Extract Design
Manavarya09/design-extract
Extract the full design language from any website URL. An agent skill from Manavarya09/design-extract.
A mechanical, countable anti-slop checklist for AI-generated frontend.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .claude/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .claude/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontendType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .agents/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .agents/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .cursor/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .cursor/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/BlackBeltTechnology/pi-agent-dashboard.git --path packages/anti-slop/.pi/skills/anti-slop-frontend--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .gemini/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .gemini/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontendInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .github/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .github/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-frontend --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboard.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/anti-slop/.pi/skills/anti-slop-frontend .opencode/skills/anti-slop-frontend && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "anti-slop-frontend" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-frontend into .opencode/skills/anti-slop-frontend/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-frontend", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
anti-slop-frontendA mechanical, countable anti-slop checklist for AI-generated frontend.
Anti Slop Frontend is an agent skill from BlackBeltTechnology/pi-agent-dashboard. A mechanical, countable anti-slop checklist for AI-generated frontend. Catches the specific signatures an undirected model defaults to: AI-purple glows, Inter-everywhere, em-dashes, div-based fake screenshots, eyebrow-on-every-section, beige+brass "premium" palettes, generic Jane Doe / Acme data. Advisory layer that pairs with frontend-mockup-loop (which owns the cite-a-source loop plus WCAG gates) but works standalone in any React/Tailwind/HTML project. Triggers: "does this look AI-generated", "anti-slop pass"…
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Frontend & Design, covering Humanizing AI text, Accessibility and CSS and styling. It works with React and Tailwind CSS. The repository describes itself as: Real-time web dashboard for pi coding-agent sessions. Multi-session view, live chat mirroring, integrated terminal, diff viewer, pi-flows execution, and mobile-first remote… The licence is MIT.
Read from SKILL.md and the folder at commit 7a2d171. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
github.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Anti Slop Frontend loads about 4.8k tokens when it runs. Until then it costs about 154 tokens; SKILL.md has 2,376 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from BlackBeltTechnology/pi-agent-dashboard at commit 7a2d171, republished under its MIT licence (© BlackBeltTechnology). 2,376 words, ~4,780 tokens.
.claude/skills/anti-slop-frontend/SKILL.md (or your agent's skills folder).A flat, mechanical checklist of the concrete signatures an undirected model emits when it tries to "look designed." Every rule here is countable or binary - you can mechanically verify pass/fail, not argue taste. That is the whole point: "it looks better" is not a check; "eyebrow count > ceil(sections/3)" is.
frontend-mockup-loopDifferent jobs, intentionally separate:
| frontend-mockup-loop | anti-slop-frontend (this) | |
|---|---|---|
| Shape | ground→contract→mockup→test→fix→learn loop | flat checklist |
| Basis | cite an external public rule (Nielsen, WCAG, Laws of UX) | codified AI-tell catalog |
| Authority | owns the hard gates (WCAG-AA, severity-4) | advisory only, drives the fix list |
| Domain | product UI, dashboards, flows | universal tells + marketing-surface tells |
When both are present: the loop's a11y floor and cite-a-source rule win. This skill feeds concrete failing items into the loop's FIX step. It never overrides a gate, and a tell here is never a reason to violate a cited rule.
Authority: advisory. Findings feed the frontend-mockup-loop FIX step and never override a WCAG-AA or severity gate. When a recommendation conflicts with a gate result, the gate result stands and the recommendation is recorded as overridden.
| Skill | Use for |
|---|---|
anti-slop-frontend (this) | review or generate any surface; the tell catalog |
anti-slop-redesign | change an existing surface (mode, audit, levers, protected list) |
anti-slop-image-direction | opt-in reference images for marketing / new-site |
anti-slop-brandkit | opt-in brand board for a new-site with no brand |
Honesty note: these rules are curated taste, hardened into countable form. They are good defaults, not laws of nature. Every rule has an override path: when the brief explicitly asks for the "banned" thing, it is allowed - execute it with intent, not by accident.
Before reviewing or generating, state ONE line:
Design Read: <profile> · <audience> · <mood> · VARIANCE <n> / MOTION <n> / DENSITY <n>Example: Design Read: marketing · technical buyers · calm, precise · VARIANCE 4 / MOTION 3 / DENSITY 5.
Audience and mood are declared context, not checks. The profile is the switch that decides which rule groups fire:
| Profile | Part A | Part B | Layout discipline (B7) | Redesign default | Image direction |
|---|---|---|---|---|---|
product-ui | ✓ | ✗ | ✗ | preserve | forbidden |
marketing | ✓ | ✓ | ✓ | preserve | opt-in |
new-site | ✓ | ✓ | ✓ | greenfield | opt-in |
product-ui: dashboards, admin panels, data tables, editors, wizards, any
app screen.marketing: an existing landing / portfolio / about / docs-home page.new-site: a site with no shipped design yet.Never infer the profile silently. An undeclared profile is how marketing rules leak into dense UI. If the brief is ambiguous, ask exactly one question. A review or generation reported without a Design Read fails Verification.
State these before reviewing or generating. They gate which rules fire and how hard.
VARIANCE (1-10) - 1 = perfect symmetry, 10 = artsy chaosMOTION (1-10) - 1 = static, 10 = cinematic/physicsDENSITY (1-10) - 1 = art-gallery airy, 10 = cockpit/packed-dataInfer from the brief; don't silently use a baseline. Dashboards/data UI live high on DENSITY and low on VARIANCE/MOTION. Landing/portfolio live the opposite.
These fire regardless of surface kind. A dense admin panel is just as guilty of AI-purple and Inter-everywhere as a landing page.
#000000 / pure #ffffff. Off-black (zinc-950) and off-white;
pure values kill depth.— and zero –-as-separator anywhere visible. Headlines, labels,
pills, body, quotes, attribution, captions, buttons, alt text. No "sparingly."
Replace with a period, comma, colon, parentheses, line break, or a spaced
hyphen -. Ranges use a plain hyphen (2018-2026, €40-80k).—/–. Any hit = fail.99.99%, 50%, 1234567 → organic values
(47.2%, real-looking phone formats). Fake-precise engineering specs
(5.8mm, 4.1×) are banned unless from real data or labeled mock.<div>s is the single biggest tell. Use a real screenshot, a
generated image, a real mini component preview, or nothing.picsum.photos/seed/{descriptive}/{w}/{h} or
generated assets, never dead Unsplash URLs.MOTION > 4, the page actually moves; if
you can't ship working motion, drop the dial and ship clean static.window.addEventListener('scroll', …) and React-state
scroll/rAF loops. Use scroll-driven CSS, IntersectionObserver, or a motion
library's scroll primitives.MOTION 3.z-* / z-index value comes from one
documented layer scale (e.g. base, sticky, dropdown, overlay, modal, toast).
Mechanical check: count distinct z-index values in the diff; any value not in
the project's scale = fail. z-[9999] / z-50 sprinkled to "win" a stacking
fight is the tell.pointer-events-none layers,
never on a scrolling container (continuous repaint).transform and opacity. Animating top / left /
width / height = fail.<div>s to
place one element is flagged; flatten with grid/flex on the parent.Skip Part B entirely for dashboards, data tables, wizards, editors, product UI. These rules govern hero-driven marketing pages, where the model's worst templating habits live.
pt-24 desktop (content must not float mid-viewport).V0.6, BETA, INVITE-ONLY) unless the brief is a launch.text-[11px] uppercase tracking-[0.18em]).uppercase tracking micro-labels above headlines; fail if > ceil(sections/3).00 / INDEX, 001 · Capabilities, 06 · how it works). The section's position already categorizes it.BRAND. MOTION. SPATIAL.).LIS 14:23 · 18°C) unless the
brief is genuinely place- or timezone-focused.Scroll, ↓ scroll, Scroll to explore).v1.4.2, Build 0048, last sync 4s ago) on
marketing pages - those are devtool fixtures.· is rationed (max 1 per metadata line; not the default
separator for everything).Field study no. 12 · Ines Caetano) on stock/placeholder images.border-t + border-b on every row of a long list/spec table. Long
lists (>5 items) use a real component (grouped chunks, card grid, tabs,
scroll-snap), not a hairline-per-row <ul>.marketing / new-site only)A change must hold in every theme the project ships, not only the default. Each item is pass/fail. Human visual judgment of the screenshots is a non-gating note: record it, it never fails the review.
Count #hex, rgb(, rgba(, hsl(, hsla( on added lines only (the
+ lines of the change's diff) in shipped UI source
(*.tsx|*.jsx|*.css|*.html|*.vue|*.svelte). Any hit = fail; use a theme
token instead.
Excluded: tests, fixtures, stories, *.svg, and the token-definition files
themselves (the files that declare the tokens).
Diff-scoped command (adjust the base ref):
git diff -U0 origin/main...HEAD -- '*.tsx' '*.jsx' '*.css' '*.html' '*.vue' '*.svelte' \
':!**/__tests__/**' ':!**/*.test.*' ':!**/*.spec.*' ':!**/fixtures/**' ':!**/*.stories.*' \
| grep -E '^\+[^+]' | grep -nE '#[0-9a-fA-F]{3,8}\b|rgba?\(|hsla?\('Also exclude your token-definition files with extra ':!<path>' entries.
product-ui)product-ui: three screenshots: the default theme in dark, the default
theme in light, and one non-default palette. A missing non-default palette
screenshot = fail.marketing: screenshots in light and dark, both recorded in the review.new-site: one screenshot per shipped mode.The rules below can be checked by string-search, not judgment. Run them last.
— / –-as-separator in rendered output (A3).addEventListener('scroll'); reduced-motion present (A7).If a box can't be honestly ticked, it's a flagged item - feed it to the fix step.
Adapted from Leonxlnx/taste-skill
(design-taste-frontend, MIT) at commit 18dfc92 (2026-10-08); the
per-section map lives in packages/anti-slop/UPSTREAM.md. This is a distillation of its countable rules:
stack-coupling (Next RSC / Motion / GSAP / next/font) removed, rules re-scoped
into universal vs marketing-only, and reframed as an advisory catalog that pairs
with - never overrides - frontend-mockup-loop's cite-a-source loop and hard
gates. Original taste, original author's eye; full prose corpus and GSAP code
skeletons live in the upstream repo.
© BlackBeltTechnology, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in packages/anti-slop/.pi/skills/anti-slop-frontend of BlackBeltTechnology/pi-agent-dashboard.
Open the folder on GitHubat commit 7a2d171
Anti Slop Frontend next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Anti Slop Frontend this skillBlackBeltTechnology/pi-agent-dashboard | 315 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Extract DesignManavarya09/design-extract | 4.2k | — | ~786 | Automated safety check: Notes | MIT | |
| Frontend UI FunctionalvictorGPT/vibeusage | 130 | — | ~939 | Automated safety check: Pass | MIT | |
| Audit AI Frontendjxnl/personal-monorepo-template | 563 | — | ~1.3k | Automated safety check: Pass | None | |
| Shift UI Componentsshift-editor/shift | 350 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Light Frontend DesignLight0305/Light-skills | 640 | — | ~3.1k | Automated safety check: Pass | MIT |
Manavarya09/design-extract
Extract the full design language from any website URL. An agent skill from Manavarya09/design-extract.
victorGPT/vibeusage
A skill your agent uses when building or refactoring functional React/Vite/Tailwind UI pages, templates, or component libraries that need consistent structure, tokenized styling, accessibility…
jxnl/personal-monorepo-template
Audit AI-generated, AI-shaped, or AI-looking frontend code, UI screenshots, and design diffs.
shift-editor/shift
Guides design, implementation and review of Shift interface work: shared Base UI wrappers, Tailwind v4 theme tokens, Figma matching and accessible interaction states.
Light0305/Light-skills
Light 按需工程技能·前端设计:把模糊的「做个好看的界面」落成能跑的 React/Tailwind/shadcn 代码 + 设计决策说明—— 有视觉记忆点(signature element)、风格自洽(design tokens 一致)、适配场景(学术海报/数据大屏/管理后台/移动端/营销 landing 信息密度各不同)、反「一眼 AI」(紫蓝渐变/Inter/16px 圆角/巨型…
manor-os/manor-ai
Apply Manor's public contribution standards when creating, editing, or reviewing web UI, React or TSX components, CSS, Tailwind classes, layouts, forms, cards, dialogs, navigation, responsive…
BlackBeltTechnology/pi-agent-dashboard
Browser automation via the agent-browser CLI. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
BlackBeltTechnology/pi-agent-dashboard
Diagnose failed GitHub Actions runs for pi-agent-dashboard: the 11-file workflow taxonomy, affected-test selection, the release pipeline, known failure modes, and how to read gh run logs and…
BlackBeltTechnology/pi-agent-dashboard
Diagnose problems in the running pi-agent-dashboard system: server.log, /api/health, bridge WebSocket connectivity, vitest triage, known-issue FAQ entries.
BlackBeltTechnology/pi-agent-dashboard
Disciplined implementation in pi-agent-dashboard: the rebuild matrix (extension→reload, server→restart, client→build+restart, openspec-apply→full rebuild) plus the project's code discipline rules.
BlackBeltTechnology/pi-agent-dashboard
Monitor and control the pi-dashboard server. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
BlackBeltTechnology/pi-agent-dashboard
Turn a pi session into a Markdown "how-we-did-it" collaboration guideline: reads the session's JSONL transcript and synthesizes a reusable playbook of which prompts worked, what had to be steered…
Works with
Categories
A mechanical, countable anti-slop checklist for AI-generated frontend. Anti Slop Frontend is an agent skill from BlackBeltTechnology/pi-agent-dashboard. A mechanical, countable anti-slop checklist for AI-generated frontend.
Anti Slop Frontend fits situations like: tasks that involve Humanizing AI text; tasks that involve Accessibility; tasks that involve CSS and styling.
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a claude-code`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-frontend in BlackBeltTechnology/pi-agent-dashboard) into .claude/skills/anti-slop-frontend in your project. Claude Code loads it when a task matches its description.
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a codex`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-frontend in BlackBeltTechnology/pi-agent-dashboard) into .agents/skills/anti-slop-frontend in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-frontend -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/anti-slop-frontend, .gemini/skills/anti-slop-frontend, .github/skills/anti-slop-frontend and .opencode/skills/anti-slop-frontend in your project.
Going by SKILL.md and its folder, Anti Slop Frontend needs the command-line tools its instructions call (git).
SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Anti Slop Frontend is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Anti Slop Frontend: Extract Design (Manavarya09/design-extract, 4.2k stars), Frontend UI Functional (victorGPT/vibeusage, 130 stars), Audit AI Frontend (jxnl/personal-monorepo-template, 563 stars) and Shift UI Components (shift-editor/shift, 350 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
BlackBeltTechnology (a GitHub organization) maintains it in BlackBeltTechnology/pi-agent-dashboard, which has 315 GitHub stars. The repository holds 70 skills in this directory. The repository was last updated on October 10, 2026.
Source: BlackBeltTechnology/pi-agent-dashboard on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.