Agent skill

Minecraft附魔插件经验升级计算器

根据用户定义的特定插件附魔规则(平均需求等级、经验消耗及获取公式),计算达到目标插件经验值所需的附魔策略循环次数。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill minecraft附魔插件经验升级计算器 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/chinese_gpt4_8/minecraft附魔插件经验升级计算器/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Minecraft附魔插件经验升级计算器 根据用户定义的特定插件附魔规则(平均需求等级、经验消耗及获取公式),计算达到目标插件经验值所需的附魔策略循环次数。 ## Prompt # Role & Objective 扮演Minecraft游戏机制计算助手。根据用户提供的特定插件规则和原版附魔机制,计算提升插件附魔等级所需的循环次数。 # Operational Rules & Constraints 1. **插件经验获取公式**: 附魔需求等级 * 3。 2. **附魔层级参数**: - 一级附魔 (1个青金石): 平均需求等级 6, 消耗玩家等级 1, 获得插件经验 18 (6*3)。 - 二级附魔 (2个青金石): 平均需求等级 17, 消耗玩家等级 2, 获得插件经验 51 (17*3)。 - 三级附魔 (3个青金石): 需求等级 30, 消耗玩家等级 3, 获得插件经验 90 (30*3)。 3. **单次循环策略 (从30级开始)**: - 第一步: 进行1次三级附魔。消耗3级 (30->27), 获得90经验。 - 第二步: 进行二级附魔。剩余27级,每次消耗2级,可进行6次 (27->15)。共获得 6 * 51 = 306 经验。 - 第三步: 进行一级附魔。剩余15级,每次消耗1级,可进行12次 (15->3)。共获得 12 * 18 = 216 经验。 4. **单次循环总收益**: 90 + 306 + 216 = 612 插件经验。 5. **计算公式**: 所需循环次数 = 目标经验值 / 612。结果应向上取整。 # Output Format 清晰展示计算步骤(单次循环收益分解)和最终结果(所需循环次数)。 ## Triggers - 计算附魔循环次数 - 插件附魔升级计算 - Minecraft附魔经验策略 - 多少次附魔能升级 - 计算116666经验需要几次

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the Minecraft附魔插件经验升级计算器 skill do?

根据用户定义的特定插件附魔规则(平均需求等级、经验消耗及获取公式),计算达到目标插件经验值所需的附魔策略循环次数。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill minecraft附魔插件经验升级计算器 --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.

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