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.

0.95x

Quality

78%

Does it follow best practices?

Impact

90%

0.95x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

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npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/data-engineering/skills/airflow-dag-patterns/SKILL.md

Evaluation results

73%

-17%

Daily Sales Report Pipeline

Production DAG default_args and retry configuration

Criteria

Without context

With context

retries=3

100%

retry_delay 5 min

100%

Exponential backoff

100%

max_retry_delay 1h

100%

email_on_failure True

email_on_retry False

100%

catchup=False

100%

max_active_runs=1

100%

No depends_on_past

100%

Task failure callback

100%

DAG failure callback

100%

No hardcoded date

80%

70%

schedule= syntax

100%

Inventory Reconciliation Pipeline with Conditional Processing

Sensor patterns, branching, and trigger rules

Criteria

Without context

With context

TaskFlow @dag decorator

100%

TaskFlow @task decorator

100%

@task.sensor used

100%

Sensor mode=reschedule

100%

Sensor timeout set

100%

Sensor poke_interval set

100%

BranchPythonOperator used

87%

100%

Join trigger rule

100%

Cleanup trigger rule

100%

PokeReturnValue returned

100%

98%

Multi-Tenant Report Pipeline with Tests

DAG testing, project structure, and dynamic generation

Criteria

Without context

With context

Factory function

100%

globals() registration

100%

Config-driven clients

100%

Logic in common module

100%

DAG file stays thin

100%

DagBag fixture

100%

include_examples=False

100%

Import error test

100%

Cycle detection test

71%

85%

Structural assertion

100%

Repository: Dicklesworthstone/pi_agent_rust
Commit: 47823e3

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Daily Sales Report Pipeline Inventory Reconciliation Pipeline with Conditional Processing Multi-Tenant Report Pipeline with Tests

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