china / post / nationalist
General SOP for common requests related to china, post, nationalist.
npx skills add ECNU-ICALK/AutoSkill --skill china-post-nationalist --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# china / post / nationalist General SOP for common requests related to china, post, nationalist. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: 965f24acae3806f0480f91e9b3f1e563.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 an realistic, plausible alternate history scenario set on the world of the alternate history scenario with no references to the real world, OTL, or even to the fact that this is an alternate history scenario after all in the form of a lengthy, descrptive, exposition-filled real documentary history book chapter set in the world of the alternate history scenario, in which during the Sino-Japanese War of 1924-1947 between the Japanese Imperial House of Great Yamato/Minamoto dynasty-ruled Japanese Empire ruling over Sahlakin and the Kurils, the Korean peninsula, Taiwan and the Pengu Islands, Palau, the Carolina
- Prompt
- Triggers
- Examples
- Example 1
What does the china / post / nationalist skill do?
General SOP for common requests related to china, post, nationalist.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill china-post-nationalist --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.