airflow-dag-generator

Airflow Dag Generator - Auto-activating skill for Data Pipelines. Triggers on: airflow dag generator, airflow dag generator Part of the Data Pipelines skill category.

0.96x

Quality

Does it follow best practices?

Impact

94%

0.96x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./planned-skills/generated/11-data-pipelines/airflow-dag-generator/SKILL.md

Evaluation results

98%

-2%

Daily Sales Data Pipeline

Production-ready ETL DAG

Criteria

Without context

With context

default_args defined

100%

75%

Retry configuration

100%

Scheduled interval set

100%

No top-level side-effects

100%

Airflow connections used

100%

Task dependency chain

100%

Appropriate operators

100%

catchup disabled or explicit

100%

Meaningful task IDs

100%

README produced

100%

Step-by-step documented

100%

94%

Multi-Stage Data Enrichment Workflow

Workflow orchestration with task dependencies

Criteria

Without context

With context

Three distinct tasks

100%

Sequential dependencies

100%

default_args with retries

100%

No top-level side-effects

100%

Descriptive task IDs

100%

DAG-level docstring

100%

Failure propagation described

100%

Engineer observability explained

100%

Weekly schedule

100%

catchup set explicitly

100%

Standards validation note

92%

-7%

Event-Driven Clickstream Processing Pipeline

Streaming and batch data pipeline patterns

Criteria

Without context

With context

Databricks operator used

100%

Four-hour schedule

100%

Connection IDs for credentials

90%

80%

No top-level API calls

100%

40%

Retry and delay configured

100%

Task dependency: Spark before model refresh

100%

PySpark stub structure

100%

Step-by-step walkthrough

100%

Schedule justification

100%

Spark-Airflow integration explained

100%

catchup explicit

100%

Repository: jeremylongshore/claude-code-plugins-plus-skills
Commit: 3e83543

Evaluated: 27 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Daily Sales Data Pipeline Multi-Stage Data Enrichment Workflow Event-Driven Clickstream Processing Pipeline

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