unslop

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Use this repo to generate a domain-specific profile that removes repetitive AI defaults.

使用本代码仓库生成特定领域的配置文件，以消除重复的AI默认生成内容。

Clone
```
https://github.com/mshumer/unslop
```
if the repo is not already present.
Enter the repo root and use a Python virtual environment.
Decide whether the job is
```
text
```
or
```
visual
```
. Text: writing, emails, essays, tutorials, copy, code explanations. Visual: websites, landing pages, HTML pages, UI mockups.

Install Playwright only for visual runs:

pip install playwright && playwright install chromium

Run the tool:

python3 unslop.py --domain "<domain>"

python3 unslop.py --domain "<domain>" --type visual --count 20 --concurrency 3

仅在处理视觉类任务时安装Playwright：

pip install playwright && playwright install chromium

运行工具：

python3 unslop.py --domain "<domain>"

python3 unslop.py --domain "<domain>" --type visual --count 20 --concurrency 3

Check

unslop-output/analysis.md

and

unslop-output/skill.md

```
analysis.md
```
must be concrete, counted, and specific.
```
skill.md
```
should mostly say what to avoid, not prescribe one new stock style.

For visual runs, compare

unslop-output/before-after/before.html

and

unslop-output/before-after/after.html

If the analysis is thin or obviously missed repeated patterns, rerun or rewrite the analysis from inside

unslop-output

after reviewing the screenshots and sample files directly.

查看

unslop-output/analysis.md

和

unslop-output/skill.md

文件：

对于视觉类任务，对比

unslop-output/before-after/before.html

和

unslop-output/before-after/after.html

文件。

如果分析内容单薄，或明显遗漏了重复出现的模式，可在直接查看截图和样本文件后，重新运行工具或在

unslop-output

目录下重写分析内容。

Return:

The generated
```
skill.md
```
The main repeated patterns the analysis found
Any caveats about sample quality, missing screenshots, or weak comparison output

返回以下内容：