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Found 19 Skills
Daily coding assistant that auto-triggers when writing/modifying code, providing a core checklist. ✅ Trigger scenarios: - Implementing new features, adding code, modifying existing code - User requests "write a...", "implement...", "add...", "modify..." - Any coding task involving Edit/Write tools ❌ Does not trigger: - Pure reading/understanding code (no modification intent) - Already covered by specialized skills (bug-detective, architecture-design, tdd-guide) - Configuration file changes, documentation writing
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 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).
Guided feature development with codebase understanding and architecture focus. Use for implementing features systematically: explore → clarify → design → implement → test → review.
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).
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.
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).
Interactive project planning for PRD, architecture, and epic/story generation. Use for new projects, planning features, creating PRDs, designing architecture, breaking down work into epics and stories.
一个全面、结构化的特性开发工作流程，包含代码库探索、架构设计、质量审查和实现等专门阶段。在构建需要以下条件的新特性时使用：（1）在做出更改之前了解现有代码库，（2）通过系统性的提问澄清模糊的需求，（3）在实现之前设计周到的架构，（4）通过多维度的代码审查确保质量。非常适合涉及多个文件、需要架构决策、包含复杂集成或需求有些不明确的功能特性。
Use when you have a raw idea or request and want to run the full analytics pipeline automatically — from research through to an interlinked task list. Best for straightforward problems where the full pipeline can flow with minimal back-and-forth.