Route shop questions to SME shells and synthesize concise answers.
npx skills add https://github.com/tot3lis/ShopFloor-AI --skill sme-manager
Please help me install this Agent Skill. Skill: sme-manager Source: https://github.com/tot3lis/ShopFloor-AI/tree/main/.agents/skills/sme-manager Command: npx skills add https://github.com/tot3lis/ShopFloor-AI --skill sme-manager
Routes user questions to the appropriate SME shells and synthesizes a concise, shop-specific answer that respects shop context and SME contributions.
Upload your shop fixture and run the SME Manager to route questions to selected SMEs and generate a concise shop-specific answer.
High-intent search queries and answers about installing and using this skill.
To route technical questions to subject matter experts, you need a SME registry and SME shell files. The manager selects the smallest useful set of SMEs, invokes them with context, and synthesizes their contributions into a single concise answer.
Knowledge management routing for shop-floor contexts directs user queries to appropriate SME shells using a registry. It applies shop-specific context and optional knowledge maps to synthesize concise answers, ensuring coverage respects shop-flow constraints.
Shell invocation for SME routing requires creating a sme-registry.md file and placing SME shell files under the smes/ directory. The manager reads this registry to select and invoke the appropriate shells with linked knowledge packages.
Yes, you can use knowledge packages to influence context synthesis. The manager attaches relevant knowledge-packages from a registry to provide context, but it does not reason directly from the Layer 4 package content itself.
Shop-floor knowledge routing requires sme-registry.md and sme shell files under smes/. Optional files include sme-knowledge-map.md and knowledge-package-registry.md to attach relevant knowledge-packages and influence routing decisions.
The manager synthesizes answers but does not reason directly from Layer 4 knowledge package content. It relies entirely on the SME registry and shell outputs, meaning conclusions are constrained by shop-flow context and the selected SMEs' contributions.
tot3lisDerives reusable Layer 4 knowledge packages from SME shells and registries for manufacturing SMEs.
ZateCreate and debug Godot scenes and GDScript game logic.
tot3lisGenerate router-ready SME shells from ShopContext shop-reference.md data.
tot3lisOrchestrate ShopFloor AI onboarding from shop-reference creation to SME management.
