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Apache Airflow agent skills for Claude Code, Codex and other agents.
- skills
- 75
- official
- 10
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- Platform
- Website
- airflow.apache.org
- Official GitHub
- apache
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Apache Airflow skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
Official (10 skills)
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Provides guidance for migrating Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). | google/ | 21k | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). | google/ | 21k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Provides guidance for troubleshooting Apache Airflow DAGs (failed DAG runs and task instances) in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). | google/ | 21k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Tests Amazon MWAA workflow execution end-to-end: trigger a run and monitor it to completion for Provisioned (Python DAG, via Airflow REST API) and Serverless (YAML workflow, via StartWorkflowRun). | aws/ | 2.8k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Upgrades an MWAA environment to a newer Airflow version — within 2.x, within 3.x, or across the 2.x-to-3.x boundary. | aws/ | 2.8k | — | ~7.3k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | A skill your agent uses when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning… | NVIDIA/ | 3.5k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Authors and deploys MWAA workflow artifacts: Python Airflow DAGs for provisioned environments or YAML workflow files for Serverless. | aws/ | 2.8k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. | NVIDIA/ | 3.5k | — | ~3.8k | Automated safety check: Warn | Apache-2.0 | today |
Community
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 11 | Designs ML pipeline infrastructure: experiment tracking with MLflow or Weights & Biases, Kubeflow and Airflow orchestration, Feast feature stores and model validation gates. | Jeffallan/ | 12k | 1 repo | ~1.9k | Automated safety check: Pass | MIT | 4 days ago |
| 12 | Before committing, work out which Whirl examples need a CI run to verify changes still work, then run them after confirming with the user. | godatadriven/ | 205 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 13 | 13.Chart Tests A skill your agent uses when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository. | astronomer/ | 297 | — | ~2.8k | Automated safety check: Pass | Unknown | today |
| 14 | 14.Airflow Queries, manages, and troubleshoots Apache Airflow using the af CLI. | astronomer/ | 450 | 1 repo | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 15 | Guide for migrating Dagster projects to Apache Airflow 3 on Astro. | astronomer/ | 450 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 16 | Create a new Whirl environment in the envs/ directory. An agent skill from godatadriven/whirl. | godatadriven/ | 205 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 17 | Workflow and best practices for writing Apache Airflow DAGs. | astronomer/ | 450 | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | A skill your agent uses when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer airflow-chart repository. | astronomer/ | 297 | — | ~2.2k | Automated safety check: Pass | Unknown | today |
| 19 | Create a new Whirl example project in the examples/ directory. | godatadriven/ | 205 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 20 | Deploys Airflow DAGs and projects. An agent skill from astronomer/agents. | astronomer/ | 450 | 1 repo | ~2.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 21 | World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. | benchflow-ai/ | 1.8k | — | ~5.9k | Automated safety check: Pass | MIT | 2 mo ago |
| 22 | Guides an agent through designing an MLOps pipeline that covers data preparation, training, validation and deployment, with DAG orchestration and reference guides. | wshobson/ | 40k | 12 repos | ~1.8k | Automated safety check: Pass | MIT | 2 days ago |
| 23 | Expert Django Celery guidance for asynchronous task processing. | vintasoftware/ | 150 | — | ~1.2k | Automated safety check: Pass | No licence | 2 mo ago |
| 24 | Bump the Airflow or Python version across all project files. | godatadriven/ | 205 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 25 | 25.Helm Chart A skill your agent uses for Helm chart work - creating charts, modifying existing charts, values design, testing. | astronomer/ | 297 | — | ~6.4k | Automated safety check: Pass | Unknown | today |
| 26 | Patterns for writing production-ready Apache Airflow DAGs: task dependencies, custom operators and sensors, local testing, and rules for what to avoid. | wshobson/ | 40k | 8 repos | ~784 | Automated safety check: Pass | MIT | 2 days ago |
| 27 | 27.Helm Chart A skill your agent uses for Helm chart work - creating charts, modifying existing charts, values design, testing. | astronomer/ | 491 | — | ~6.5k | Automated safety check: Pass | Unknown | today |
| 28 | Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. | alirezarezvani/ | 28k | 3 repos | ~1.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 29 | Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. | davila7/ | 32k | 7 repos | ~2.8k | Automated safety check: Pass | MIT | today |
| 30 | 30.Airflow Hitl Builds human-in-the-loop (HITL) Airflow workflows - approval gates, form input, and human-driven branching. | astronomer/ | 450 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 31 | World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. | davila7/ | 32k | 1 repo | ~1.4k | Automated safety check: Pass | MIT | today |
| 32 | Data pipelines, feature stores, and embedding generation for AI/ML systems. | ancoleman/ | 526 | 1 repo | ~3.5k | Automated safety check: Pass | MIT | 10 mo ago |
| 33 | Annotate Airflow tasks with data lineage using inlets and outlets. | astronomer/ | 450 | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 34 | Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality | RightNow-AI/ | 18k | — | ~847 | Automated safety check: Pass | Apache-2.0 | 3 mo ago |
| 35 | Writes Airflow task logic in Go using the Airflow Go SDK. An agent skill from astronomer/agents. | astronomer/ | 450 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 36 | Strategic guidance for operationalizing machine learning models from experimentation to production. | ancoleman/ | 526 | 1 repo | ~9.2k | Automated safety check: Pass | MIT | 10 mo ago |
| 37 | Writes Airflow task logic in Java, Kotlin, or any JVM language using the Airflow Java SDK. | astronomer/ | 450 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 38 | Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). | ancoleman/ | 526 | — | ~3k | Automated safety check: Pass | MIT | 10 mo ago |
| 39 | Orchestrate AI/ML pipelines for data ingestion, model training, batch inference, and RAG indexing using Prefect, Airflow, or Dagster. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 40 | The language-neutral foundation for Airflow language SDKs — implement task logic in a non-Python language while the DAG stays in Python. | astronomer/ | 450 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 41 | Quick data freshness check. An agent skill from astronomer/agents. | astronomer/ | 450 | — | ~801 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 42 | Configures Airflow to run language SDK tasks (Java, Go, and future native SDKs) — register a coordinator, map a queue to it, ensure the runtime/artifact on workers, and tune coordinator options. | astronomer/ | 450 | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 43 | Create custom OpenLineage extractors for Airflow operators. An agent skill from astronomer/agents. | astronomer/ | 450 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 44 | 44.Dag Factory Authors Apache Airflow DAGs declaratively from dag-factory YAML configs. | astronomer/ | 450 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 45 | Comprehensive DAG failure diagnosis and root-cause analysis with structured investigation and prevention recommendations. | astronomer/ | 450 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 46 | Builds, packs, and deploys compiled Airflow Go SDK bundles so the ExecutableCoordinator can run them. | astronomer/ | 450 | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 47 | Builds and deploys compiled Airflow Java SDK bundles so workers can run them. | astronomer/ | 450 | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 48 | Manage local Airflow environment with Astro CLI (Docker and standalone modes). | astronomer/ | 450 | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
Questions, answered from the data.
What is the best Apache Airflow skill?
Managed Airflow Migrations (official) from google/skills ranks first of the 75 Apache Airflow skills listed here, with the highest score: its repository has 21k GitHub stars, its SKILL.md loads about 3k tokens and it passes the automated safety check with no findings. Next come Managed Airflow Dag Authoring and Managed Airflow Dag Troubleshooting.
Is there an official Apache Airflow skill?
10 of the 75 Apache Airflow skills are official, published by the vendor's own GitHub organization: Managed Airflow Migrations, Managed Airflow Dag Authoring, Managed Airflow Dag Troubleshooting, Physical AI Event Video Generation, Physical AI Image Attribute Augmentation and 5 more.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.