Generate router-ready SME shells from ShopContext shop-reference.md data.
npx skills add https://github.com/tot3lis/ShopFloor-AI --skill sme-generator
Please help me install this Agent Skill. Skill: sme-generator Source: https://github.com/tot3lis/ShopFloor-AI/tree/main/.agents/skills/sme-generator Command: npx skills add https://github.com/tot3lis/ShopFloor-AI --skill sme-generator
Generates router-ready SME shells from ShopContext shop-reference data to enable rapid SME planning and routing.
Run the SME generator on the provided shop-reference.md to produce SME coverage, registry, and profile shells.
High-intent search queries and answers about installing and using this skill.
To generate SME coverage profiles from manufacturing shop reference data, run the SME generator on a shop-reference.md file to parse named machines, stations, and assets. It outputs sme-coverage.md, sme-registry.md, and individual profile shells.
From ShopContext shop-reference data, you can create Shop Flow SME, Inspection SME, and Machine or Capability SME shells. These profiles are generated from named machines, stations, cells, and assets defined in the shop-reference.md file.
Router-ready SME shell formatting works by applying predefined triggers and contribution sections to generated manufacturing profiles. This enables seamless routing integration for Shop Flow, Inspection, and Machine SMEs directly from shop-reference data.
Yes, you can use the SME generator for manufacturing assets without prior routing configuration. It produces router-ready profile shells with pre-configured triggers and contribution formats, enabling rapid SME planning and immediate routing integration.
The best way to structure shop-reference metadata for SME generation is to clearly define named machines, stations, cells, equipment, and operations within a shop-reference.md file. This allows the generator to accurately produce Shop Flow, Inspection, and Capability SME shells.
tot3lisOrchestrate ShopFloor AI onboarding from shop-reference creation to SME management.
tot3lisRoute shop questions to SME shells and synthesize concise answers.
tot3lisDerives reusable Layer 4 knowledge packages from SME shells and registries for manufacturing SMEs.
aws-samplesIntegrate contributor use-case files into the Examples feature with standardized metadata.
