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To automate project maintenance, you can use a lifecycle orchestrator to handle schema migrations, detect dependency drift, and recover from legacy states. This ensures your project structure remains stable during framework version upgrades.

A project health check performs diagnostic scans and pre-flight checks to verify your development environment configuration. You need it before upgrades or when ensuring dependency consistency and project state integrity.

You bootstrap a project by running a diagnostic bootstrap script to scan and verify the health of your environment. This process checks project state files and validates that dependency consistency is maintained.

Yes, you need Python 3, git, and yaml to run project lifecycle migrations. These dependencies are required to execute maintenance scripts and validate project state files during complex lifecycle transitions.

Recovery from legacy states and fixing dependency drift is handled by automated maintenance scripts that detect compatibility issues, validate project state files, and apply necessary schema upgrades.

Automated project state migration requires standard shell utilities, Python 3, and yaml to function. It is limited to managing complex lifecycle transitions and dependency consistency within the project directory structure.