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Found 2,228 Skills
Expert knowledge for Azure Arc development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Arc-enabled Kubernetes, servers, SQL MI, Edge RAG, resource bridge, or SCVMM/VMware integration, and other Azure Arc related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Virtual Machines (use azure-virtual-machines), Azure Policy (use azure-policy), Azure Monitor (use azure-monitor).
Expert knowledge for Azure Cosmos DB development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Cosmos DB NoSQL/Mongo/Cassandra/PostgreSQL APIs, change feed, vector search, global distribution, or HTAP workloads, and other Azure Cosmos DB related development tasks. Not for Azure Table Storage (use azure-table-storage), Azure SQL Database (use azure-sql-database), Azure SQL Managed Instance (use azure-sql-managed-instance), Azure Blob Storage (use azure-blob-storage).
Expert knowledge for Azure AI Video Indexer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Video Indexer APIs/widgets, live camera indexing, custom speech/brand models, or Azure OpenAI integrations, and other Azure AI Video Indexer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Vision (use azure-ai-vision).
Execute a micro-level React code quality audit. Validates code against live GitHub standards for testing, component architecture, hooks patterns, state management, performance, and TypeScript. Produces a detailed violations report with prioritized action plan. Use when the user asks to check React code quality, validate best practices, or review frontend code standards. Triggers on: 'react best practices', 'react code quality', 'component review', 'hooks review', 'react standards', 'frontend code quality'.
Use when you need to add or evaluate Maven dependencies that improve code quality — including nullness annotations (JSpecify), static analysis (Error Prone + NullAway), functional programming (VAVR), or architecture testing (ArchUnit) — and want a consultative, question-driven approach that adds only what you actually need. Part of the skills-for-java project
Unity 6 core concepts and architecture guide. Use when working with GameObjects, Components, Transforms, Scenes, Prefabs, ScriptableObjects, or Unity project structure. Covers the entity-component architecture, object hierarchy, tags, layers, and project conventions. Based on Unity 6.3 LTS documentation.
Execute a single task from a Jira task plan using a structured pipeline of specialist subagents: planning, testing, refactoring, implementation, documentation, code-quality review, architecture review, security audit, and requirements verification. The user must specify which task number to execute. Use when the user says "execute task 3", "work on task 2", "implement task 1", "start task 5 for PROJECT-1234", or "run task N". Also triggered by the orchestrating-jira-workflow skill as Phase 5 of the end-to-end pipeline (called once per task). Requires that the task plan exists at docs/<TICKET_KEY>-tasks.md. Executes ONLY the specified task — never continues to the next one without explicit user approval.
Expert knowledge for Azure Functions development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building HTTP/queue/event-triggered Functions, Durable orchestrations, containerized Functions, CI/CD, or Dapr/OpenAI integrations, and other Azure Functions related development tasks. Not for Azure App Service (use azure-app-service), Azure Logic Apps (use azure-logic-apps), Azure Container Apps (use azure-container-apps), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
Use when the user needs project structure organization — monorepo patterns, feature-based architecture, naming conventions, barrel exports, or configuration placement. Trigger conditions: restructure project directories, set up monorepo, define naming conventions, create barrel exports, organize configuration files, plan migration from flat to feature-based structure, establish import ordering rules.
Build .NET applications with WolverineFX for messaging, HTTP services, and event sourcing. Use when implementing command handlers, message handlers, HTTP endpoints with WolverineFx.HTTP, transactional outbox patterns, event sourcing with Marten, CQRS architectures, cascading messages, batch message processing, or configuring transports like RabbitMQ, Azure Service Bus, or Amazon SQS.
Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.
Salesforce Flex Credit estimation for Agentforce and Data Cloud workloads. TRIGGER when: user needs cost projections, scenario planning, budget sizing, or architecture tradeoff analysis for Agentforce prompts/actions, Data Cloud meters, or monthly Flex Credit usage. DO NOT TRIGGER when: user is building Agentforce metadata or .agent files themselves (use sf-ai-agentforce or sf-ai-agentscript), implementing Data Cloud assets (use sf-datacloud-*), or asking for contract-specific commercial approval that depends on non-public pricing terms.