Synchronize AI agent edits with the Auto workspace model.
npx skills add https://github.com/BeOnAuto/auto-agent --skill auto-workspace
Please help me install this Agent Skill. Skill: auto-workspace Source: https://github.com/BeOnAuto/auto-agent/tree/main/skills/workspace Command: npx skills add https://github.com/BeOnAuto/auto-agent --skill auto-workspace
It helps you keep your coding agent aligned with the Auto workspace model so changes are made against the authoritative Narrative-Driven Development structure instead of drifting from it.
When you update an app’s narrative in Auto (e.g., a new scene or modified UI moment), you use this Skill to fetch the latest model, apply the corresponding changes, and send them back so Auto validates and corrects any structural issues.
Use the auto_get_model tool to fetch the latest Auto workspace model, update the relevant narratives/scenes/moments, then apply the changes back with auto_send_model.
High-intent search queries and answers about installing and using this skill.
To synchronize AI agent edits with an Auto workspace model, you fetch the latest model state, apply your narrative or scene modifications, and submit them back to Auto for structural validation and server-side correction.
Narrative-Driven Development workspace model synchronization is the process of aligning AI coding edits with the authoritative Auto model hierarchy, ensuring changes applied to domains, narratives, scenes, and moments do not drift from the project spec.
You track incremental changes in an Auto workspace model by pulling added, removed, or updated narratives, scenes, moments, and messages since your last check to support safe iteration and identify externally updated content.
You validate structural updates in a Narrative-Driven Development model by submitting the modified workspace model back to Auto, which performs structural validation and returns the server-corrected version to ensure spec alignment.
Yes, Auto workspace model synchronization requires calling the fetch model function before modifications, submitting the model after edits, and optionally detecting externally updated narratives to maintain an authoritative state across collaboration cycles.
Your Auto workspace model updates drift when changes are not synchronized against the authoritative Narrative-Driven Development hierarchy, requiring you to fetch the latest model, apply edits top-down through the hierarchy, and submit them back for server correction.
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