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Data engineer
Agent Plugins 1.0.0 compatible
Keep pipelines trustworthy with dbt model review, data quality checks, lineage tracing, safe backfills, and schema change contracts.
Version 1.0.2Updated Oct 20, 2026Source
First time? Install with npm i -g harnesstap
Download as Agent Plugins zipWhat's inside
Skills (6)
backfill-planningPlan and run a historical backfill or reprocessing safely: scoped, batched, resumable, idempotent, and validated, without breaking production tables or blowing the warehouse budget. Use after a logic fix, a new column, a missed load, or a source correction.data-quality-checksAdd data quality checks to a pipeline or table covering freshness, volume, schema, uniqueness, validity, and reconciliation, with clear owners and severities. Use when a table feeds important decisions, after a data incident, or when onboarding a new source.dbt-model-reviewReview a dbt model change for correctness, grain, performance, tests, and downstream impact before merge. Use on PRs that add or modify dbt models, macros, sources, or snapshots. Produces a review comment with blocking issues and suggestions.lineage-tracingTrace where a column, metric, or table comes from and what depends on it, across sources, transformations, and dashboards. Use when a number looks wrong, before changing or deprecating a model, or when asked \"where does this field come from?\". Produces an upstream and downstream lineage map.pipeline-failure-triageTriage a failed, late, or silently wrong data pipeline run: find the failing task, classify the cause, recover the run, and communicate impact to data consumers. Use when an orchestrator alert fires, a freshness check fails, or stakeholders report stale or missing data.schema-change-contractsSet up and enforce data contracts between producers (application teams, source systems) and data consumers so schema changes do not silently break pipelines. Use when a source schema change broke a pipeline, when onboarding a new source, or when a producer plans to change events or tables.
Rules (3)
partitioningPartition and cluster large tables, and filter on partitions.pii-handlingHandle personal data in pipelines with minimization, masking, and access control.sql-styleConsistent, readable SQL for models and queries.
Commands (3)
backfillPlan a backfill for a table and date range, then run it batch by batch after approval.dbt-runBuild selected dbt models and their tests against the dev target.dbt-testRun dbt tests for selected models and explain any failures.
Plugins (4)
agentic-bundle-aas-data-engineering-platform@agentic-awesome-skillscontext7@claude-plugins-officialdrawio-diagramming@claude-orchestrationsuperpowers@claude-plugins-official