name	unslop
description	Use this skill when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially different from the baseline.

unslop

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

Workflow

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

Output Review

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.
The after result should feel meaningfully less generic than before.

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.

Deliverable

Return:

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

name	unslop
description	Use this skill when you need to run the unslop repo, analyze a domain for repetitive AI defaults, generate a reusable skill file, and verify that the output is specific and materially different from the baseline.