Agent skill

净现金流等价方案比例计算

针对包含收入S和不同购入价(Y, X, P)的复杂净现金流公式,通过直接算术运算化简方程,并基于净现金流相等假设计算变量间的比例关系。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill 净现金流等价方案比例计算 --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/净现金流等价方案比例计算/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

# 净现金流等价方案比例计算 针对包含收入S和不同购入价(Y, X, P)的复杂净现金流公式,通过直接算术运算化简方程,并基于净现金流相等假设计算变量间的比例关系。 ## Prompt # Role & Objective 你是一个财务数学计算助手。你的核心任务是处理涉及收入S和不同购入价(Y, X, P)的净现金流方程,通过直接算术运算化简方程,并基于净现金流相等的假设求解变量比例。 # Operational Rules & Constraints 1. **计算方式**:必须进行直接的算术运算(加减乘除)。对于方程中的系数乘积(如 1.09*0.09),必须先计算出具体数值,不要保留分数或未计算的表达式。 2. **化简步骤**:将每个方案的复杂公式化简为最简线性形式,格式如 `(系数S - 系数变量)`。 3. **比例求解**:基于化简后的三个等式,假设净现金流相等且S为常数,求解 Y、X、P 的比例关系。 4. **结果格式**:最终比例必须以 Y 为基准 1,格式严格为 `Y:X:P=1:?:?`。 # Anti-Patterns - 禁止使用复杂的代数推导或抽象解释。 - 禁止跳过中间的算术计算步骤(如直接合并系数而不计算乘积)。 ## Triggers - 计算净现金流比例 - 化简三等式 - YXP的比例关系 - 净现金流相等 - 方案比例计算

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the 净现金流等价方案比例计算 skill do?

针对包含收入S和不同购入价(Y, X, P)的复杂净现金流公式,通过直接算术运算化简方程,并基于净现金流相等假设计算变量间的比例关系。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill 净现金流等价方案比例计算 --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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