data into reports. Use cfo for cross-cutting financial strategy.

Esta skill é usada para gerenciar arquivos AGENTS.md e regras de agentes de codificação de IA, incluindo criação, atualização, verificação e revisão. Também é aplicável quando AGENTS.md está ausente, possui metadados de versão inconsistentes, ou quando o usuário se refere a AGENTS.md, regras de agente ou ao workspace atual.

Diagnostica e resolve problemas de desempenho do Power BI no Microsoft Fabric. Esta skill aborda relatórios lentos, consultas DAX ineficientes, otimização de modelos semânticos, baixo desempenho do DirectQuery, limitação de capacidade, visuais lentos e problemas de atualização de dados, utilizando ferramentas como Performance Analyzer e DAX Studio.

Build, validate, and route SWMM pipe-network models for urban drainage from raw municipal shapefiles or structured CAD/GIS exports. Use when handling junctions, conduits, outfalls, xsections, network field-mapping configs, or wiring subcatchments to upstream nodes. Requires real pipe data (SHP / CAD / structured GeoJSON). For data-scarce areas where only a bbox is available and no pipe inventory e

Diagnose and resolve Apache Spark performance issues in Microsoft Fabric. Use when asked to troubleshoot slow Spark notebooks, optimize Spark SQL queries, fix data skew or shuffle bottlenecks, tune spark.sql.shuffle.partitions or autoBroadcastJoinThreshold, configure resource profiles (writeHeavy, readHeavyForSpark, readHeavyForPBI), enable autotune, resolve HTTP 430 throttling errors, analyze Spa

Create, configure, and manage Microsoft Fabric Data Agents that enable natural language Q&A over lakehouses, warehouses, Power BI semantic models, KQL databases, and ontologies. Use when asked to build data agents, configure NL2SQL/NL2DAX/NL2KQL experiences, write agent instructions, create example queries, automate data agent provisioning via REST API or PowerShell, integrate Fabric data agents w

GIS/DEM preprocessing for SWMM experiments using the user's own QGIS/GRASS layers. Use when Zhonghao asks to (1) delineate subcatchments through QGIS/GRASS (standard or entropy-guided), (2) preprocess QGIS-derived subcatchment polygons into builder-ready CSV, (3) identify high-entropy hotspot subcatchments, or (4) expose QGIS/GRASS-backed preprocessing as MCP tools for reproducible workflows. For

Diagnose and resolve Microsoft Fabric Lakehouse performance issues including slow Spark queries, small file problems, Delta table fragmentation, V-Order configuration, table maintenance (OPTIMIZE, VACUUM, Z-Order), SQL analytics endpoint tuning, Direct Lake performance, resource profile selection, autotune configuration, capacity throttling, and streaming ingestion optimization. Use when asked to