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Found 41 Skills
Generate hand-drawn style diagrams (architecture, flowcharts, system design) as .excalidraw.json files. Use when user wants diagrams, mentions Excalidraw, or needs Mermaid-to-visual conversion.
Direct technical advisor mode for counting/estimation and architecture/design
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow, Lakebase, Delta Sharing, Databricks SQL, or Model Serving workloads, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
Guided feature development with codebase understanding and architecture focus. Use for implementing features systematically: explore → clarify → design → implement → test → review.
Expert knowledge for Azure Route Server development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, and configuration. Use when designing hub-spoke or multi-region topologies, BGP peering with NVAs/on-prem, tuning routing policies, or fixing route propagation issues, and other Azure Route Server related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
Transform specifications into implementation plans with architecture design and dependency-ordered tasks. Use for spec-to-plan conversion, task breakdown, effort estimation. Skip if no spec exists.
Write technical specifications that give agents enough context to implement features while leaving room for autonomous research and decision-making. Use when planning features, documenting architecture decisions, or creating implementation guides.
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.
Comprehensive AEM (Adobe Experience Manager) architecture design skill for enterprise implementations. Use this skill when building AEM components, designing content architecture, configuring Dispatcher caching, creating dialogs with Granite UI, implementing Sling Models, OSGi services, servlets, or ClientLibs. Covers component development, performance optimization, caching strategies, security best practices, and CI/CD with Cloud Manager. Supports both AEM 6.5 and AEM as a Cloud Service. Also creates architecture diagrams (Mermaid, ASCII) for AEM systems. Triggers on requests for AEM development guidance, component creation, dialog design, caching configuration, architectural decisions, or diagram/visualization requests for AEM projects.
Expert knowledge for Azure Payment Hsm development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when designing Payment HSM VNets/FastPath, payShield Manager access, HA/DR topologies, SKUs, or traffic inspection, and other Azure Payment Hsm related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Key Vault (use azure-key-vault), Azure Cloud Hsm (use azure-cloud-hsm), Azure Security (use azure-security).
Expert knowledge for Azure Baremetal Infrastructure development including decision making, and architecture & design patterns. Use when choosing NC2 regions/SKUs, planning BareMetal topologies, or integrating NC2 with Azure networking/services, and other Azure Baremetal Infrastructure related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SAP HANA on Azure Large Instances (use azure-sap).
Design optimal cloud architecture based on your platform engineering requirements. Use when planning new services, migrations, or infrastructure changes that must align with organizational standards.