airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

1.09x

Quality

61%

Does it follow best practices?

Impact

92%

1.09x

Average score across 3 eval scenarios

Securityby

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/airflow-dag-patterns/SKILL.md

The canonical home for this skill is airflow-dag-patterns in rmyndharis/antigravity-skills

Evaluation results

86%

16%

Customer Enrichment Pipeline

TaskFlow API and modular DAG structure

Criteria

Without this skill

With this skill

@dag decorator

100%

@task decorator

100%

XCom via return values

100%

No heavy logic in DAG file

58%

50%

Uses {{ ds }} macro

100%

No global state

100%

Project structure: dags/__init__.py

100%

Project structure: dags/common/

Tests directory

100%

DagBag import test

100%

DAG integrity test

100%

DAG tags

100%

Daily Transaction Ingestion Pipeline

Production DAG configuration defaults

Criteria

Without this skill

With this skill

retries=3

100%

retry_delay 5 min

100%

exponential backoff

100%

max_retry_delay

100%

email_on_failure True

100%

email_on_retry False

100%

depends_on_past False

100%

catchup=False

100%

max_active_runs=1

100%

DAG tags

100%

No hardcoded dates

100%

on_failure_callback

100%

90%

Vendor Report Processing Pipeline

Sensor configuration and error handling

Criteria

Without this skill

With this skill

mode='reschedule'

100%

Sensor timeout set

100%

poke_interval set

100%

Task failure callback

100%

DAG failure callback

100%

Callback logs context

100%

Cleanup trigger_rule ALL_DONE

100%

Branch join trigger_rule

No depends_on_past

100%

catchup=False

100%

DAG tags

100%

Repository: administrakt0r/AI-Agents-Safe-Coding-Skills
Path: skills/airflow-dag-patterns/SKILL.md
Commit: 7520423

Evaluated: 6 months ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Daily Transaction Ingestion Pipeline Customer Enrichment Pipeline Vendor Report Processing Pipeline

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