airflow-dag-patterns
Create production Airflow DAGs using practices for operators, sensors, testing, and deployment. Supports data pipeline creation, workflow orchestration, and batch job scheduling.
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Find your next superpower If you are an agent, refer to our llms.txt for full access."..." for exact phrases · Try typography, debugging or spreadsheetCreate production Airflow DAGs using practices for operators, sensors, testing, and deployment. Supports data pipeline creation, workflow orchestration, and batch job scheduling.
Provides safeguards for actions affecting live systems, shared state, and irreversible resources. Covers deletion, overwrites, process control, shared configuration, secrets hygiene, and concurrent-session safety before executing commands.
Guides error paths, catch blocks, default values, retries, and degraded modes across languages and repositories. Emphasizes avoiding silently swallowed failures and preventing defaults or exception handling from hiding problems.
Uses the Linear CLI to manage issues from the command line. Supports automation of Linear management tasks.
Provides read-only queries across EVS, OBS, SFS, and CBR. Covers disks and snapshots, buckets and objects, access policies, file system status and permissions, backup vaults, tasks, agents, and quotas.
Generates feature-level product requirements documents using an epic as the starting point.
Provides read-only queries for CES monitoring and EPS enterprise projects. Covers alarm rules, histories, templates, dashboards, notification masks, resource groups, project quotas, bound resources, and migration records.
Apply dbt practices for analytics engineering and data transformation. Covers model organization, testing, documentation, and incremental processing strategies.
Analyzes VPC Flow Logs, NAT, firewall, and threat logs, including flow log cost estimates. Queries latency and throughput metrics and runs Connectivity Tests to diagnose network paths.
Implement unit, integration, and replay tests for Temporal workflows. Covers pytest, time-skipping, mocking strategies, local development setup, and debugging test failures.
Sets up Huawei Cloud Object Storage Service buckets. Supports bucket creation, property configuration, access permissions, and guidance through the creation process.
Manages the lifecycle of CCI namespaces, networks, deployments, StatefulSets, pods, and public IP pools through the hcloud CLI. Includes status, logs, and metrics, with two-step confirmation for destructive operations.
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