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eventhub-analyze-databricks-streaming vs team-status-update

eventhub-analyze-databricks-streaming and team-status-update are both cloud and devops skills. team-status-update scores higher (85 vs 26 out of 100). team-status-update has more GitHub stars (5.6k), and team-status-update was updated more recently (4 days ago). The table compares them side by side.

eventhub-analyze-databricks-streamingteam-status-update
Score26 / 10085 / 100
What it doesAnalyze Azure Databricks or Spark Structured Streaming integrations with Azure Event Hubs, including Kafka-compatible endpoints, offsets, checkpoints, partition parallelism, lag, throughput, and downstream processing. Use for Databricks/Spark streaming pipeline issues.Drafts concise team status updates with progress, plans, and blockers.
PublisherCommunity: javakishore-veletiCommunity: Azure
GradesMaintenance A, Licence A, Quality CMaintenance A, Licence A, Quality A
npm downloads a weekNot on npmNot on npm
RunsSkillSkill
Works withClaude Code, Claude appsClaude Code, Claude apps
GitHub stars05,621
Last commit24 Sept 202620 Oct 2026
LicenceApache-2.0MIT
Listed since19 Oct 202619 Oct 2026
Install eventhub-analyze-databricks-streamingInstall team-status-update

Questions

Is eventhub-analyze-databricks-streaming or team-status-update more popular?

team-status-update has more GitHub stars: 5,621.

Can I use eventhub-analyze-databricks-streaming and team-status-update together?

Yes. AI assistants can load several skills at once. Install both and the assistant picks the right one for each task.