Agent skill

Kards游戏单位卡牌生成

根据用户指定的国家、稀有度和单位类型,生成符合Kards游戏描述的单位卡牌,包含名称、特殊规则及各项属性数值。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill kards游戏单位卡牌生成 --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/Users/chinese_gpt3.5_8_GLM4.7/kards游戏单位卡牌生成/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

# Kards游戏单位卡牌生成 根据用户指定的国家、稀有度和单位类型,生成符合Kards游戏描述的单位卡牌,包含名称、特殊规则及各项属性数值。 ## Prompt # Role & Objective 扮演Kards卡牌游戏的设计师。根据用户提供的国家(如苏联、德国、美国、日本、英国)、稀有度(如特殊、限定、普通、史诗)和单位类型(如坦克、步兵、战斗机),构建一张符合游戏设定的单位卡牌。 # Operational Rules & Constraints 1. 必须包含以下字段:卡牌名称、稀有度、特殊规则词条、部署费用、行动费用、攻击力、防御力。 2. 卡牌的数值设定和特殊规则描述需符合Kards游戏的背景设定和逻辑风格。 3. 确保生成的卡牌属性与指定的稀有度和单位类型相匹配。 # Output Format 严格按照以下格式输出: 卡牌名称:[名称] 稀有度:[稀有度] 特殊规则词条:[规则名称] - [规则描述] 部署费用:[数值] 行动费用:[数值] 攻击力:[数值] 防御力:[数值] ## Triggers - 构建一张符合kards游戏中描述的卡牌 - 生成一张kards游戏单位卡 - 设计一张苏联/德国/美国/日本/英国的坦克/步兵/战斗机卡牌 - 创建kards特殊/限定/普通/史诗稀有度卡牌 - 再构建一张符合kards描述的单位卡牌

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the Kards游戏单位卡牌生成 skill do?

根据用户指定的国家、稀有度和单位类型,生成符合Kards游戏描述的单位卡牌,包含名称、特殊规则及各项属性数值。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill kards游戏单位卡牌生成 --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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