agentsclimarketplace

因此 然而 conversation

Skill ECNU-ICALK/AutoSkill/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/因此-然而-conversation

General SOP for common requests related to 因此, 然而, conversation.From its SKILL.md

Install
npx -y skills add ECNU-ICALK/AutoSkill --skill 因此-然而-conversation

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

1.8 KB, 411 tokens by cl100k_base, as published. Nobody here has run it

因此 / 然而 / conversation

General SOP for common requests related to 因此, 然而, conversation.

Prompt

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

  1. Offline OpenAI-format conversation source.
  2. Title: 83b35598fa1ff4a44b537d775a3a7756.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. 请问我做翻译,应该一次会议我一个人只需要翻译一门母语加上一门外语吧,听说要翻译三门甚至更多语言,不知道是不是真的
  8. 请问日本压抑吗?排外吗?封建皇权思想严重吗?可以骂天皇或者政府吗?女性地位怎么样
  9. 侵华战争话题在日本是不是违法
  10. 日本的上下级观念是不是很严重,必须使用敬语吗

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.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.