skills

Routes user queries to the best-fit Altertable skill. Use when unsure which Altertable skill applies to a request.

Instruments applications with Altertable Product Analytics. Use when adding event tracking, identifying users, updating traits, resetting sessions, managing consent, or aliasing identifiers.

Queries and analyzes Altertable product events and identities. Use for event counts, properties, user activity, identity traits, behavioral trends, or validating incoming instrumentation.

Creates and analyzes conversion funnels. Use when analyzing user journeys, drop-off points, onboarding, checkout, or multi-step flows.

Interprets Insight data to identify patterns, anomalies, and trends. Use when analyzing visualizations, extracting findings, or explaining patterns in graphs.

Analyzes web analytics traffic patterns and user behavior. Use when asked about pageviews, sessions, traffic sources, or website user behavior.

Builds segmentation insights with filters, dimensions, and breakdowns. Use when segmenting users, comparing event metrics by properties, building cohorts, or defining audiences.

Configures scheduled AI tasks that analyze Insights and Dashboards. Use for anomaly detection, forecasting, alerts, or recurring automated monitoring.

Creates Altertable discoveries from meaningful findings. Use when analysis finds a change, anomaly, root cause, recommendation, warning, or contextual finding that should notify users and enter review.

Creates, drafts, renders, and saves Altertable insights. Use when generating findings, creating visualizations, or saving and sharing analysis results.

Decision matrices for picking insight types (funnel, retention, semantic, segmentation, SQL), task types, and discovery actions. Use when choosing types or whether to create, update, or skip discoveries.

Evaluates and creates agent skills following best practices. Use when reviewing, writing, or refactoring skills, or asking about skill structure, format, or specification.

Explores Altertable catalogs, schemas, semantic models, tables, and columns. Use when asking about available data, data structure, connections, or sources before querying.

Analyzes time series for trends, anomalies, and forecasts. Use when detecting spikes or drops, predicting future values, or finding unusual patterns over time.

Manages the discovery approval workflow. Use when handling discovery reviews, approval states, user feedback, or discovery lifecycle.

Writes, validates, optimizes, and executes DuckDB SQL against the Altertable lakehouse. Use when analyzing data, aggregating metrics, building reports, or querying catalogs and external connections.

Explains Altertable platform concepts and architecture. Use when asking what Altertable is or how agents, discoveries, memories, insights, and dashboards fit together.

Stores and retrieves agent memories for context persistence. Use when saving findings, recalling past analysis, or searching for relevant context.