Yes drink bitter

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/yes-drink-bitter

General SOP for common requests related to yes, drink, bitter.From its SKILL.md

Install

npx -y skills add ECNU-ICALK/AutoSkill --skill yes-drink-bitter

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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SKILL.md

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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>):

Offline OpenAI-format conversation source.
Title: a2b39d80f0e6cb82bc7901859e3067e4.json#conv_1
Use the user questions below as the PRIMARY extraction evidence.
Use the full conversation below as SECONDARY context reference.
In the full conversation section, assistant/model replies are reference-only and not skill evidence.
Primary User Questions (main evidence):
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.
use dynamic terms: ":- dynamic d_sweet, d_sour, d_fruity, d_salty, d_spicy" etc
No, drink must be a rule like drink(drink_name) :- d_sweet(1), d_sour(no), d_fruity(yes).
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.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.