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AutoSkill yes / drink / bitter

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

install
source · Clone the upstream repo
git clone https://github.com/ECNU-ICALK/AutoSkill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/ECNU-ICALK/AutoSkill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/yes-drink-bitter" ~/.claude/skills/ecnu-icalk-autoskill-yes-drink-bitter && rm -rf "$T"
manifest: SkillBank/ConvSkill/english_gpt3.5_8_GLM4.7/yes-drink-bitter/SKILL.md
source content

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.