Implement deferrable human-in-the-loop operators in Airflow 3.1+ DAGs.
npx skills add https://github.com/astronomer/agents --skill airflow-hitl
Please help me install this Agent Skill. Skill: airflow-hitl Source: https://github.com/astronomer/agents/tree/main/skills/airflow-hitl Command: npx skills add https://github.com/astronomer/agents --skill airflow-hitl
This Skill enables deferrable human-in-the-loop controls in Airflow DAGs, allowing operators like ApprovalOperator and HITL operators to pause workflows until user input.
Deploy and configure HITL operators in an Airflow DAG to prompt users for approval or data input, then branch or continue based on responses.
High-intent search queries and answers about installing and using this skill.
To add a human-in-the-loop approval gate in an Airflow DAG, use deferrable operators like ApprovalOperator or HITLOperator to pause workflow execution until user input is received.
Deferrable HITL operators require Airflow 3.1 or newer, integrating with the UI and REST API to handle required actions and resume paused workflows.
Yes, you can branch an Airflow workflow based on manual user input by implementing the HITLBranchOperator, which pauses execution and routes the DAG based on human decisions.
Yes, the Airflow HITL Skill supports pausing workflows for manual data entry by using the HITLEntryOperator to prompt users for data input before progressing.
Limitations of human-in-the-loop controls in Airflow include lacking coverage for AI or LLM calls, strictly requiring Airflow 3.1+ for deferrable operator compatibility.
ilorozco11Automate Airflow DAG development with TaskFlow API and GCP integrations.
bartoszwarzochaSave and load JSON session state with /save-session and /load-session commands.
beauschwabCoordinate human approvals and inputs in Airflow 3.1+ workflows via UI or REST API using HITL operators.
p-o-ke-naeBuild production Apache Airflow DAGs with reusable operator, sensor, and branching patterns.
