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Kill Ai Slop

CommunityPopular
yetone
kill-ai-slop

Find and remove AI slop — the generic, machine-default visual and copy tics of vibe-coded products — from a web project. Use when the user asks to "kill AI slop", "de-slop", "remove the AI look", "make this not look AI-generated", or clean up a landing page / UI / docs that feels templated. Detects and fixes the catalogue of tells: indigo→violet gradients, gradient-clip headlines, the default semantic palette, one-hue status boxes, atmospheric gradients, serif-italic emphasis, highlighted keywords, AI copywriting voice ("not just X — it's Y"), emoji everywhere, glowing status dots, wobbling spinners, colored-left-border callouts, pastel icon tiles, glassmorphism, over-rounding, oversized shadows, borders that die at corners, badge & pill spam, AI-drawn SVG icons, kickers over every heading, flat type hierarchies, invented stat rows, 01/02/03 section markers, cards nested in cards, the default Inter/Space Grotesk look, and more. Works on HTML/CSS, React/Vue/Svelte/Astro, Tailwind, PHP, and Markdown copy.

Overview

Publisheryetone
Repositorykill-ai-slop
Skill namekill-ai-slop
Stars
1.2K
Forks
52
Bundled files
6
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 6 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yetone on GitHub. Read the source before you install it.

Installation

Install the Kill Ai Slop AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yetone/kill-ai-slop.git /tmp/kill-ai-slop
mkdir -p .claude/skills
cp -r /tmp/kill-ai-slop/skill .claude/skills/kill-ai-slop
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kill Ai Slop in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kill Ai Slop on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kill Ai Slop is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Kill AI Slop

AI slop is ugly in a specific way: it piles on every possible style and detail without settling on a focus. A gradient, a glow, a mascot, emoji, a wall of glowing cards, every default switched on at once, until every product looks like the same garish template. It reads as "designed" in a thumbnail and falls apart the moment anyone looks. Your job is to strip it back to something a person would actually choose.

The principles, held on every fix you make:

  1. Decide before you decorate. Every visual choice must be explainable.
  2. One accent, one voice.
  3. Hierarchy from scale and space. Coloring words or swapping fonts is a shortcut.
  4. Subtract first. The first move toward not-ugly is removing things.
  5. Specific beats punchy in copy.
  6. Decoration must mean something — icons, badges, callouts are signals.

Workflow

Follow these steps in order. Do not mass-edit before the user has seen the report.

1. Scope

Confirm what to scan. Default to the app/site source (skip node_modules, dist, build, .git, vendor, lockfiles, minified files). Ask if the project mixes several apps.

2. Scan

Run the bundled scanner, which greps the codebase for the code-level signals of each tell and prints grouped file:line hits:

node scripts/scan.mjs <root>          # human-readable report
node scripts/scan.mjs <root> --json   # machine-readable, for triage

It is pure Node (no dependencies) and never edits files. Use its output as a starting map, not gospel — confirm each hit by reading the code.

To narrow a scan: --only=01,06 / --skip=19 filter by tell id, and --exclude=legacy drops paths (substring match on the project-relative path). --rules=extra.mjs loads additional project- or language-specific tells (scripts/rules.ru.mjs is a shipped Russian-copy example and the template for your own). Hits the user has confirmed as intentional can be pinned in source with deslop-ignore, deslop-ignore-next-line 06, or deslop-ignore-file comments — prefer the id-scoped forms so new tells still surface.

3. Triage

For every hit, open the file and decide slop vs. intentional. This is the step that separates this skill from a lint rule. A gradient, a serif, or an emoji can be a real, defended choice. Keep anything the user clearly chose (brand tokens, a logo, a deliberate illustration). Flag only defaults.

Read references/taxonomy.md for what each tell is and why it reads as machine-made, and references/detection.md for the exact patterns and their common false positives.

4. Report

Before changing anything, give the user a grouped summary: each tell, the file:line hits you confirmed, one sentence on why, and the proposed fix. Mirror the format:

slop  src/Hero.tsx:12   indigo→violet gradient        → one solid accent
slop  src/Hero.tsx:31   gradient-clip headline        → solid ink, scale up
slop  src/Note.tsx:8    border-l-4 callout ×3         → 1 aside, rest is body
slop  copy.md:1         "not just X — it's Y"         → say the specific thing
→ 4 groups, 11 hits.

Then ask which groups to apply, or whether to proceed on all.

5. Fix

Apply the minimal change that removes the tell while preserving intent and function. Use references/fixes.md for the before→after pattern per tell.

  • Prefer editing shared tokens/components over touching every call site.
  • Never invent new brand colors; if a palette must change, propose neutrals + the project's existing accent and let the user confirm.
  • Keep copy meaning; make it specific, don't just delete it.
  • Re-run the scanner after fixing to confirm the count dropped, and note any hits you intentionally left (with the reason).

Guardrails

  • Respect authorship. Treat unfamiliar files and deliberate flourishes as someone's choice. When unsure whether something is slop, ask — don't strip it.
  • Small, reviewable diffs. Never reformat unrelated code. Never run git add -A; stage explicit files only, and leave others' work-in-progress alone.
  • No new dependencies to do this work.
  • Verify visually when possible. If a dev server exists, look at the before and after; a passing scan is not the same as a better page.

References

  • references/taxonomy.md — the 35 tells: what each is, why it's slop, the fix.
  • references/detection.md — concrete ripgrep/regex patterns + false positives.
  • references/fixes.md — before→after remediation patterns.
  • scripts/scan.mjs — the dependency-free scanner.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kill Ai Slop AI skill do?

Find and remove AI slop — the generic, machine-default visual and copy tics of vibe-coded products — from a web project. Use when the user asks to "kill AI slop", "de-slop", "remove the AI look", "make this not look AI-generated", or clean up a landing page / UI / docs that feels templated. Detects and fixes the catalogue of tells: indigo→violet gradients, gradient-clip headlines, the default semantic palette, one-hue status boxes, atmospheric gradients, serif-italic emphasis, highlighted keywords, AI copywriting voice ("not just X — it's Y"), emoji everywhere, glowing status dots, wobbling...

Why use Kill Ai Slop on TypingMind?

Because you install it once and use it with any model. Kill Ai Slop is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kill Ai Slop in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yetone/kill-ai-slop/tree/main/skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kill Ai Slop?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kill Ai Slop?

As many as you like. As long as a model supports skills, you can use Kill Ai Slop with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kill Ai Slop AI skill free?

Yes. It is published on GitHub by yetone under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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