workspace-manager

Workspace initialization for multi-agent environments deploys a standardized .agent/ hierarchy to consolidate context, rules, and skills. This Skill uses deterministic Python scripts to establish consistent directory structures across different models and deployments.

Maintaining a clean repository shipping state when switching LLM agents requires automated cleanup to optimize .gitignore management and audit orphan files. This Skill moves orphaned root-level files into a .review folder, minimizing friction during transitions.

To initialize and organize an agent workspace, execute the /workspace-init command to establish the directory structure, followed by /workspace-cleanup to audit the hierarchy. These commands run deterministic Python scripts located under the scripts/ directory.

Managing multi-agent environments with workspace-manager requires no external dependencies. It operates solely using deterministic Python scripts included within the scripts/ component to handle initialization, cleanup, and deployment of the .agent hierarchy.

During automated workspace cleanup, orphan files at the root level are audited and automatically moved to a .review folder for later inspection. This process ensures the root directory maintains a clean shipping state alongside optimized .gitignore management.

An automated workspace organization tool should be used when managing multi-agent environments requiring consistent workspace structures across models and deployments. It minimizes friction and maintains clean project states during automated devops workflows.