airflow-dag-patterns SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

airflow-dag-patterns from francostino/opencode-skills-collection is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add francostino/opencode-skills-collection/airflow-dag-patterns@git:20260707.168343c

Pins git:20260707.168343c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
francostino/opencode-skills-collection
Path
bundled-skills/airflow-dag-patterns/SKILL.md
Versions recorded
3
Latest version
git:20260707.168343c, committed Jul 7, 2026
First version recorded
Mar 18, 2026
Size
1,797 bytes
Repository stars
87
License
MIT

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.

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 DAG Patterns

Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.

## Use this skill when

- Creating data pipeline orchestration with Airflow
- Designing DAG structures and dependencies
- Implementing custom operators and sensors
- Testing Airflow DAGs locally
- Setting up Airflow in production
- Debugging failed DAG runs

## Do not use this skill when

- You only need a simple cron job or shell script
- Airflow is not part of the tooling stack
- The task is unrelated to workflow orchestration

## Instructions

1. Identify data sources, schedules, and dependencies.
2. Design idempotent tasks with clear ownership and retries.
3. Implement DAGs with observability and alerting hooks.
4. Validate in staging and document operational runbooks.

Refer to `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.

## Safety

- Avoid changing production DAG schedules without approval.
- Test backfills and retries carefully to prevent data duplication.

## Resources

- `resources/implementation-playbook.md` for detailed patterns, checklists, and templates.

## Limitations
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add francostino/opencode-skills-collection/airflow-dag-patterns@sha256:94a41e7557ed0038

The line at the top of this page pins the label git:20260707.168343c, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_qnbuujqyvao2uefx.svg)](https://markdownregistry.com/a/art_qnbuujqyvao2uefx)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Mar 18, 2026 and Jul 7, 2026, about one every 55 days.

versioncommittedcommitsizeaudit
git:20260707.168343c latest2026-07-07 168343c 1,797 BA view · diff
git:20260329.2d904882026-03-29 2d90488 1,478 BA view · diff
git:20260318.cf0657a2026-03-18 cf0657a 1,481 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1797 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

GitHub

francostino/opencode-skills-collection · 87 stars · license MIT · pushed 2026-10-18 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_qnbuujqyvao2uefx
GET https://markdownregistry.com/api/v1/resolve?ref=francostino/opencode-skills-collection/airflow-dag-patterns
GET https://markdownregistry.com/api/v1/blob/94a41e7557ed0038de304d942691a6f432f6a29b82dc096e7c1f265b74fc332c

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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