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apache-airflow-dags

Official

Produce safe, contract-driven Airflow DAGs.

Software Engineering#idempotency#pipeline architecture#data contracts#apache airflow#taskflow api#dag authoring#version safety
AuthorCogni-AI-OU
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you author Apache Airflow Dags without brittle, version-specific code generation mistakes by enforcing a skeleton-first workflow and explicit data contracts.

Core Features & Use Cases

  • Skeleton strategy for maintainability: Draft a natural-language plan, generate an operator/DAG skeleton with placeholders, then iteratively replace placeholders with TaskFlow business logic.
  • Contract-driven DAG design: Define explicit input/output schemas and idempotency expectations (e.g., MERGE/UPSERT) to prevent hallucinated or ambiguous transformations.
  • Airflow version & execution-boundary guardrails: Force correct use of TaskFlow API patterns and respect execution boundaries (scheduler never runs user code; workers use the Execution API).

Quick Start

Ask for an Airflow Dag spec that includes the target Airflow version, executor type, schedule, and a precise data contract, and the Dag should be produced using the skeleton strategy and TaskFlow decorators.

Dependency Matrix

Required Modules

None required

Components

references

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Please help me install this Skill:
Name: apache-airflow-dags
Download link: https://github.com/Cogni-AI-OU/cogni-ai-agent-skills/archive/main.zip#apache-airflow-dags

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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