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Anti-slop coding

You want agent-written code cleaned before it reaches review.

Teach your agent skilld

npx skilld install skilld --global
Adds the skilld Skill to your agent for every project.

7 skills

Hand-picked anti-slop coding skills

Seven skills for reviewing and removing AI-generated code slop, kept in the order shared in the anti-slop coding list from August 2026.

  1. /install-anti-slop

    Install, configure, update, or upgrade vendored anti-slop Oxlint plugins. Use when adding anti-slop, picking up upstream rules or fixes, or migrating an existing installation while preserving local customizations.

    5.5k GitHub stars
  2. Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.

    11k GitHub stars
  3. /deslop

    Remove AI-generated code slop from the current branch. Use after writing code to clean up unnecessary comments, defensive checks, and inconsistent style.

    377 GitHub stars
  4. /deslop

    Remove AI-generated code slop and clean up code style

    11k GitHub stars
  5. /deslop

    Remove AI-generated code slop from a branch. Use when cleaning up AI-generated code, removing unnecessary comments, defensive checks, or type casts. Checks diff against main and fixes style inconsistencies.

    33k GitHub stars
  1. /docs

    Multi-language codebase health scanner. Use when the user explicitly asks to run desloppify, scan for technical debt, get a health score, or create a cleanup plan. Do NOT trigger for general code review, renaming, or fixing individual bugs.

    3.2k GitHub stars
  2. /code-slop

    Detect AI-generated code patterns ("slop") in PHP/Laravel and TypeScript/React source — comment narration, generic naming, premature interfaces, defensive overdose, mock-everything tests, and the absence of human "scars". Use when reviewing AI-assisted PRs, auditing code for taste/quality (not metrics — that's technical-debt), or hardening a code-review checklist. Triggers on "review for AI slop", "find AI patterns", "check code feels human", "audit code-quality taste".

    89 GitHub stars

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