airflow-dag-analyzer
Analyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.
npx skills add a5c-ai/babysitter --skill airflow-dag-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Airflow DAG Analyzer Analyzes, validates, and optimizes Apache Airflow DAGs for reliability and performance. ## Overview This skill examines Apache Airflow DAG definitions to identify performance bottlenecks, reliability issues, and best practice violations. It provides recommendations for task dependency optimization, parallelism configuration, error handling, and resource management. ## Capabilities - **DAG structure analysis and validation** - Parse and validate DAG structure - **Task dependency optimization** - Identify bottlenecks and suggest parallel execution - **Parallelism and concurrency recommendations** - Optimize pool and slot allocation - **SLA and timeout configuration** - Recommend appropriate timeouts and SLAs - **Retry and failure handling patterns** - Validate retry logic and alerting - **Sensor optimization** - Smart sensors, deferrable operators, reschedule mode - **Resource pool allocation** - Optimize pool usage and worker distribution - **DAG scheduling optimization** - Catchup, backfill, and schedule interval tuning - **Cross-DAG dependency detection** - Identify external dependencies and triggers ## Input Schema ```json { "dagCode": { "type": "string", "
- Overview
- Capabilities
- Input Schema
- Output Schema
- Usage Examples
- Basic DAG Analysis
- With Execution History
- Full Analysis with Cluster Config
- Validation Rules
- DAG Definition Rules
- Task Definition Rules
- Sensor Rules
- Security Rules
- Optimization Patterns
What does the airflow-dag-analyzer skill do?
Analyzes, validates, and optimizes Apache Airflow DAGs for reliability, performance, and best practices adherence.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill airflow-dag-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.