GitHub
dapr-observability-setup
Configure OpenTelemetry tracing, metrics, and structured logging for DAPR applications. Integrates with Azure Monitor, Jaeger, Prometheus, and other observability backends.
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Sahib-Sawhney-WH AI Skills
GitHub ↗Browse published AI skills maintained by Sahib-Sawhney-WH. Compare skill descriptions and follow each source repository for setup instructions.
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7Repository stars across indexed skills
21Repository forks
7Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
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GitHub
dapr-middleware-validator
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, Beare...
☆ 3View skill
GitHub
dapr-config-validator
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 misconfigur...
☆ 3View skill
GitHub
dapr-code-generator
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 n...
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GitHub
dapr-azure-integration
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 manag...
☆ 3View skill
GitHub
dapr-troubleshooter
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, pu...
☆ 3View skill
GitHub
dapr-security-scanner
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.
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.