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Karyam

Databases

Database skills enable AI Agents and AI Flows to interact directly with relational and NoSQL databases. They can execute queries, retrieve records, update data, and automate database-driven workflows while integrating seamlessly with other Karyam skills.

Available Skills

Section titled “Available Skills”

PostgreSQL

Section titled “PostgreSQL”

Connect to PostgreSQL databases to execute SQL queries and manage relational data.

Common use cases

  • Execute SQL queries
  • Generate reports
  • Read and update application data
  • Automate business workflows

Redis

Section titled “Redis”

Connect to Redis to work with in-memory data structures for caching, messaging, and fast data access.

Common use cases

  • Read and update cached data
  • Manage key-value pairs
  • Store session information
  • Support high-performance workflows

Elasticsearch

Section titled “Elasticsearch”

Connect to Elasticsearch to search, filter, and analyze indexed data.

Common use cases

  • Perform full-text searches
  • Analyze logs
  • Search large datasets
  • Build search-driven applications

Cassandra

Section titled “Cassandra”

Connect to Apache Cassandra to manage highly scalable distributed data.

Common use cases

  • Query distributed datasets
  • Store large volumes of data
  • Power high-availability applications
  • Automate data operations

ClickHouse

Section titled “ClickHouse”

Connect to ClickHouse for high-performance analytical queries on large datasets.

Common use cases

  • Real-time analytics
  • Business intelligence
  • Operational dashboards
  • Large-scale reporting

MongoDB

Section titled “MongoDB”

Connect to MongoDB to read, write, and manage document-oriented data.

Common use cases

  • Query collections
  • Insert and update documents
  • Manage application data
  • Build document-based workflows

Oracle

Section titled “Oracle”

Connect to Oracle Database to execute SQL queries and manage enterprise data.

Common use cases

  • Query enterprise databases
  • Generate operational reports
  • Automate business processes
  • Integrate with existing enterprise systems

Typical Workflows

Section titled “Typical Workflows”

Database skills can be combined with other built-in skills to automate data-driven business processes.

Examples include:

  • Query PostgreSQL and email a daily sales report.
  • Retrieve customer records from MongoDB and generate personalized responses.
  • Search application logs in Elasticsearch and notify the operations team of critical errors.
  • Analyze large datasets in ClickHouse and publish insights to Google Chat.
  • Read cached values from Redis before executing business logic.
  • Combine database queries with AI-powered analysis to generate summaries and recommendations.