Browse AI skills for data pipelines, warehouse modeling, analytics checks, database work, and data quality reviews.
Review a database migration before release, with compatibility, lock and backfill analysis, verification gates, and an honest recovery plan.
davrix1
Updated Jul 14, 2026
Review scRNA-seq quality by sample, document filtering and contamination decisions, and issue a traceable downstream-readiness verdict.
ivrano40
Updated Jul 17, 2026
Review a PostgreSQL schema before merge or release, with traceable findings for integrity, access paths, security, operability, compatibility, and verification.
tanvio
Updated Jul 14, 2026
Explore an unfamiliar dataset without losing track of what the rows mean. Reconcile sources and grain, test quality and patterns, then hand off evidence-linked findings another analyst can rerun.
esvano8
Updated Aug 1, 2026
Design and release reproducible Nextflow pipelines with controlled sample metadata, pinned software and references, test evidence, recovery, and a reviewable handoff.
osvelo1
Updated Jul 31, 2026
Plan and review statistical analyses with traceable estimands, data checks, diagnostics, uncertainty, sensitivity tests, and bounded claims.
lorvex74
Updated Jul 14, 2026
Review an Airflow DAG before production release, with interval semantics, replay safety, failure paths, verification gates, and rollback in one report.
orvane4
Updated Jul 22, 2026
