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Found 3,129 Skills
Expert knowledge for Azure Blueprints development including troubleshooting, architecture & design patterns, security, configuration, and integrations & coding patterns. Use when defining Azure Blueprints, mapping built-in compliance sets, automating via CLI/PowerShell/REST, or fixing assignment errors, and other Azure Blueprints related development tasks. Not for Azure Policy (use azure-policy), Azure Resource Manager (use azure-resource-manager), Azure Managed Applications (use azure-managed-applications), Azure Deployment Environments (use azure-deployment-environments).
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Azure ML pipelines, AutoML, managed online/batch endpoints, prompt flow, or MLflow deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Data Science Virtual Machines (use azure-data-science-vm).
Expert knowledge for Azure Container Registry development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using ACR Tasks, geo-replication/connected registries, Defender scans, Notation signing, or AKS/ACI pulls, and other Azure Container Registry related development tasks. Not for Azure Container Apps (use azure-container-apps), Azure Container Instances (use azure-container-instances), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Red Hat OpenShift (use azure-redhat-openshift).
Expert knowledge for Azure AI Document Intelligence development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AnalyzeDocument/Markdown APIs, custom models, containers/Docker, SAS/managed identity, or VNets, and other Azure AI Document Intelligence related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Language (use azure-language-service), Azure AI Immersive Reader (use azure-immersive-reader).
Expert knowledge for Azure SignalR Service development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when choosing SignalR mode, configuring upstreams/custom domains, securing with Entra ID/MI, scaling/sharding, or tracing issues, and other Azure SignalR Service related development tasks. Not for Azure Web PubSub (use azure-web-pubsub), Azure Service Bus (use azure-service-bus), Azure Event Hubs (use azure-event-hubs).
End-to-end workflow—review changes, create a Japanese commit per commit-jp, run pnpm lint && pnpm test, then push to origin per push. Use when the user wants to commit and publish in one go. Does not open or update PRs—use create-pr-jp for that.
A skill for creating new addons for Kubernetes deployments using the Mojaloop addon structure.
Universal Saleor app development patterns. Covers the app protocol (manifest, registration, webhooks, authentication), SDK abstractions, settings persistence, and Dashboard integration. Framework-agnostic with Next.js examples.
Structured git commit messages following Conventional Commits format for Go projects. Generates well-scoped, atomic commits with clear descriptions. Use when committing changes, writing commit messages, preparing PRs, or reviewing commit history quality. Trigger examples: "commit these changes", "create commit", "commit message", "prepare PR", "squash commits". Do NOT use for changelog generation (use changelog-generator) or code review (use go-code-review).
Generates Enonic XP scripts for bulk content operations — creating, updating, querying, migrating, and transforming content using lib-content and lib-node APIs. Covers the query DSL (NoQL), aggregations, batch processing, task controllers for long-running operations, and export/import workflows. Use when writing bulk content creation, update, or deletion scripts, querying with NoQL syntax, migrating content between environments, running long-running task operations, or working with aggregations and paginated retrieval. Do not use for Guillotine GraphQL frontend queries, content type schema definitions, single contentLib.get() calls, or non-Enonic data migration tools.
Composes, debugs, and optimizes Guillotine GraphQL queries for Enonic XP headless content delivery. Covers query construction, variable usage, filtering, aggregation, pagination, sorting, and TypeScript type generation from the auto-generated Guillotine schema. Use when writing or troubleshooting Guillotine queries, querying custom content types through GraphQL, or generating typed interfaces from Guillotine responses. Don't use for content type XML definitions, non-Enonic GraphQL APIs (Apollo, Hasura), server-side lib-content queries, or Guillotine deployment and CORS configuration.
Run Gemini CLI review against the current branch, fix only the review comments that are still valid for the current codebase, and leave invalid comments unchanged.