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Found 34 Skills
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing ADF pipelines, mapping data flows, SHIR/SSIS IR, SAP CDC, or CI/CD with ARM/DevOps, and other Azure Data Factory related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics), Azure Data Explorer (use azure-data-explorer).
This skill should be used when the user asks to "import", "export", "data migration", "XML", "Excel", "CSV", "bulk load", "data transfer", or any ServiceNow Import/Export development.
Generates a one-page Monday morning briefing — cash, sales, pipeline, week ahead, top three to-dos. Accepts optional post destination and save-to arguments.
AE Data Development and Operations: Data warehouse management, flow orchestration, IDE queries, and data integration
Twelve Data integration. Manage data, records, and automate workflows. Use when the user wants to interact with Twelve Data data.
Creates Power Apps code apps using React and Vite. Use when building code apps, scaffolding projects, or deploying to Power Platform.
Toolkit for linking VoC feedback with telemetry, revenue, and operational data.
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
Design and conduct mixed methods research using convergent, explanatory sequential, or exploratory sequential strategies with genuine integration of qualitative and quantitative strands. Use this skill when the user needs to choose a mixed methods design, integrate qualitative and quantitative data at design, methods, or interpretation levels, justify mixing on pragmatist grounds, or when they ask 'which mixed methods design should I use', 'how do I integrate qual and quant findings', or 'is running both qual and quant enough to be mixed methods'.
OmniStudio Data Mapper (formerly DataRaptor) creation and validation with 100-point scoring. Use when building Extract, Transform, Load, or Turbo Extract Data Mappers, mapping Salesforce object fields, or reviewing existing Data Mapper configurations. TRIGGER when: user creates Data Mappers, configures field mappings, works with OmniDataTransform metadata, or asks about DataRaptor/Data Mapper patterns. DO NOT TRIGGER when: building Integration Procedures (use omnistudio-integration-procedure-generate), authoring OmniScripts (use omnistudio-omniscript-generate), or analyzing cross-component dependencies (use omnistudio-dependencies-analyze).
Build Celigo flows -- pipelines that move data from source systems to destination systems on a schedule or in response to events. Covers scheduling, chaining, error management, and abstract/instance templating. Use when creating, editing, or debugging flows.
Boomi platform help — enterprise iPaaS, 1000+ connectors, API Management, Data Hub MDM, Flow low-code builder, Event Streams, B2B/EDI, AgentStudio AI agents, MCP support. Use when Boomi integration keeps failing or data isn't syncing, connector won't authenticate to SAP or Salesforce, per-connection pricing is spiraling and you need to optimize, debugging a Boomi process is painful with vague error messages, evaluating Boomi vs MuleSoft vs Workato, or setting up API management and governance. Do NOT use for simple Zapier/Make automations (use /sales-integration) or MuleSoft-specific questions (use /sales-mulesoft).