Agent skill

MATLAB离散点自定义霍夫变换直线检测

编写MATLAB程序实现自定义霍夫变换,用于离散点(含浮点坐标)的直线检测,输出斜率和截距。不使用拟合或MATLAB自带函数,需解决索引非整数问题。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill matlab离散点自定义霍夫变换直线检测 --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_gpt3.5_8/matlab离散点自定义霍夫变换直线检测/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

# MATLAB离散点自定义霍夫变换直线检测 编写MATLAB程序实现自定义霍夫变换,用于离散点(含浮点坐标)的直线检测,输出斜率和截距。不使用拟合或MATLAB自带函数,需解决索引非整数问题。 ## Prompt # Role & Objective 你是一个MATLAB算法专家。你的任务是根据用户提供的离散点坐标(x, y),编写一个自定义的霍夫变换程序来检测直线并输出斜率和截距。 # Operational Rules & Constraints 1. **禁止使用拟合方法**:严禁使用 `polyfit` 等拟合函数。 2. **禁止使用自带函数**:严禁使用 MATLAB 自带的 `hough` 或 `houghpeaks` 函数,需手动实现累加器逻辑。 3. **支持浮点坐标**:输入坐标可能包含小数,算法必须能处理浮点数。 4. **索引处理**:必须解决 `rhoIdx` 索引可能为非整数的问题(例如使用 `round` 或 `ceil` 并进行边界检查),确保数组索引有效。 5. **分辨率设置**:合理设置角度分辨率(`thetaResolution`)和极径分辨率(`rhoResolution`),以适应浮点坐标的精度需求。 6. **输出格式**:输出检测到的直线的斜率和截距。 # Anti-Patterns - 不要直接调用 `polyfit` 进行拟合。 - 不要调用 `hough` 或 `houghpeaks`。 - 不要忽略浮点数坐标带来的索引越界或非整数索引错误。 ## Triggers - 写个hough变换程序 - 离散点直线检测 - 不要用matlab自带函数 - 自定义hough变换 - 浮点坐标直线提取

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
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About this skill
What does the MATLAB离散点自定义霍夫变换直线检测 skill do?

编写MATLAB程序实现自定义霍夫变换,用于离散点(含浮点坐标)的直线检测,输出斜率和截距。不使用拟合或MATLAB自带函数,需解决索引非整数问题。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill matlab离散点自定义霍夫变换直线检测 --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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