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To manage per-project AI agents in Claude Code, you can use a curation workflow that selects a specific subset of agents from a central repository. This ensures a clean environment by only loading agents relevant to your specific project configuration.

To fix AI agent configuration drift, you can synchronize your local project agents with a canonical HR repository. A lockfile tracks the state, and a sync subcommand automatically updates generated artifacts to ensure consistent agent behavior.

The best way to curate AI agents for specific technology stacks is to use a suggest command that analyzes your project's file structure. This automatically selects relevant agents from a central repository, eliminating agent bloat from loading unnecessary configurations.

Yes, you need the pyyaml dependency to set up project-specific agent staffing. It is required to parse the YAML configuration files used for selecting and synchronizing your curated AI agent rosters.

Lifecycle management for curated AI agent rosters works by maintaining a local lockfile alongside generated agent artifacts. This allows you to apply configurations, detect drift from the canonical repository, and synchronize updates throughout the project lifecycle.

Loading all available AI agents causes agent bloat, which clutters the Claude Code environment and reduces focus. Curating a project-specific subset ensures only relevant agents are loaded, keeping the development environment clean and targeted.