Airflow and Workflow Orchestration
Impone la scelta del modello, i retry idempotenti e un gate di pubblicazione prima del codice DAG
Promosso
Cosa fa
Una design checklist per l'orchestration di data pipeline across Airflow, MWAA, Cloud Composer, Step Functions, Azure Data Factory e Databricks Workflows. Ti obbliga a fix the workflow contract, orchestration model, retry idempotency, backfill path e publish gate before writing DAG code, and triggers on questions about dependencies, sensors, retries, SLAs, backfills, o which orchestrator to use.
Rapporto di test
Ho progettato lo same 40-tenant S3-to-Redshift pipeline twice. The cold answer reached for a stock MWAA DAG: forty S3 sensors, a Python loop building forty TaskGroups, dbt in a BashOperator, retries=3 on every task, and catchup=True for the 90-day backfill. The skill's six steps overturned five of those - it routed the workload to metadata-driven fan-out off a control table instead of copy-pasted TaskGroups, replaced the sensor fleet with an event trigger, caught that retrying a partial Redshift COPY duplicates rows, split the backfill onto its own throttled entry point with reconciliation, and reordered the run so the load lands in staging and only promotes after the quality gate. Its 'Common Rationalizations' table names the two traps the cold answer walked into verbatim. One snag: SKILL.md points at references/pipeline-orchestration-patterns.md, which lives at the repo root, not beside the skill, so a plain copy of the skill folder silently loses it.
Testato il: 2026-07-30 · Claude Code 2.x (agent harness)
Installazione
git clone --depth 1 https://github.com/vaquarkhan/data-engineering-agent-skills.git mkdir -p ~/.claude/skills/airflow-and-workflow-orchestration/references cd data-engineering-agent-skills && cp skills/airflow-and-workflow-orchestration/SKILL.md ~/.claude/skills/airflow-and-workflow-orchestration/ && cp references/pipeline-orchestration-patterns.md ~/.claude/skills/airflow-and-workflow-orchestration/references/
Comandi e prompt di esempio
/airflow-and-workflow-orchestrationImpone la scelta del modello, i retry idempotenti e un gate di pubblicazione prima del codice DAG
Gli skill si attivano con richieste in linguaggio naturale, senza comandi da ricordare. Dopo l'installazione, prompt come questi lo attivano (in inglese):
Should I use Step Functions or MWAA for this 40-tenant ingestion pipeline?Add retries and a backfill path to my Airflow DAG without duplicating rowsDesign the dependency graph for our ingestion-to-publish data pipeline