Extract and map shop context into a lean shop-reference.md.
npx skills add https://github.com/tot3lis/ShopFloor-AI --skill shop-context
Please help me install this Agent Skill. Skill: shop-context Source: https://github.com/tot3lis/ShopFloor-AI/tree/main/.agents/skills/shop-context Command: npx skills add https://github.com/tot3lis/ShopFloor-AI --skill shop-context
ShopContext helps AI understand a specific shop by converting messy routers, travelers, machine lists, asset exports, operation instructions, and user notes into a lean shop-context model that AI can reason about.
Run ShopContext with your shop documents (routers, work orders, travelers, machine lists, asset exports, operation instructions, and notes) to generate a lean shop-reference.md.
High-intent search queries and answers about installing and using this skill.
ShopContext extracts shop context by mapping operation flows and work centers from mixed manufacturing documents like routers and travelers. It preserves exact equipment terms while summarizing internal steps into a lean shop-reference model for downstream AI reasoning.
Mapping operation numbers and equipment terms from messy shop data involves decomposing ambiguous router operations using attached instructions. ShopContext preserves exact operational details and outputs a structured shop-reference.md file that supports downstream decision making without losing original fidelity.
Yes, shop data extraction supports downstream Q&A and manufacturing decision making by producing a lean shop-reference.md. This output captures work centers and decomposed operations, allowing AI to accurately reason about specific shop contexts and operational constraints.
Yes, the context extraction process preserves ambiguity when decomposing router operations. ShopContext explicitly marks uncertainty from attached instructions and notes rather than guessing, ensuring the shop-reference output faithfully represents incomplete or conflicting manufacturing data.
Shop context extraction outputs a lean shop-reference.md file for AI manufacturing workflows. This markdown format organizes extracted operation flows, work centers, and equipment contexts into eight distinct sections, providing a structured context model that supports AI reasoning.
tot3lisOrchestrate ShopFloor AI onboarding from shop-reference creation to SME management.
tot3lisGenerate router-ready SME shells from ShopContext shop-reference.md data.
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