Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Cloud & DevOps
Builds and deploys compiled Airflow Java SDK bundles so workers can run them. Use when the user wants to package a JVM task bundle into a JAR, asks about the `org.apache.airflow.sdk` Gradle plugin, `./gradlew bundle`, the Maven shade/BOM setup, fat vs thin JARs, the logging integration artifacts (JPL, SLF4J, Log4j 2, JUL), preview/snapshot builds, or getting the JAR onto an Airflow worker (Docker, Kubernetes, or Astro). For the task code see authoring-java-sdk-tasks; for the Airflow coordinator settings see configuring-airflow-language-sdks.
Set up, upgrade, operate, and diagnose Hot Updater projects. Use for provider infrastructure setup or upgrades, server template extraction, deployment, delivery policy, rollback, promotion, Bundle inspection, patching, Storage cleanup, channels, signing keys, API keys, Remote Config templates, Insights reads such as update failures and installations, database migrations, app versions, fingerprints, and doctor diagnosis and repair. Discover commands and options from the selected project's live CLI help; do not use this skill to develop Hot Updater itself.
Diagnose why a request was blocked by Alibaba Cloud WAF. Retrieves block logs, identifies the triggering rule, and provides remediation guidance. Supports disabling problematic rules and managing WAF log collection settings. Use when users report being blocked by WAF, encounter 405/block error pages, see "Your request has been blocked" messages, or need to investigate and fix WAF interception issues. Trigger words: "WAF block query", "blocked by WAF", "405 troubleshooting", "request blocked", "checkresponse", "intercept query", "WAF拦截", "被WAF拦截", "disable WAF rule", "enable WAF log"
Expert knowledge for Azure AI Anomaly Detector development, including troubleshooting, best practices, limits and quotas, configuration, and deployment. Use when tuning Docker-based Anomaly Detector, ACI or IoT Edge deployments, univariate/multivariate APIs, service limits, or other Azure AI Anomaly Detector development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), or Azure Machine Learning (use azure-machine-learning)
Expert knowledge for Azure Attestation development, including troubleshooting, best practices, security, configuration, and deployment. Use when validating attestation tokens, authoring policies, enforcing SGX/TPM baselines, configuring private endpoints, and for other Azure Attestation development tasks. Not for Azure Confidential Computing (use azure-confidential-computing), Azure Virtual Enclaves (use azure-virtual-enclaves), Azure Dedicated HSM (use azure-dedicated-hsm), or Azure Key Vault (use azure-key-vault).
Expert knowledge for Azure Cloud Hsm development, including troubleshooting, best practices, limits and quotas, security, and integrations and coding patterns. Use when configuring Cloud HSM authentication/networking, routing logs, managing PKCS#11 keys/certs, handling capacity/algorithm limits, or performing other Azure Cloud Hsm-related development tasks. Not for Azure Dedicated HSM (use azure-dedicated-hsm), Azure Key Vault (use azure-key-vault), or Azure Payment Hsm (use azure-payment-hsm).
Expert knowledge for Azure AI Custom Vision development, including best practices, decision-making, limits and quotas, security, integrations, coding patterns, and deployment. Use for exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, Smart Labeler, and other Azure AI Custom Vision development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), or Azure AI Foundry Local (use microsoft-foundry-local).
Expert knowledge for Azure Digital Twins development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when modeling DTDL graphs, integrating IoT Hub/ADx, configuring endpoints/routes, securing access, tuning query units, and for other Azure Digital Twins development tasks. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), or Azure IoT Operations (use azure-iot-operations).
Expert knowledge for Azure Network Function Manager development, including security and configuration. Use when setting up NF Manager prerequisites, resource groups, managed identities, role assignments, or secure NF access, and for other Azure Network Function Manager development tasks. Not for Azure Firewall Manager (use azure-firewall-manager), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure Virtual Network (use azure-virtual-network), or Azure Virtual WAN (use azure-virtual-wan).
Expert knowledge for Azure Operator Nexus development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, and deployment. Use for configuring Nexus fabric ACLs/BGP, isolation domains, AKS settings, storage topology, or upgrade workflows, and other Azure Operator Nexus development tasks. Not for Azure Operator Insights (use azure-operator-insights), Azure Operator Service Manager (use azure-operator-service-manager), Azure Networking (use azure-networking), or Azure Virtual Network (use azure-virtual-network).
Expert knowledge for Azure Service Connector development, including troubleshooting, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when connecting Azure compute to Redis, databases, storage, messaging, AI services, or third-party endpoints, and for other Azure Service Connector development tasks. Not for Azure API Management (use azure-api-management), Azure Connector Namespace (use azure-connector-namespace), Azure Logic Apps (use azure-logic-apps), or Azure Service Bus (use azure-service-bus).
Expert knowledge for Azure Service Fabric development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use for designing Service Fabric clusters, Reliable Services/Actors, CRP/CRM, reverse proxies, or sfctl/EventStore APIs, and other Azure Service Fabric development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Apps (use azure-container-apps), Azure App Service (use azure-app-service), or Azure Functions (use azure-functions).
Expert knowledge for Azure Stream Analytics development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when building ASA jobs with Event Hubs/Kafka, Cosmos/SQL outputs, autoscaling, VNets/private endpoints, or edge/IoT workloads, and for other Azure Stream Analytics-related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), or Azure Event Hubs (use azure-event-hubs).
Determine when a PostHog code change reached a given environment by reading the hidden GIT deploy annotations in the project and correlating them with the merge commit on GitHub. Use when PostHog staff ask "when was X deployed", "is my change live in the US/EU yet", "has my PR shipped", "did the fix roll out to prod-us", or otherwise want to know whether/when a commit, PR, or feature went out to a region. Do not answer deploy-timing questions from event/data volume alone — that only shows when data changed, not when code shipped.
Security review of Infrastructure-as-Code (Terraform, Kubernetes, CloudFormation). Use when reviewing IaC files for misconfigurations, overpermissioning, exposed resources, missing encryption, secrets in code, and supply chain risks. Covers CIS benchmarks and cloud security best practices.
Inspect Vercel projects, deployments, build logs and domains via the Vercel REST API. Use when the user mentions Vercel, a deployment that failed / is building, build or runtime logs, a preview URL, project domains, or wants to check / redeploy a Vercel project.
Manage the full lifecycle of Alibaba Cloud PAI DSW (Data Science Workshop) instances — create, update, query, list, start, stop, and look up ECS specs. Triggers: PAI DSW, DSW instance, create instance, start instance, stop instance, update instance, query instance, instance list, ECS spec, CreateInstance, UpdateInstance, GetInstance, ListInstances, StartInstance, StopInstance, ListEcsSpecs
Expert knowledge for Azure Business Process Tracking development, including deployment. Use when creating CI/CD pipelines, automating builds, running tests, and deploying tracking solutions via DevOps tools, and for other Azure Business Process Tracking development tasks. Not for Azure Monitor (use azure-monitor), Azure Logic Apps (use azure-logic-apps), Azure Data Factory (use azure-data-factory), or Azure Machine Learning (use azure-machine-learning).
Expert knowledge for Azure Managed Applications development, including limits and quotas, security, configuration, and deployment. Use for designing createUiDefinition UIs, JIT access, managed identities, StorageAccountSelector, Bicep-based catalog publishing, and other Azure Managed Applications development tasks. Not for Azure Blueprints (use azure-blueprints), Azure Resource Manager (use azure-resource-manager), Azure Lighthouse (use azure-lighthouse), or Azure Partner Solutions (use azure-partner-solutions).
Expert knowledge for Playwright Workspaces development including troubleshooting, best practices, decision making, limits & quotas, security, and configuration. Use when managing Playwright Testing workspaces, tokens/RBAC, quotas, monitoring/metrics, or run/AADSTS7000112 issues, and other Playwright Workspaces related development tasks. Not for Azure App Testing (use azure-app-testing), Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Test Plans (use azure-test-plans).
Expert knowledge for Azure Quantum development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, and integrations and coding patterns. Use when submitting Q#/OpenQASM jobs, configuring workspaces, managing IonQ/Quantinuum/Rigetti usage, or running hybrid workflows, and for other Azure Quantum development tasks.
Expert knowledge for Azure Route Server development, including troubleshooting, best practices, architecture and design patterns, limits and quotas, security, and configuration. Use when designing Route Server topologies, BGP peering and policies, route maps, RBAC access, capacity limits, or 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), or Azure Traffic Manager (use azure-traffic-manager).
Expert knowledge for Azure Virtual Machine Scale Sets development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when configuring autoscaling/standby pools, zone balancing, disk encryption with Key Vault, rolling upgrades, or other Azure Virtual Machine Scale Sets-related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Instances (use azure-container-instances), or Azure App Service (use azure-app-service).
Configures environment variables for Power Pages site settings to support ALM across environments. Creates environment variable definitions in Dataverse, guides the user through linking site settings to those variables via the Power Pages Management app, adds the variables to the solution, and generates a deployment-settings.json file with per-stage override values. Use when asked to: "configure environment variables", "add env vars", "set up deployment variables", "make site settings environment-specific", "configure ALM variables", "set up env-specific settings", "add deployment settings", "configure per-environment settings"
Huawei Cloud CCE Metric analysis skill using the Python dispatcher with hcloud-backed cloud service queries. Use this skill when the user wants to: (1) query Pod/Node/CoreDNS/nginx-ingress/autoscaler/control-plane CPU, memory, disk, QPS, latency, request, connection, certificate, scaling, or error-rate metrics, (2) get resource usage TopN rankings, (3) query ECS/ELB/EIP/NAT cloud resource metrics, (4) aggregate cluster monitoring data with anomaly detection, (5) detect threshold-based resource anomalies. Trigger: user mentions "metric analysis", "指标分析", "CCE metrics", "CCE 指标", "AOM metrics", "AOM 指标", "CoreDNS metrics", "CoreDNS 指标", "nginx ingress metrics", "nginx-ingress 指标", "autoscaler metrics", "autoscaler 指标", "HPA metrics", "HPA 指标", "apiserver metrics", "etcd metrics", "controller manager metrics", "scheduler metrics", "control plane metrics", "控制面指标", "certificate expiration", "证书过期", "resource metrics", "资源指标", "CPU usage", "CPU 使用率", "memory usage", "内存使用率", "performance monitoring", "性能监控", "TopN", "resource ranking", "资源排名"
Creates, modifies, and debugs Infrahub Generators—design-driven automation that builds infrastructure objects from templates and topology definitions. Trigger when: building design-to-implementation workflows, auto-creating objects from templates, topology-driven generation, modifying or extending an existing generator, debugging why a generator produced or deleted the wrong objects or left a field empty or incorrect, or changing what a generator produces. Do not trigger when: designing schemas, writing data transforms, querying live data, or populating static data files.
Use when Godot 4.7 work must run without a mouse or at scale: batch import of hundreds of GLB props or an AI image-to-3D art drop, naming rules, import presets and post-import scripts, editor plugins, EditorScript and @tool, EditorImportPlugin, GUT or gdUnit4 tests in CI, a GitHub Actions export workflow, GDExtension basics, or a Godot MCP server; also when --import is slow, textures stay uncompressed, tests pass locally but CI fails, or an export ships test folders.
Creates a Dataverse publisher and solution, then adds Power Pages site components to the solution for ALM and deployment management. Use when asked to: "create solution", "set up solution", "add to solution", "package site into solution", "create publisher", "solutionize my site", or "set up ALM for my site".
Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and an OpenAI-compatible API endpoint. Use this skill whenever the user wants to deploy, run, or serve vLLM on a Kubernetes cluster, including creating deployments, services, checking existing deployments, or managing vLLM on K8s
ADF activity nesting rules, limits, and validation gotchas. PROACTIVELY activate for: (1) ADF activity nesting rules (ForEach inside If, Switch, Until), (2) ForEach limitations (no nested ForEach, item limits), (3) pipeline validation errors and ARM-template build failures, (4) linked service authentication issues, (5) Set Variable restrictions in ForEach, (6) Data Flow constraints (transformation limits, source/sink rules), (7) parameter and variable scope, (8) max activities per pipeline, (9) pipeline concurrency limits. Provides: nesting rule matrix, activity limit reference, validation error catalog, and refactoring patterns for unsupported nesting.
Expert knowledge for Azure Data Box development including troubleshooting, best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when using Data Box/Disk/Heavy for offline data copy, SMB/NFS uploads, REST APIs, CMKs/Key Vault, or NTFS ACL preservation, and other Azure Data Box related development tasks. Not for Azure Import Export (use azure-import-export), Azure Stack Edge (use azure-stack-edge), Azure Virtual Machines (use azure-virtual-machines).
Expert knowledge for Azure Energy Data Services development, including troubleshooting, decision-making, architecture and design patterns, security, configuration, integrations and coding patterns, and deployment. Use when configuring ADME metrics/CORS, choosing tiers, using DDMS/RAFS/Seismic APIs, securing legal tags/ACLs, deploying GCZ on AKS, or handling other Azure Energy Data Services-related development tasks. Not for Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Factory (use azure-data-factory), or Azure Databricks (use azure-databricks).
Expert knowledge for Azure Health Bot development, including best practices, security, configuration, and integrations and coding patterns. Use when configuring Health Bot auth, Teams/web chat, channel integrations, App Insights telemetry, or voice safeguards, and for other Azure Health Bot development tasks. Not for Azure AI Bot Service (use azure-bot-service) or Azure Communication Services (use azure-communication-services).
Expert knowledge for Azure Internet Peering development including troubleshooting. Use when validating Peering Service prefixes, checking prefix registration, verifying routing, or fixing reachability issues, and other Azure Internet Peering related development tasks. Not for Azure ExpressRoute (use azure-expressroute), Azure Virtual Network (use azure-virtual-network), Azure Virtual WAN (use azure-virtual-wan), Azure VPN Gateway (use azure-vpn-gateway).
Azure OpenAI Service and Azure AI Foundry models (2025-2026). PROACTIVELY activate for: (1) deploying Azure OpenAI models (GPT-5, GPT-4.1, GPT-4o), (2) Azure reasoning models (o3, o4-mini), (3) Azure AI Foundry model catalog selection, (4) Azure OpenAI SDK usage (Python, .NET, JavaScript), (5) Sora on Azure for video generation, (6) deployment SKUs (Standard, Provisioned Throughput Units, Global Standard, DataZone), (7) regional availability and quota management, (8) content filters and safety policies, (9) on-your-data scenarios with retrieval, (10) embedding models and vector search. Provides: model selection matrix, SKU/quota guidance, SDK setup recipes, content-filter configuration, and on-your-data patterns.
Expert knowledge for Azure Red Hat OpenShift development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when deploying ARO clusters, configuring HCP networking, integrating ACR/Key Vault, securing Entra/OIDC access, or handling other Azure Red Hat OpenShift-related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Container Apps (use azure-container-apps), or Azure Virtual Machines (use azure-virtual-machines).
ADF + Databricks 2025 integration patterns. PROACTIVELY activate for: (1) Databricks Job activity in ADF, (2) DatabricksJob (preview) vs DatabricksNotebook activity, (3) ServiceNow V2 connector, (4) ADF managed identity authentication for Databricks, (5) Databricks serverless linked services, (6) Snowflake V2 connector, (7) Databricks job parameters and outputs, (8) MFA enforcement and authentication updates, (9) Unity Catalog integration, (10) Delta Live Tables orchestration from ADF. Provides: Databricks linked service templates (PAT, MSI, serverless), DatabricksJob activity examples, parameter passing recipes, and authentication migration guidance.
Official Expo skills for building, deploying, upgrading, and debugging Expo apps, from the Expo team. Covers Expo Router, native UI and animation, data fetching, native modules, SDK upgrades, and Expo Application Services (EAS): builds and store submission, hosting, workflows, and OTA updates.
Operational security guidance for deployment, monitoring, and maintenance. Use this skill when you need to understand which middlewares to apply, configure environment variables, monitor security post-deployment, or follow the pre-deployment checklist. Triggers include "security operations", "deployment security", "security monitoring", "environment variables", "when to use middleware", "pre-deployment", "security checklist", "production security".
Show the user the agent's work on a research project and save iterations on the user's behalf. Scaffold rendering and deploy infrastructure (Quarto today, GitHub Pages, dev container), show the rendered output, save iterations. Doesn't handle research execution (use `asta-flows`).
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.