Formalize runtime AI toolkits as blueprints in DXOS.
npx skills add https://github.com/dxos/dxos --skill dxos-blueprints
Please help me install this Agent Skill. Skill: dxos-blueprints Source: https://github.com/dxos/dxos/tree/main/.cursor/skills/blueprints Command: npx skills add https://github.com/dxos/dxos --skill dxos-blueprints
Guide for creating and integrating Blueprints in DXOS. Use when adding blueprints to plugins, wiring operations as tools, structuring blueprint definitions, or testing with AssistantTestLayer.
Create a Blueprint with a key, an operations set, and a make factory, then wire it into your plugin for runtime use.
High-intent search queries and answers about installing and using this skill.
To define AI toolkits as blueprints in DXOS, you formalize them using a three-part structure: a key, an operations set for tool schemas, and a make factory for runtime execution handlers.
Wiring blueprint operations into a DXOS plugin involves registering the blueprint within capabilities and plugins to enable runtime tool invocation and execution for specific domains like markdown or kanban.
Yes, you can test AI tool handlers using AssistantTestLayer in DXOS to validate blueprint integration patterns and ensure your operation schemas and runtime handlers function correctly before deployment.
A DXOS blueprint definition requires a three-part structure: a key identifier, an operations set defining tool schemas, and a make factory that generates operation handlers for runtime execution.
Registering AI toolkits in DXOS plugins requires no external dependencies; blueprints are self-contained definitions combining operation schemas and handlers that integrate directly into capabilities for runtime use.
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dxosTest assistant-toolkit conversations, agents, and blueprints in DXOS CI workflows.
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