Airflow and Workflow Orchestration
Erzwingt Modellauswahl, idempotente Wiederholungen und ein Veröffentlichungs-Gate vor dem DAG-Code
Getestet · Funktioniert
Was es kann
Eine design checklist für data pipeline orchestration across Airflow, MWAA, Cloud Composer, Step Functions, Azure Data Factory und Databricks Workflows. Sie lässt Sie fix the workflow contract, orchestration model, retry idempotency, backfill path and publish gate before writing DAG code, and triggers on questions about dependencies, sensors, retries, SLAs, backfills, or which orchestrator to use.
Testbericht
Designed the same 40-tenant S3-to-Redshift pipeline twice. Die 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. Die 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.
Getestet am: 2026-07-30 · Claude Code 2.x (agent harness)
Installation
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/
Befehle & Beispiel-Prompts
/airflow-and-workflow-orchestrationErzwingt Modellauswahl, idempotente Wiederholungen und ein Veröffentlichungs-Gate vor dem DAG-Code
Skills reagieren auf normale Anfragen — keine Slash-Befehle nötig. Nach der Installation aktivieren Prompts wie diese den Skill (auf Englisch):
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