kursku/airflow-dag-patterns
packs/global-skillshare-import/wave-001/airflow-dag-patterns/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add kursku/skills airflow-dag-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 6, 2026, 2:07 PM125.8s2 files scanned
SKILL.md
- name:
- airflow-dag-patterns
- description:
- 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.
- risk:
- critical
- source:
- community
- date_added:
- 2026-02-27
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
- Identify data sources, schedules, and dependencies.
- Design idempotent tasks with clear ownership and retries.
- Implement DAGs with observability and alerting hooks.
- 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.mdfor detailed patterns, checklists, and templates.
Related Skills
kursku/error-diagnostics-error-analysis
development
VerifiedTrustedCommunity
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions.
3SKILL.mdUpdated Apr 6, 2026
kursku/error-detective
development
VerifiedTrustedCommunity
Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes.
3SKILL.mdUpdated Apr 6, 2026
kursku/error-debugging-multi-agent-review
development
VerifiedTrustedCommunity
Use when working with error debugging multi agent review
3SKILL.mdUpdated Apr 6, 2026
kursku/error-debugging-error-trace
development
VerifiedTrustedCommunity
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured loggi...
3SKILL.mdUpdated Apr 6, 2026