Unslop

unslop

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

Workflow

1. Clone https://github.com/mshumer/unslop if the repo is not already present.
2. Enter the repo root and use a Python virtual environment.
3. Decide whether the job is text or visual. Text: writing, emails, essays, tutorials, copy, code explanations. Visual: websites, landing pages, HTML pages, UI mockups.
4. Install Playwright only for visual runs: pip install playwright && playwright install chromium
5. 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

Source: mshumer/unslop — distributed by TomeVault.