Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a…
Use Datris as the data platform for this project. Load this skill whenever the work involves getting data in from a file, an API, a website, a database or a document set; validating, transforming or landing data in a database, warehouse, object store or vector store; building a RAG or semantic-search index; scheduling…
Agentic data quality validation across warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres) with LLM diagnosis, root cause analysis, and audit trail.
After producing or editing any data analysis artifact (report, Excel file, summary table), write an andon verification spec and run it. Use whenever numbers are derived from data and are about to be presented as results.
Use this skill when a source schema change has broken, or is about to break, a downstream transformation and the user wants a fix they can merge — not a summary. Triggers on: "a column was renamed, fix the dbt model", "this field is gone downstream", "schema drift", "our model still selects the old column", "generate…
Use this skill when the user runs open source DataHub (self-hosted, not Acryl Cloud) and wants to write quality signals, not just read them: raise or resolve incidents on a dataset, or register external assertions with pass/fail results so they appear in the Validations tab. Triggers on: "raise incident on OSS"…
Deploy Operator ETL to GCP — Terraform, Docker, Cloud Build, Cloud Run, BigQuery. Use when lifting from local DuckDB MVP to staging/production infrastructure.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: