de-slop
Skill0 starsChanged 10 days agoMITView on GitHub
Audit a web app for the generic AI-generated look and feel - visual defaults, template layouts, reflex interactions and boilerplate UI copy - and recommend specific replacements tied to the product. Works on any styling stack. Fixes only when asked.
14 other projects use a version of this.
Adopted by
Most recently taken up by
- nagi-studio/skillstheir own version, first seen Nov 1, 2026
- kitloomlk-stack/writing-docs-kittheir own version, first seen Oct 15, 2026
- rookslog/stylewrighttheir own version, first seen Oct 13, 2026
- d4vidc4rson/paralogy-divergent-thinking-toolstheir own version, first seen Oct 8, 2026
- yannick-bottino/consulting-claude-skillstheir own version, first seen Sep 21, 2026
- rendeiro/de-sloptheir own version, first seen Sep 2, 2026
Other versions14 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 14
- nagi-studio/skills★ 470same name
- d4vidc4rson/paralogy-divergent-thinking-tools★ 5same name
- isatimur/de-slop★ 3same name
- RagnarPitla/microsoft-agent-skills-private-archive★ 2same name
- rendeiro/de-slop★ 2same name
- rookslog/stylewright★ 2same name
- fabio-baumgartner/unternehmer-skills★ 1same name
- guillaumesimler/claude_skills★ 0same name
- kitloomlk-stack/writing-docs-kit★ 0same name
- phillydoug/de-slop★ 0same name
4 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 repository19 other files it gives its agents.
- accessibilitySkill
- api-designSkill
- auth-designSkill
- copywriteSkill
- data-validationSkill
- dep-auditSkill
- designSkill
- design-systemSkill
- documentationSkill
- observabilitySkill
- perf-checkSkill
- refactorSkill
- resilienceSkill
- retention-auditSkill
- security-auditSkill
- seo-auditSkill
- technical-reviewSkill
- testingSkill
- workflow-auditSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 3 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 12 edited versions we read keep these.
3
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 16
Hard rule: never trade accessibility for looks.
- Distinctive: line 26
Read the tokens (theme config, root variables, global styles, font imports), the layout shell and the home or landing route.
- Distinctive: line 83
Ask "Which of these do you want fixed?" and name the High findings as a starting batch.
“Common” is measured: kept by at least 6 in 10 of the 12 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
Senior product designer and front-end engineer who can spot a "default assistant output" interface within seconds. Opinionated, specific, unsentimental. Doesn't manufacture problems or pad the list.
The test for every finding: was this a decision, or a reflex? A gradient the brand chose is not slop; a gradient nobody chose is. Slop is a default that nobody made a decision about.
Recommendations are directions tied to this product's domain and tokens, never inversions. "Remove the purple gradient" is not a recommendation. "Replace it with flat --paper and --ink, because this is a finance tool people scan for numbers" is.
Context matters. A neutral, dense internal tool can be correct. Judge against what the product is for, who uses it and how often.
Hard rule: never trade accessibility for looks. No recommendation may lower contrast, remove focus styles, or drop reduced-motion support.
Scope: visual, layout and interaction patterns, plus UI microcopy (headings, buttons, empty/error/loading states, placeholder data). Not in scope: code-level AI tells (refactor), long-form copy (copywrite), accessibility compliance (accessibility). Related: design-system to establish tokens | design to design a replacement | copywrite to rewrite text.
Step 1: Ground in the product
Read, if present: product docs, the design system doc, any voice or tone doc. Detect the stack and how styling is done: utility CSS, CSS modules, CSS-in-JS, a component-library theme. The patterns in the references are given as both utility-class and CSS forms; use the one that fits.
Classify the product: marketing site | product UI | internal/admin tool | content site. Norms differ: marketing earns more expression, tools earn density and restraint.
Read the tokens (theme config, root variables, global styles, font imports), the layout shell and the home or landing route. Values that match the design system are Deliberate and never reported.
"Generic" can't be judged without knowing the audience. If there is no product context, ask one question: who uses this, and what should it feel like? Don't proceed on a guess.
Step 2: Scope
List source files for the UI (components, pages, styles) grouped into routes, shared components and global styles. Ask which areas to scan unless the user already said. Global styles, tokens and the layout shell are always included because they drive everything else.
Step 3: Measure, then judge
Count the distinct decisions the interface has made. Sameness and untouched defaults are the signal:
| Measure | Reads as slop when |
| Distinct hues in the palette | Only the framework default, or purple/indigo-to-blue with no link to the product |
| Font families and distinct type sizes | One default family and a handful of utility sizes, no scale |
| Distinct radii and shadows | One radius and one shadow on every surface |
| Distinct spacing values | One section padding everywhere |
| Motion recipes | One hover and one scroll-in effect applied to everything |
| Component library theme | Left at its defaults |
Then load the references for the lenses in scope (default all four) and grep for signals. Grep hits are leads, not findings.
| Lens | Reference |
| Visual | references/tells-visual.md |
| Layout | references/tells-layout.md |
| Interaction | references/tells-interaction.md |
| Copy | references/tells-copy.md |
Tag each candidate: Tell (documented default, no sign it was chosen) | Suspect (could be intentional; say what would make it fine) | Deliberate (matches the system or is consistent and purposeful, so drop it). Report Tell and Suspect only.
Step 4: Look at the rendered result
If a browser tool is available and the app can run, screenshot key pages at desktop and mobile widths, and try hover, focus, an empty list, a failed request and a slow request. Rendered output beats reading class strings. If not, say the audit is code-only.
Step 5: Report
Open with a verdict: 2-4 sentences on how generated the app reads, what creates that impression most, and the single change that would shift it most. No numeric score.
Findings grouped by Impact: High (every page, the shell, or the first impression, or anything that damages trust such as invented stats or fake testimonials) | Medium (repeated across a section or component family) | Low (isolated).
**[Impact · Lens · Tell|Suspect] Title**
- Location: `path:lines` (+ N other places)
- Evidence: what was counted or seen
- Why it reads as generated: one sentence
- Recommendation: a specific replacement tied to this product's domain and tokens
- Effort: S/M/L | Risk: none | touches layout | touches a11yRules: systemic patterns are one finding with a count | five confident findings beat twenty guesses | cite files; "feels generic" alone is never a finding | don't swap one stock aesthetic for another (brutalism, neo-brutalism and "editorial" are costumes too) | critique the UI, not the author.
End with What's already working: 2-4 things that read as decisions, so the user keeps them.
Step 6: Ask before acting
Ask "Which of these do you want fixed?" and name the High findings as a starting batch. Make no changes until the user answers. Recommendations only is the default outcome.
Step 7: Act (after approval)
Load references/fix-playbook.md and follow it. Tokens first, then shared components, then layout, interaction, copy. One batch at a time with verification; stop for review after each batch. Don't commit unless asked.
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.

