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Found 38 Skills
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.
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in. Use for /architect, 'architect this', 'design this', or non-trivial work where jumping to code would lock in the wrong shape.
Guided feature development with codebase understanding and architecture focus. Use for implementing features systematically: explore → clarify → design → implement → test → review.
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。
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).
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.
Architecture and design review for specified files/dirs/repo. Covers tech debt, patterns, quality. Diff-only review use review-diff. Complements review-code (orchestrated).
Direct technical advisor mode for counting/estimation and architecture/design
Specialized feature development agents. Use for deep codebase exploration and architecture design during feature development.
Expert knowledge for Azure IoT development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when using IoT Hub/DPS, MQTT, IoT Plug and Play/DTDL, Azure IoT Explorer security, or industrial IoT architectures, and other Azure IoT related development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Edge (use azure-iot-edge), Azure IoT Central (use azure-iot-central), Azure Defender For Iot (use azure-defender-for-iot).
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.
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.