'managed service' 검색 결과

Build AI-enabled .NET applications with Semantic Kernel using services, plugins, prompts, and function-calling patterns that remain testable and maintainable. USE FOR: adding AI-driven prompts, plugins, or orchestration to a .NET app; reviewing kernel construction, service registration, or plugin usage; building function-calling. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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Design and implement Minimal APIs in ASP.NET Core using handler-first endpoints, route groups, filters, and lightweight composition suited to modern .NET services. USE FOR: building new HTTP APIs in ASP.NET Core; creating lightweight microservices; choosing between Minimal APIs and controllers. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.

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Use when a native C/C++ app, service, or user-mode driver host (including UMDF) crashes with a structured exception in a dump or WinDbg session, including native faults inside managed processes. Not for managed .NET exceptions, WinUI/XAML app errors, or kernel bugchecks.

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Use when reviewing, designing, or modifying Java enterprise systems from a maintainer-authored or maintainer-sanitized NIS2 engineering evidence inventory. Supports essential or important entities, critical-sector services, managed service providers, supply-chain dependencies, and cybersecurity incident escalation obligations without ingesting raw code, logs, runbooks, tickets, provider documents, or other operational free text. Part of Plinth Toolkit

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Use when you need to create a new Maven-based Quarkus 3.x project using SDKMAN-managed Java and Quarkus CLI tooling. This should trigger for requests such as Create a Quarkus Maven project; Bootstrap Quarkus project with SDKMAN; Generate a new Quarkus service; Create Quarkus 3 Maven project; Scaffold Quarkus service with Java 25. Part of Plinth Toolkit

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Use when you need to create a new Maven-based Spring Boot 4.0.x project using SDKMAN-managed Java and Spring Boot CLI tooling. This should trigger for requests such as Create a Spring Boot Maven project; Bootstrap Spring Boot project with SDKMAN; Generate a new Spring Boot service; Create Spring Boot 4 Maven project; Scaffold Spring Boot service with Java 25. Part of Plinth Toolkit

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when you need to create a new Maven-based Micronaut 4.x project using SDKMAN-managed Java and Micronaut CLI tooling. This should trigger for requests such as Create a Micronaut Maven project; Bootstrap Micronaut project with SDKMAN; Generate a new Micronaut service; Create Micronaut 4 Maven project; Scaffold Micronaut service with Java 25. Part of Plinth Toolkit

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when designing, querying, or troubleshooting the Financial Services Cloud data model — including managed-package (FinServ__ namespace) and Core FSC (standard objects, no namespace) object structures, household relationship modeling, financial account ownership, and the FSC rollup framework. Trigger keywords: FSC data model, FinancialAccount, FinancialHolding, FinancialAccountRole, FinancialAccountParty, FinServ namespace, household rollup, AssetsAndLiabilities, FinancialGoal, LifeEvent, AccountContactRelation FSC. NOT for setting up financial accounts and roles in Setup — use admin/financial-account-setup. NOT for household membership and rollup scheduling — use admin/household-model-configuration.

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Execute lateral movement within Microsoft Entra ID (formerly Azure AD) and Microsoft 365 environments. Use this skill to traverse cloud resources using compromised user tokens, managed identities, Primary Refresh Tokens (PRT), and application permissions (Service Principals) to achieve Global Administrator access.

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Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers migration to Airflow 2.11.1 (MSAA Gen 2 and 3) and Airflow 3 (MSAA Gen 3), including environment inspection, GCS download/upload and scanning patterns for breaking changes. Use when migrating the DAG code to newer Airflow version. Don't use when checking DAG run failures unrelated to code migration.

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Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs.

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Use this skill when gathering, structuring, and documenting requirements for a Financial Services Cloud (FSC) wealth management implementation — including financial planning workflow discovery, portfolio review process mapping, client lifecycle requirements, advisor tooling needs, and FSC architecture determination (managed package vs. FSC Core). Trigger keywords: wealth management requirements, FSC requirements gathering, financial planning workflow, portfolio review process, advisor tools setup, FSC data model scoping, wealth management process mapping. NOT for implementation, configuration, or code — use financial-account-setup, fsc-action-plans, or apex/fsc-financial-calculations for those. NOT for FSC architecture decisions — use architect/wealth-management-architecture. NOT for Health Cloud or NPSP requirements.

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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

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Azure Identity Java SDK for authentication with Azure services. Use when implementing DefaultAzureCredential, managed identity, service principal, or any Azure authentication pattern in Java applic...

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Authenticate to Azure services using Azure Identity SDK for JavaScript (@azure/identity). Use when configuring authentication with DefaultAzureCredential, managed identity, service principals, or i...

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Calculate ROI for AI-as-a-Service (managed AI agents). Estimates cost savings, efficiency gains, and payback period for deploying AI agents across business operations. Use when evaluating whether managed AI agents make financial sense for a company.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

기존 OpenClaw Gateway를 설치 환경의 관리 절차에 따라 업데이트하고, 재시작 후 세션 복구와 목표 버전의 실행 여부, 연결 및 화면 상태를 확인합니다.

• 로컬 Gateway 업데이트
• 관리 서버의 업데이트 절차 선택
• 재시작 후 세션 복구 확인

x402로 AI 에이전트의 유료 API 및 서비스 결제를 연동하고, 작업별·세션별 예산과 수신자 제한, 개인 키를 직접 관리하는 지갑을 설정합니다.

• 에이전트의 유료 API 이용에 활용합니다
• 작업별·세션별 지출 한도를 설정합니다
• 수신자·네트워크·자산을 제한합니다

Generate an Excel workbook file in an agent session without an open Office app. Use Python and openpyxl to organize inputs, formulas, and checks, then save the .xlsx file and return its relative path.

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• Creating an Excel file without opening Office
• Keeping model inputs and calculations on separate sheets
• Adding a sheet for financial consistency checks

Build a PowerPoint file with Python when no Office app is open. It uses python-pptx, applies a supplied firm template when available, and saves the deck locally with a path for collection by the surrounding workflow.

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• Creating slides in an environment without an open Office app
• Building a deck from a supplied firm template
• Delivering model-based slides as a local file

Integrate Microsoft Graph SDK into .NET, TypeScript/JavaScript, or Python applications to access Microsoft 365 data. Covers authentication, permissions, paginated results, incremental synchronization, change notifications, and retries when requests hit service limits.

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• Building apps that access Microsoft 365 mail and calendars
• Integrating Teams, OneDrive, and SharePoint data
• Synchronizing only data changed since the previous run

Build AWS applications with managed services that reduce server administration. Follow patterns for Lambda functions, HTTP APIs, database access, and queued background processing, with guidance on deployment and delays when functions first start.

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• Build HTTP APIs with Lambda and API Gateway
• Read and write application data in DynamoDB
• Process SQS messages with retries and a dead-letter queue

Design an enterprise search system that answers questions using retrieved company content, an approach called RAG. Gather requirements and produce architecture diagrams, deployment guidance, and validation plans using GKE, AlloyDB, and open models.

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• Designing conversational search for internal documents
• Planning RAG with a vector-enabled SQL database
• Hosting open models on GKE

Guides an application’s first deployment to GKE, Google’s managed Kubernetes service. Covers application assessment, container creation, image storage, deployment configuration, security settings, health checks, and verification that the application is running.

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• Deploying an existing application to GKE for the first time
• Creating a Dockerfile and registering a container image
• Preparing deployment configuration with health checks