Processes large-scale data with Apache Spark using DataFrames, RDDs, and Spark SQL. Use for big data ETL and analytics.
EnglishProcesses real-time data streams with Apache Kafka Streams. Use for real-time event processing.
EnglishDeploys applications to Kubernetes using Helm charts and values overrides. Use for managing releases in K8s.
EnglishModels graph data with Neo4j and Cypher query language for connected data and relationship-rich domains.
EnglishIncludes Apache Spark, Kafka Streams, Kubernetes Helm Deploy, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Apache Spark
Processes large-scale data with Apache Spark using DataFrames, RDDs, and Spark SQL. Use for big data ETL and analytics.
Kafka Streams
Processes real-time data streams with Apache Kafka Streams. Use for real-time event processing.
Kubernetes Helm Deploy
Deploys applications to Kubernetes using Helm charts and values overrides. Use for managing releases in K8s.
Neo4j
Models graph data with Neo4j and Cypher query language for connected data and relationship-rich domains.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Apache Spark skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.