anti-slop
Skill2 starsChanged 3 days agoMITView on GitHub
The most important rule - AI slop is forbidden. Before delivering anything (text, design, code, copy, video scripts, data), check it for anything that is or could look like generic AI output, and tell the user explicitly what you found. Use on every deliverable, and whenever the user asks to review something for "AI look", "slop", "sounds like ChatGPT", "generic" or "template-y".
32 other projects use a version of this.
Adopted by
Most recently taken up by
- MishraShardendu22/agent-skills-hub-sync-enginetheir own version, first seen Nov 8, 2026
- TheVeller/claude-skillstheir own version, first seen Nov 8, 2026
- a7garden/anti-sloptheir own version, first seen Nov 8, 2026
- umfhero/skillstheir own version, first seen Nov 8, 2026
- Vumb-VibeCoder/hook-everythingtheir own version, first seen Nov 8, 2026
- adeonir/agent-skillstheir own version, first seen Nov 6, 2026
Used with
Projects with it also use research.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkillresearch
Before designing a feature, research how comparable libraries solve the problem, check best practices, known pitfalls, and upstream changes. Use when starting a new feature, investigating an unfamiliar area, or the user asks to research something.
Also in 3 projects that use this
Other versions32 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 32
- elithrar/dotfiles★ 222same name
- Gesso-Build/skills★ 91same name
- roedyrustam/vibes-plug★ 75same name
- Tom-Babb/ai-marketing-skills-with-by-tom-babb★ 30same name
- Vumb-VibeCoder/hook-everything★ 19same name
- aixarizzo/kill-slop★ 17same name
- darknecrocities/SkillBuilder★ 13same name
- HyunjunJeon/claude-workflow-mods★ 9same name
- taljeon/plzdo★ 9same name
- YuliangXiu/de-ai-router★ 9same name
22 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository6 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- handoffSkill
- skill-profilesSkill
- weekly-updateSkill
- youtube-scriptwritingSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 31 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
If something might be or look like slop, say so: Never ship it silently. Tell the user what it is, why it reads as slop, and what you did …
- Distinctive: line 23
If you checked and found nothing, say nothing (no ceremony).
- Distinctive: line 35
Default look: purple/blue gradient hero, centered everything, three identical cards, emoji or generic icon sets as illustrations, …
- Distinctive: line 36
Default fonts and spacing with no hierarchy.
“Common” is measured: kept by at least 6 in 10 of the 31 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Anti-slop (rule #1)
AI slop is forbidden. Slop = output that looks mass-produced: generic, padded, templated, unverifiable, made without real judgment. Readers spot it in seconds and it destroys trust in everything around it.
Two obligations, always:
- Don't produce it. Make specific, intentional, verifiable things.
- If something might be or look like slop, say so. Never ship it silently. Tell the user what it is, why it reads as slop, and what you did or propose to fix it.
How to apply (before every deliverable)
- Re-read your own output as a skeptical stranger. Scan the checklist below.
- Fix what you can without losing the user's intent.
Report. End the deliverable with one short block, only if there is something to report:
Possible AI-slop:
<what>in<where>— looks generic because<reason>. Fixed:<yes/how>/ Proposal:<fix>. Want me to redo it?If you checked and found nothing, say nothing (no ceremony). If you can't avoid placeholder or generic content (for example, a draft with sample copy), label it clearly as a placeholder.
Checklist
Text and copy
- Stock openers/closers: "In today's fast-paced world", "Let's dive in", "In conclusion", "I hope this helps", "Unlock the power of", "game-changer", "seamless", "elevate", "delve", "tapestry", "landscape".
- Rhythm tells: everything in threes, staccato fragment stacks, reveal bridges ("Here's the thing:"), performed sincerity, rhetorical questions as filler, em dashes everywhere, emoji storms.
- Vague claims with no source, number or example. Invented stats, testimonials, reviews, client names, results: absolutely forbidden.
- Padding: restating the question, summarizing what was just said, hedging every sentence.
- Same structure and tone across several pieces (templated variety).
Design and UI
- Default look: purple/blue gradient hero, centered everything, three identical cards, emoji or generic icon sets as illustrations, glassmorphism/blur on everything, stock gradient blobs.
- Default fonts and spacing with no hierarchy; no real brand decisions; lorem-ipsum-grade copy.
- Layouts that could be any company's: swap the logo and nobody would notice.
- Fake social proof (logos, avatars, "10,000+ users") that doesn't exist.
Code
- Abstractions nobody asked for, comments that restate the code, boilerplate "for later", unused dependencies, over-defensive error handling around impossible cases, placeholder TODOs left in.
- Invented APIs/flags/options. Verify against docs (context7) instead of trusting memory.
- Claiming it works without running it.
Media, video, audio
- Generic stock-voice narration, filler b-roll, scripts that open with "Hey guys, today we're going to talk about".
Data and claims
- Any number, quote, source or result you didn't get from a real source or the user. If unverifiable: remove it, or flag it.
When asked to review someone's content
List each suspected slop item with the exact quote/location, why it reads as slop, and a concrete rewrite. Be direct, not polite-vague.
Related skills
humanizer (rewrite AI-sounding prose), design-taste-frontend (anti-generic UI), verification-before-completion (don't claim unverified results).
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

