SKILL

airflow-dag-patterns

wshobsonListed

Primary machine endpoint

https://github.com/wshobson/agents/tree/a30778f8c4e6b0a87567941b7cca4f534bf642b6/plugins/data-engineering/skills/airflow-dag-patterns

Use with an agent

SUMMARY

What it does

This Agent Skill provides guidance and patterns for building production Apache Airflow DAGs. It covers DAG design principles, task dependencies, operators, sensors, testing, and deployment strategies. The skill is intended for use when creating data pipelines, orchestrating workflows, or scheduling batch jobs. Evidence is based on the SKILL.md source file, which includes a quick start example and best practices.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

software.developmentweight 80 · confidence 70data.pipelineweight 70 · confidence 60workflow.orchestrationweight 60 · confidence 50

MACHINE-READABLE ENDPOINTS

How agents read it

REST JSONhttps://aiworkshub.io/api/v1/resources/RES_40AAF40055E3Canonical source

https://raw.githubusercontent.com/wshobson/agents/a30778f8c4e6b0a87567941b7cca4f534bf642b6/plugins/data-engineering/skills/airflow-dag-patterns/SKILL.md

ACCESS

Access requirements

Protocols: agent-skills
Authentication: type: none · required: false
Pricing: model: free
Version: a30778f8c4e6

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.