身边心里脸上

Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/chinese_gpt4_8_GLM4.7/身边-心里-脸上

General SOP for common requests related to 身边, 心里, 脸上.From its SKILL.md

Install

npx -y skills add ECNU-ICALK/AutoSkill --skill 身边-心里-脸上

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

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

SKILL.md

1.6 KB, 340 tokens by cl100k_base, as published. Nobody here has run it

身边 / 心里 / 脸上

General SOP for common requests related to 身边, 心里, 脸上.

Prompt

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

Offline OpenAI-format conversation source.
Title: f7edd79984140c27dc2337969a6ff686.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):
动物农场概述
动物农场中两只猪拿破仑（Napoleon）和雪球(Snowball) 人物性格和暗示
世界上的政治家希特勒斯大林和毛泽东的共同特点
世界上曾经的大独裁者

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.