dapr

Create and scaffold DAPR AI agents with the dapr-agents framework

Generate CI/CD pipelines for DAPR applications (GitHub Actions, Azure DevOps)

Generate DAPR component YAML files for state stores, pub/sub, bindings, and secrets across Azure, AWS, and GCP

Deploy DAPR application to Azure Container Apps or AKS with automatic configuration

Initialize a new DAPR project with Python SDK, components, and Azure-ready configuration

View and filter DAPR application and sidecar logs for debugging

Generate DAPR HTTP middleware components for API security and request processing.

Initialize a multi-service DAPR project with shared configuration

Run a DAPR application locally with sidecar injection and component loading

Scan DAPR project for security vulnerabilities, plain-text secrets, missing ACLs, and configuration issues

Check DAPR runtime status, component health, and Azure deployment state

Run DAPR-aware tests with mocked clients, Testcontainers integration, or real DAPR sidecar

Scaffold a new DAPR workflow with activities, error handling, and client code

Expert in building AI agents with the DAPR Agents framework. Specializes in agent architecture, tool integration, memory management, MCP support, and multi-agent orchestration. Use PROACTIVELY when building LLM-powered agents, implementing agentic patterns, or integrating AI frameworks like CrewAI or OpenAI Agents.

Azure deployment specialist for DAPR applications. Deploys to Azure Container Apps and AKS with DAPR integration, configures managed identities, sets up Azure components (Key Vault, Cosmos DB, Service Bus), and manages infrastructure. Use PROACTIVELY for any Azure deployment or configuration tasks.

- **Name**: cloud-deployer

DAPR component configuration specialist. Creates and validates component YAML files for state stores, pub/sub, bindings, secrets, and actors. Expert in Azure component configuration and best practices. Use PROACTIVELY when setting up DAPR components or troubleshooting configuration issues.

DAPR distributed systems architect. Designs microservices architectures using DAPR building blocks, selects appropriate components, and defines service boundaries. Use PROACTIVELY when designing new systems, planning migrations, or making architectural decisions about DAPR applications.

DAPR runtime debugging specialist. Diagnoses service invocation failures, state management issues, pub/sub problems, sidecar errors, and component misconfigurations. Use PROACTIVELY when DAPR applications fail, throw errors, or behave unexpectedly.

DAPR Python microservices development expert. Specializes in ALL 12 DAPR building blocks including service invocation, state management, pub/sub, bindings, secrets, actors, workflows, configuration, distributed locks, cryptography, jobs, and conversation (LLM). Use PROACTIVELY when writing service code, implementing DAPR features, or integrating services.

- **Name**: middleware-expert

Expert in multi-service DAPR architectures, cross-service debugging, service mesh configuration, and API gateway patterns. Use PROACTIVELY when designing distributed systems, debugging cross-service issues, or implementing multi-app DAPR projects.

Expert in developing custom DAPR pluggable components using gRPC protocol.

DAPR workflow orchestration expert. Designs and implements durable workflows using DAPR workflow SDK, including saga patterns, task chaining, fan-out/fan-in, human approval flows, and long-running processes. Use PROACTIVELY when creating workflows or orchestrating multi-step processes.

- **Name**: agent-builder

Configure Azure services as DAPR components with best practices. Supports Azure Cosmos DB, Service Bus, Key Vault, Blob Storage, Event Grid, and Container Apps. Automatically generates component YAML with managed identity support. Use when integrating Azure services or deploying to Azure.

Generate Python boilerplate code for DAPR microservices, workflows, and actors. Creates properly structured services with DAPR SDK integration, health endpoints, logging, and best practices. Use when creating new services, adding DAPR features, or scaffolding projects.

Automatically validate DAPR configuration files (dapr.yaml, component YAML files) when they are created or modified. Checks for schema compliance, missing required fields, invalid values, and common misconfigurations. Use when validating DAPR configs, reviewing component setup, or before deployment.

Use this skill to diagnose and troubleshoot DAPR errors. When encountering DAPR error codes, use this reference to understand the cause and apply the appropriate fix.

Automatically validate DAPR HTTP middleware configuration files. Checks for correct middleware types, proper secret references, pipeline ordering, and security best practices. Use when configuring OAuth2, Bearer tokens, OPA policies, rate limiting, or other middleware.

Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.

Scans DAPR projects for security issues including plain-text secrets, missing ACLs, insecure configurations, and security best practice violations. Automatically triggers on component file modifications.

Proactively detect and diagnose DAPR runtime issues based on error patterns, log analysis, and common misconfigurations. Provides immediate solutions for service invocation failures, state management issues, pub/sub problems, and deployment errors. Use when encountering DAPR errors or unexpected behavior.

18 hooks across 3 events