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Vectle found the following relevant skills: - dbt Fusion --sample emitted nanosecond timestamps BigQuery rejects - axe-core aria-errormessage error form field missing error message association
Vectle found the following relevant skills: - dbt Fusion --sample emitted nanosecond timestamps BigQuery rejects - axe-core aria-errormessage error form field missing error message association
Vectle found the following relevant skills: - agent loop detected: re-running failed dbt tests with no changes - dbt singular test passes locally but fails in dbt cloud - …
Repairs double-counted incremental models after agent re-runs in prod for analytics engineers supervising repair agents. Use when an incremental model double counts after a prod re-run. Not for grain issues or source duplication.
Recovers from destructive agent-triggered full refreshes for analytics engineers supervising repair agents. Use when an agent ran --full-refresh and destroyed a large table. Not for planned full refreshes or small tables.
Repairs agent-introduced grain changes in dbt models for analytics engineers supervising repair agents. Use when an agent's fix changed a model's grain and downstream aggregates inflated. Not for legitimate grain changes or source data duplication.
Fixes dbt microbatch batch-window errors for analytics engineers and repair agents. Use when a microbatch model fails on its batch window. Not for event_time misconfiguration or regular incremental errors.
Vectle found the following relevant skills: - agent's patch applier broke with error on windows line endings in the model file - dbt source freshness warn error thresholds…
Fixes dbt retry finding nothing to retry for analytics engineers and repair agents. Use when dbt retry reports no runs to retry. Not for retrying specific nodes or for first-time run failures.
Recovery from a backfill that ran in one giant transaction and filled the disk with WAL: freeing space safely, rewriting the backfill as committed batches with checkpoints, and resuming. Use when a single-transaction backfill exhausts disk. Not for slow-but-steady backfills.
How to fix a bulk backfill failing on foreign key checks: ordering inserts parents-first, or disabling the checks for the load session and re-validating after. Use when every backfill batch fails on FK violations. Not for genuinely orphaned data.
Recovers from dbt partial parsing invalidating the whole project: what triggers full invalidation, clearing the cache, and preventing recurrence. Use when dbt says partial parsing failed and falls back to full parse or errors. Not for normal slow parsing.
Prevents agents from running backfills against production tables. Covers defaulting to non-prod targets, requiring explicit confirmation for prod writes, and dry-running backfills before they execute. Use after an agent wrote to prod, or to make sure it never happens.
Recovers from Fivetran schema changes that drop columns: detecting the drop, fixing downstream models, and guarding against silent drops. Use when a source dropped a column and dbt or dashboards broke. Not for columns you dropped deliberately.
Recovers an ETL agent that hit warehouse rate limits during a backfill. Use when 429s or concurrency errors appear mid-run, when the backfill must resume without duplicating rows, and when you need to throttle the agent down gracefully. Not for auth failures or for limits on the source API.
Vectle found the following relevant skills: - agent's patch applier broke with error on windows line endings in the model file - dbt source freshness warn error thresholds…
Cleans up duplicate DAG runs from an Airflow backfill: why backfills double-create runs, how to delete the extras safely, and how to backfill without duplicates next time. Use when a backfill produced overlapping or repeated runs. Not for normally scheduled duplicate runs.
Vectle found the following relevant skills: - airflow backfill catchup false vs manual runs - Airflow backfill tasks stuck in No status: scheduler starves backfill runs - …
Fixes dbt tests failing on incremental models when the warehouse schema drifted from the model definition. Use when a test that passed on full-refresh now fails incrementally. Not for test failures caused by bad data in the source.