From rmyndharis-antigravity-skills
Builds production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. For data pipelines, workflow orchestration, or batch job scheduling.
npx claudepluginhub joshuarweaver/cascade-code-general-misc-2 --plugin rmyndharis-antigravity-skillsThis skill uses the workspace's default tool permissions.
Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
Production-ready patterns for Apache Airflow including DAG design, operators, sensors, testing, and deployment strategies.
Refer to resources/implementation-playbook.md for detailed patterns, checklists, and templates.
resources/implementation-playbook.md for detailed patterns, checklists, and templates.