Collect Subway sandwich orders interactively and log them as GitHub Issues.
npx skills add https://github.com/tmdgusya/code-squad --skill subway
Please help me install this Agent Skill. Skill: subway Source: https://github.com/tmdgusya/code-squad/tree/main/skills/subway Command: npx skills add https://github.com/tmdgusya/code-squad --skill subway
This Skill enables interactive, live-order collection for Subway-style sandwiches, guiding users through a multi-step flow and recording orders in a structured format for further processing.
To begin, start a session with the Subway skill and follow the prompts across the 0-3 round flow, selecting or entering information as guided (name, menu type, bread, size, cheese, toppings, sauces, and set). If you opt into TTS, you will hear prompts; otherwise you will interact via text. After finalizing, the order is saved locally and pushed to GitHub as an issue for the day.
High-intent search queries and answers about installing and using this skill.
You can build an interactive order collection system by guiding users through multi-step prompts and logging finalized records as GitHub Issues. This requires a Node.js runtime and the GitHub CLI to submit and update orders by date.
Yes, you can add text-to-speech voice prompts to an interactive ordering workflow. The system supports optional macOS say-based TTS output to read prompts and updates aloud during the ordering flow.
An interactive order flow handles personas by switching between different personality modes for prompts. It supports diverse order modes like Quick Pick, Mood Pick, Random Gacha, and Calorie Target to customize the selection process.
Yes, you need the GitHub CLI installed to track and update simulated sandwich orders. The system uses the gh command to push finalized orders as GitHub Issues, logging each order by date with per-user details.
The limitation of using macOS say-based TTS is that voice prompts are optional and restricted to macOS environments. Users on non-macOS systems must interact via text only, without the voice guidance feature.
The best way to manage multi-step customization data is through a structured 0-3 round flow. This captures user inputs sequentially across menu type, bread, size, cheese, toppings, sauces, and set options before finalizing.
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