countries / taiwan / 193
General SOP for common requests related to countries, taiwan, 193.
npx skills add ECNU-ICALK/AutoSkill --skill countries-taiwan-193 --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.
# countries / taiwan / 193 General SOP for common requests related to countries, taiwan, 193. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: a65fd01bcaf8723387af1318ebe10b88.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) what are the advantages of learning thai? 8) why is thailand not as popular as japan and korea 9) will thailand become more popular in western media 10) i want to try doodling my own animation using flash but it keeps changing my lines i draw to different shapes how do i stop it 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-pract
- Prompt
- Triggers
- Examples
- Example 1
What does the countries / taiwan / 193 skill do?
General SOP for common requests related to countries, taiwan, 193.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill countries-taiwan-193 --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.