Alvera Ai

alvera-ai

Outcome-driven Alvera platform provisioning via @alvera-ai/platform-sdk.

How it works

Instead of asking "what resource do you want to create?", this plugin asks "what are you trying to achieve?" and derives the full dependency chain automatically.

Example: "I want to send review SMS after appointments" → the skill works backwards: workflow needs an SMS tool, which needs a data source, which needs a datalake. It checks what exists, provisions what's missing in dependency order, and tests along the way.

Handles everything in one skill

• Datalakes, data sources, tools, AI agents, connected apps
• Generic tables with compliance gate and column profiling
• Data ingestion with anti-pattern detection and Liquid template generation
• Agentic workflows with production templates, dry-run testing, and promotion
• PostgREST explorer scaffolding for data verification
• Action status updaters, interop contracts, data activation clients

Install

/plugin marketplace add alvera-ai/alvera-agent
/plugin install alvera-ai@alvera-agent

Then invoke:

/alvera-ai:guided

What this is not

• Not a tenant or datalake provisioner — those are admin operations.
• Not a runtime tool — no dataset search, workflow execution monitoring, or data ingestion outside of setup context.

License

MIT