// 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.
| 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. |
Use this repo to generate a domain-specific profile that removes repetitive AI defaults.
https://github.com/mshumer/unslop if the repo is not already present.text or visual.
Text: writing, emails, essays, tutorials, copy, code explanations.
Visual: websites, landing pages, HTML pages, UI mockups.pip install playwright && playwright install chromiumpython3 unslop.py --domain "<domain>"
python3 unslop.py --domain "<domain>" --type visual --count 20 --concurrency 3Check 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.unslop-output/before-after/before.html and unslop-output/before-after/after.html.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.
Return:
skill.md