explore-data | Discover what data exists: catalogs, schemas, tables, columns, semantic models |
query-lakehouse | Answer questions that require querying lakehouse data using SQL |
analyze-funnels | Build or analyze a step-by-step conversion flow (drop-off between ordered events) |
analyze-web-traffic | Web analytics: pageviews, sessions, traffic sources, UTM, device, country breakdowns |
analyze-insights | Interpret an existing Insight or visualization the user is looking at |
build-segments | Define or compare user cohorts by properties (not step-based) |
forecast-timeseries | Project future metric values or detect whether a change is within normal range |
instrument-product-analytics | Add or change event tracking, identification, traits, consent, session reset, or identity aliasing in an application |
query-product-events | Query or analyze existing product events, properties, identities, traits, or instrumentation delivery |
create-insights | Create a new Insight that will be saved and visible to users |
create-discoveries | Create a discovery from a meaningful finding that should notify users and enter review |
decide-actions | Decide which insight or task type to use, or whether to create / update / skip a discovery |
manage-discoveries | Review, approve, or reject existing discoveries and process user feedback on them |
configure-tasks | Set up a scheduled AI task (anomaly detection, forecast, monitor) that runs on a cron |
use-memory | Search or create agent memories; create organization knowledge only when the user explicitly asks |
evaluate-skills | Review or author agent skills themselves (skill structure, spec, quality) |
understand-platform | Explain Altertable concepts, architecture, or how agents work |