Data & Analytics

"Operate the ai-data-science-team package for AI-assisted data

"Operate Agriculture_KnowledgeGraph crawler and Wikidata/weather

"Install, import, optional dependency, backend-selection, and

"Routes AdelaiDet config selection, training, evaluation,

"Guides legacy-compatible AdelaiDet installation,

"Routes AdelaiDet users through legacy-compatible setup, model

"Routes VINN feature caching and non-interactive k-selection

"Routes simulated ALOHA episode generation, replay, visualization,

"Routes ACT, CNNMLP, Diffusion Policy, and latent-model training or

"Select, configure, debug, and adapt Acme TensorFlow/Sonnet agents,

"Routes 3DDFA_V2 face-alignment setup, still-image demos, video

Use when performing data quality assessment — conducts a systematic assessment of data quality across key dimensions including completeness, accuracy, consistency, timeliness, uniqueness, and validity. Identifies data quality issues, quantifies their business impact, and produces a remediation plan with automated quality monitoring.

Use when performing data catalog setup — guides the setup and implementation of a data catalog to enable data discovery, documentation, lineage tracking, and governance. Covers tool selection, metadata extraction, automated cataloging, ownership assignment, and adoption strategies for driving self-service data access.

Use when performing cascading failure response — response playbook for cascading and correlated failures across multiple services. Covers identification of the originating failure, blast radius mapping, circuit breaker activation, load shedding strategies, service isolation, dependency graph analysis, and coordinated multi-team recovery procedures.

Use when performing alert fatigue reduction — analyzes alerting configurations to identify noise, redundancy, and low-value alerts that contribute to on-call fatigue. This template walks teams through auditing their alert rules, measuring signal-to-noise ratios, and implementing changes to ensure every page is actionable and meaningful.

Use when working with Axiom — axiom observability platform with dataset management, APL (Axiom Processing Language) queries, monitors, dashboards, and virtual fields. Covers log and event ingestion analysis, dataset statistics, alerting rules, annotation management, and data retention. Use when querying datasets with APL, managing monitors, analyzing ingestion volume, or reviewing dashboards via Axiom API.

Use when working with Zoom — zoom meeting and webinar management covering scheduled meetings, recordings, users, and usage analytics. Use when auditing Zoom usage, managing meetings, retrieving recordings, or analyzing meeting participation patterns across a Zoom account.

Use when working with Turso — turso edge database management via the turso CLI. Covers databases, groups, locations, replicas, tokens, and usage statistics. Use when managing Turso/libSQL databases or reviewing edge replication.

Use when working with Superset — apache Superset BI platform management. Covers chart and dashboard management, dataset analysis, query history review, database connections, saved query management, and alert/report scheduling. Use when analyzing dashboards, investigating query performance, managing datasets, or auditing Superset usage.

Use when working with Smartsheet — smartsheet workspace management covering sheets, reports, dashboards, rows, and collaboration analytics. Use when auditing Smartsheet usage, managing sheets and rows, analyzing project timelines, or reviewing workspace health across a Smartsheet account.

Use when working with Preset Io — preset.io (managed Apache Superset) management — monitor workspaces, dashboards, charts, datasets, and database connections. Use when reviewing dashboard health, inspecting query performance, auditing access controls, or checking data freshness.

Use when working with Power Bi — power BI service management — monitor workspaces, datasets, reports, refresh schedules, and capacity utilization. Use when inspecting dashboard health, debugging refresh failures, auditing workspace permissions, or reviewing dataset configurations.

Use when working with Mapbox — mapbox platform management including map styles, tilesets, datasets, tokens, usage statistics, and geocoding. Covers API usage monitoring, tileset processing status, token permission auditing, and rate limit tracking across Maps, Navigation, and Search APIs.

Use when working with Lightdash — lightdash BI management — monitor projects, dashboards, saved charts, spaces, and dbt model exploration. Use when reviewing dashboard health, inspecting chart queries, auditing project configuration, or checking scheduler status.