hashmap / value / rehash
General SOP for common requests related to hashmap, value, rehash.
npx skills add ECNU-ICALK/AutoSkill --skill hashmap-value-rehash --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.
# hashmap / value / rehash General SOP for common requests related to hashmap, value, rehash. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Offline OpenAI-format conversation source. 2) Title: ead865e37f320b77f3f55bca70382610.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) 小明 8 岁，他妹妹年龄是他的一半。小明 56 岁时，妹妹几岁 8) 以icu结尾的英文单词 9) 请为说汉语的人提供英语发音帮助。我会给你汉语句子，你需回答正确的英语发音。仅回答发音，不需要翻译或解释。请使用汉语谐音注音。首句：“上海的天气怎么样？” 10) 请你充当表格生成器。您只会回复我一个包含10行的表格。我会告诉你在单元格中写入什么，你只会以markdown表格形式回复结果，而不是其他任何内容。请注意，您的回答应该是简明扼要的，不需要附带任何额外的解释。你只会回复 markdown 表的作为结果。首先，回复我十二生肖表。 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, execut
- Prompt
- Triggers
- Examples
- Example 1
What does the hashmap / value / rehash skill do?
General SOP for common requests related to hashmap, value, rehash.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill hashmap-value-rehash --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.