id: "20e473b8-647c-4788-a95d-96007150d567" name: "yes / drink / bitter" description: "General SOP for common requests related to yes, drink, bitter." version: "0.1.1" tags:

• "yes"
• "drink"
• "bitter"
• "etc"
• "device"
• "encrypted" triggers:
• "Use when the user asks for a process or checklist."
• "Use when you want to reuse a previously mentioned method/SOP." examples:
• input: "Break this into best-practice, executable steps."

yes / drink / bitter

General SOP for common requests related to yes, drink, bitter.

Prompt

Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):

1. Offline OpenAI-format conversation source.
2. Title: a2b39d80f0e6cb82bc7901859e3067e4.json#conv_1
3. Use the user questions below as the PRIMARY extraction evidence.
4. Use the full conversation below as SECONDARY context reference.
5. In the full conversation section, assistant/model replies are reference-only and not skill evidence.
6. Primary User Questions (main evidence):
7. write expert system using swi-prolog language for drinks recommendation. Drinks properties must be dynamic. System must have explanation system and have a rule to list all drinks.
8. use dynamic terms: ":- dynamic d_sweet, d_sour, d_fruity, d_salty, d_spicy" etc
9. No, drink must be a rule like drink(drink_name) :- d_sweet(1), d_sour(no), d_fruity(yes).
10. okay, whatever, forget

For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.

Triggers

• Use when the user asks for a process or checklist.
• Use when you want to reuse a previously mentioned method/SOP.

Examples

Example 1

Input:

Break this into best-practice, executable steps.