airflow SKILL.md skillA
airflow from alivirgo/major-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add alivirgo/major-ai-skills/airflow@git:20260910.c429a71Pins git:20260910.c429a71 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- alivirgo/major-ai-skills
- Path
skills/airflow/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260910.c429a71, committed Sep 10, 2026
- First version recorded
- Aug 26, 2026
- Size
- 3,315 bytes
- Repository stars
- 2
- License
- MIT
Build and troubleshoot Apache Airflow DAGs, operators, sensors, schedules, and retry behavior for data pipelines.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Apache Airflow AI Skill Guide
## Overview & Engine Architecture
Airflow schedules DAGs of tasks executed by workers; the scheduler parses DAG files, the metadata DB stores run state, and executors (Local/Celery/Kubernetes) run task instances. Agents write idempotent tasks, set explicit retries/timeouts, avoid top-level heavy I/O in DAG files, and pass data via XCom sparingly (or external storage).
```
DAG file -> scheduler -> executor/workers
|
metadata DB (runs, XCom)
|
task logs / sensors
```
## When to use this skill
- Time-based or data-aware batch pipelines
- Orchestrating dbt, Spark, warehouse SQL, ML batch jobs
- Backfills with clear logical dates
## Operational directives
1. Keep DAG top-level code fast (imports + structure only).
2. Tasks must be idempotent for a given `data_interval` / logical date.
3. Set `retries`, `retry_delay`, and `execution_timeout` intentionally.
4. Prefer pushing large payloads to object storage over big XComs.
5. Never commit connection passwords; use Airflow Connections / secrets backend.
## Minimal DAG
```python
from datetime import datetime, timedelta
from airflow import DAG
…Read the whole file at its exact version.
How to install
mdr add alivirgo/major-ai-skills/airflow@sha256:9353d8647334ddacThe line at the top of this page pins the label git:20260910.c429a71, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_2k3j2tr5wip6txvc)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Aug 26, 2026 and Sep 10, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260910.c429a71 latest | 2026-09-10 | c429a71 | 3,315 B | A | view · diff |
| git:20260826.1e28b95 | 2026-08-26 | 1e28b95 | 3,315 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3315 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
alivirgo/major-ai-skills · 2 stars · license MIT · pushed 2026-10-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_2k3j2tr5wip6txvc GET https://markdownregistry.com/api/v1/resolve?ref=alivirgo/major-ai-skills/airflow GET https://markdownregistry.com/api/v1/blob/9353d8647334ddac0e10e665e8b16490ac3f795b70e71c67975d2d1dbc90edcd
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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