AutoSkill as / were / japanese

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

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 "$T/SkillBank/Users/chinese_gpt3.5_8_GLM4.7/as-were-japanese" ~/.claude/skills/ecnu-icalk-autoskill-as-were-japanese && rm -rf "$T"
manifest: SkillBank/Users/chinese_gpt3.5_8_GLM4.7/as-were-japanese/SKILL.md
source content

as / were / japanese

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

Prompt

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

  1. Offline OpenAI-format conversation source.
  2. Title: 1058e1cbf9fcecd66f8346270444a957.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. 你知道世界上有多少人吗
  8. 你能介绍一下英国解佳撰的《长生术》吗
  9. 概括这段话的大意:有一楼油画北清战事,不忍观。日人非夸张。强武欲国人时时往观,知所警惧,借玩好以激励志气也,如近日露兵局,处处设报,家家有图,人人演说,真有国事如家事之慨。前月坏战舰二,国人相聚失色,某学校学授上堂演说,大哭失声。是日竟罢教事,报一胜仗,国人大喜,门前竖日本国旂,燃双灯,上书:大日本帝国万岁。一家如是,万家皆如是,国人男妇额手称庆,卖报人手持报纸,臀赘二三铃,冲市乱跑,若有非常之喜者,仍异中人之售乡会试题名录也。日人常云,中国无国史。予警其说,请道所谓,日本人云:中国之史,皆纪皇上一家之事,事不关朝廷,纪载缺如臣庶人民,数千年无私成国史之书。予以为知言。
  10. 能分析作者和的情感态度吗

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.