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antislop-layoutmobile

An AI agent skill from miqdadbadjuber/anti-slop, scored 75 out of 100 by code.

75/ 100B

Code score by group

  • Spec20/20
  • Description10/20
  • Procedure12/15
  • Done criteria15/15
  • Resources7/10
  • Scripts5/8
  • Safety3/7
  • Upkeep3/5

It loses the most points in Description (10), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Mobile layout skill for antislop. Use for layouts that reflow across screen sizes, phone to desktop: grids, overflow, tap targets. Load with the core.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
miqdadbadjuber/anti-slop
Folder
skills/antislop-layoutmobile
License
MIT
GitHub stars
9,004
SKILL.md lines
171
Other files
0

Add antislop-layoutmobile to your agent

npx skills add miqdadbadjuber/anti-slop --skill antislop-layoutmobile

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

More skills from miqdadbadjuber/anti-slop

  1. antislop-copywriting

    Copy and text skill for antislop. Use when writing or editing prose: headlines, tone, CTAs, and anti-AI-writing patterns. Load with the core.

    74B
  2. antislop-ui

    UI and visual skill for antislop. Use when building or editing any interface: color, layout, components, motion, and page performance. Load with the core.

    74B
  3. antislop

    Anti Slop: Rules for AI Coding Agents. The core filter. Load always to stop generic AI slop.

    72B
  4. antislop-human

    Human and accessibility skill for antislop. Contrast, keyboard, focus, states, and interaction affordances for real people. Includes the contrast checker.

    72B
  5. antislop-code

    Code comment hygiene for AI coding agents: remove generic AI-slop comments, keep the valuable ones, never touch the code.

    64C

All skills in miqdadbadjuber/anti-slop

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.