Brand and Design Toolkit
nextlevelbuilder/ui-ux-pro-max-skill
Bundles design tasks behind one skill: brand identity, tokens, UI styling, logos, corporate identity mockups, slides, banners, icons and social images.
Opt-in, paid brand board for a new site with no existing brand: confirm count, backend and cost, generate one 3x3 board (logo concept, palette, type, image direction) with pi-nano-banana plus a…
Install Anti Slop Brandkit
$ npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-brandkit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-brandkit --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-brandkit .claude/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .claude/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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-brandkitType 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-brandkit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-brandkit --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-brandkit .agents/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .agents/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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-brandkit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-brandkit --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-brandkit .cursor/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .cursor/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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-brandkit--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-brandkit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install BlackBeltTechnology/pi-agent-dashboard anti-slop-brandkit --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-brandkit .gemini/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .gemini/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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-brandkitInstalls 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-brandkit -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-brandkit .github/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .github/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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-brandkit -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-brandkit --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-brandkit .opencode/skills/anti-slop-brandkit && 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-brandkit" agent skill from https://github.com/BlackBeltTechnology/pi-agent-dashboard/tree/develop/packages/anti-slop/.pi/skills/anti-slop-brandkit into .opencode/skills/anti-slop-brandkit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "anti-slop-brandkit", 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.
Facts
- Skill name
anti-slop-brandkit- GitHub stars
- 315
- Token cost
- ~1.3k tokens
- SKILL.md length
- 625 words
- Files
- 1
- Skills in repo
- 70
- Repo updated
- First seen
- Licence
- MIT
At a glance
Opt-in, paid brand board for a new site with no existing brand: confirm count, backend and cost, generate one 3x3 board (logo concept, palette, type, image direction) with pi-nano-banana plus a…
- Works in 3 steps: Plan, then confirm → Generate → Brief → brand.md
- Tasks that involve Humanizing AI text
- SKILL.md covers When it applies, Proposal, not identity, Procedure and Fallback, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Anti Slop Brandkit is an agent skill from BlackBeltTechnology/pi-agent-dashboard. Opt-in, paid brand board for a new site with no existing brand: confirm count, backend and cost, generate one 3x3 board (logo concept, palette, type, image direction) with pi-nano-banana plus a written brand.md. A proposal for the user to approve, never an auto-applied identity. Triggers: "make a brand kit", "brand board for this new site", "propose a visual identity".
Its SKILL.md is about 1.3k 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 Writing & Content, covering Humanizing AI text, Logo and visual identity and Brand strategy and identity. It works with Google Gemini. 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.
When your agent uses it
- Tasks that involve Humanizing AI text
- Tasks that involve Logo and visual identity
- Tasks that involve Brand strategy and identity
Example prompts
- “make a brand kit”
- “brand board for this new site”
- “propose a visual identity”
- “/anti-slop-brandkit”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 7a2d171. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Anti Slop Brandkit loads about 1.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 625 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from BlackBeltTechnology/pi-agent-dashboard at commit 7a2d171, republished under its MIT licence (© BlackBeltTechnology). 625 words, ~1,288 tokens.
Download SKILL.mdSave it as
.claude/skills/anti-slop-brandkit/SKILL.md (or your agent's skills folder).- name
- anti-slop-brandkit
- description
- Opt-in, paid brand board for a new site with no existing brand: confirm count, backend and cost, generate one 3x3 board (logo concept, palette, type, image direction) with pi-nano-banana plus a written brand.md. A proposal for the user to approve, never an auto-applied identity. Triggers: "make a brand kit", "brand board for this new site", "propose a visual identity".
- license
- MIT
- metadata.author
- blackbelt-technology
- metadata.version
- 0.1
- metadata.adapted_from
- Leonxlnx/taste-skill@18dfc92 (brandkit, MIT), reduced to a proposal-only board behind a paid-generation confirm. Section map: packages/anti-slop/UPSTREAM.md.
anti-slop-brandkit
A site with no brand gets a generic one by default: purple gradient, Inter, a letter-in-a-circle logo. This skill proposes a deliberate starting identity instead. The output is a proposal: a board image plus a written brief that the user approves before anything enters the project.
Authority: advisory. Findings feed the frontend-mockup-loop FIX step and never override a WCAG-AA or severity gate. A proposed palette that fails AA contrast is fixed in the brief, not defended.
When it applies
All of these must hold, otherwise generate nothing:
- The declared profile (
anti-slop-frontendDesign Read) isnew-site. - The project has no existing brand assets (logo, palette, type). With a
brand, use
anti-slop-redesigninstead. - Explicit request: the user asked for a brand kit / board.
- The user confirmed the plan in step 1.
Proposal, not identity
- Never write brand values into project tokens or UI contracts before the user
approves
brand.md. Output lands in the mockup folder only. - After approval, frontend-mockup-loop CONTRACT (
init_ui_contract) adopts the values; this skill never edits token files itself. - Logos are labelled concepts, never final marks. The board and
brand.mdboth say "logo concept".
Procedure
Image generation uses the same runner, backends, headless rule and fallback
as anti-slop-image-direction (read its "Images are experimental" section for
how to resolve $NB).
1. Plan, then confirm
- Resolve
<mockupDir>exactly asanti-slop-image-directiondoes. - Write the strategy first, in three lines: what the product does, for whom, and the one feeling the brand must carry.
- Confirm with
ask_user, stating: the image count (1 board unless the user asks for variants), the backend (geminiorpi), and that generation is paid. No confirmation → generate nothing. - A backend change requires a new confirmation; never switch the backend silently.
- Headless rule: if the
ask_usertool is absent from your tool list, the run is headless: generate nothing and write the text-only brief.
2. Generate
One board image per confirmed count (default 1), each a 3×3 panel layout in a single image, each written to its own numbered file so variants never overwrite each other:
| logo concept | logo construction | digital application |
| brand essence | colour system | typography |
| physical application | image direction | system detail |
$NB "<board prompt>" --output <mockupDir>/brand/board-<nn>.png # nn = 01..countThe prompt carries the strategy lines, the Part A bans (no purple/violet glow, no neon gradient, no pure black / pure white, no Inter as the default face, no em-dashes in rendered text), and describes any wording instead of quoting it. Text visible in the board is a placeholder and is never transcribed.
Show full SKILL.md (215 more words)Show less
3. Brief → brand.md
Write <mockupDir>/brand/brand.md:
- Palette: neutral ramp + one accent, as hex, each pair checked for WCAG-AA text contrast.
- Type pairing: display + text family, with the reason (not Inter or a
banned serif by default,
anti-slop-frontendA2). - Logo concept rationale: the concept method (monogram, product action, metaphor, negative space, construction geometry) and what it means.
- Image direction: one line on photography / illustration style.
- Observed tells in the board, excluded from the brief.
Fallback
When the runner is not resolvable or the backend has no usable credentials:
report the reason in one line, write brand.md text-only (palette, type
pairing, logo concept rationale in words) using the variation axes section of
anti-slop-image-direction for the image-direction line, and continue. Do not
fail the task. A headless run or a declined confirmation produces the same
text-only brand.md.
Pitfalls
- Do NOT run for
marketingorproduct-ui, or when a brand already exists. - Do NOT present a generated logo as final, or vectorise it unasked.
- Do NOT edit
index.css, a tokens file orui-contract.md.
Verification
- Profile
new-site, no existing brand, explicit request. - The confirmation (count, backend, paid) precedes the board.
brand/holds exactly the confirmed number ofboard-<nn>.pngfiles.brand.mdhas palette hex with contrast notes, type pairing, logo concept rationale and image direction.- Project tokens and UI contracts are unchanged.
© BlackBeltTechnology, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in packages/anti-slop/.pi/skills/anti-slop-brandkit of BlackBeltTechnology/pi-agent-dashboard.
Open the folder on GitHubat commit 7a2d171
Compare with similar skills
Anti Slop Brandkit 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 Brandkit this skillBlackBeltTechnology/pi-agent-dashboard | 315 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill | 135k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Logo Generatorop7418/logo-generator-skill | 2.2k | — | ~1.8k | Automated safety check: Notes | None | |
| Gemini Image Generatordair-ai/dair-academy-plugins | 614 | 2 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Generate Youtube Thumbnailkrusemediallc/arcads-claude-code | 1.6k | — | ~2.4k | Automated safety check: Notes | MIT | |
| Brand Design Skillziguishian/brand-design-skill | 155 | — | ~4.4k | Automated safety check: Pass | None |
Similar skills
Logo Generator
op7418/logo-generator-skill
Generate professional SVG logos and high-end showcase images.
Gemini Image Generator
dair-ai/dair-academy-plugins
Generates and edits images with Google's Gemini Nano Banana Pro model through the Gemini API, including photo edits and multi-image composition.
Generate Youtube Thumbnail
krusemediallc/arcads-claude-code
Generate high-CTR YouTube thumbnails using Nano Banana 2 via the Arcads external API.
Brand Design Skill
ziguishian/brand-design-skill
Drive a strict conversational, image-first and image-final brand identity design process.
Design Master
minhnv0807/ai-business-skills
Handles eight kinds of marketing visual requests, from logos and campaign key visuals to infographics and quote graphics, by generating images or writing paste-ready prompts.
More from BlackBeltTechnology/pi-agent-dashboard
All 70 skills in this repoBrowser
BlackBeltTechnology/pi-agent-dashboard
Browser automation via the agent-browser CLI. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
CI Troubleshoot
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…
Debug Dashboard
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.
Implement
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.
Pi Dashboard
BlackBeltTechnology/pi-agent-dashboard
Monitor and control the pi-dashboard server. An agent skill from BlackBeltTechnology/pi-agent-dashboard.
Session To Guideline
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…
Related
Works with
Categories
Questions about Anti Slop Brandkit
What does Anti Slop Brandkit do?
Opt-in, paid brand board for a new site with no existing brand: confirm count, backend and cost, generate one 3x3 board (logo concept, palette, type, image direction) with pi-nano-banana plus a…. Anti Slop Brandkit is an agent skill from BlackBeltTechnology/pi-agent-dashboard.md.
When should I use Anti Slop Brandkit?
Anti Slop Brandkit fits situations like: tasks that involve Humanizing AI text; tasks that involve Logo and visual identity; tasks that involve Brand strategy and identity.
How do I install Anti Slop Brandkit in Claude Code?
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-brandkit -a claude-code`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-brandkit in BlackBeltTechnology/pi-agent-dashboard) into .claude/skills/anti-slop-brandkit in your project. Claude Code loads it when a task matches its description.
How do I install Anti Slop Brandkit in Codex?
Run `npx skills add BlackBeltTechnology/pi-agent-dashboard --skill anti-slop-brandkit -a codex`. Or copy the skill folder (packages/anti-slop/.pi/skills/anti-slop-brandkit in BlackBeltTechnology/pi-agent-dashboard) into .agents/skills/anti-slop-brandkit in your project. Codex loads it when a task matches its description.
Can I use Anti Slop Brandkit in Cursor, Gemini CLI or GitHub Copilot?
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-brandkit -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-brandkit, .gemini/skills/anti-slop-brandkit, .github/skills/anti-slop-brandkit and .opencode/skills/anti-slop-brandkit in your project.
What does Anti Slop Brandkit need to run?
SKILL.md names no scripts, command-line tools or credentials: Anti Slop Brandkit is instructions for the agent only.
Does Anti Slop Brandkit access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Anti Slop Brandkit safe to install?
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.
What licence does Anti Slop Brandkit use?
Anti Slop Brandkit is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Anti Slop Brandkit use?
About 1.3k tokens (SKILL.md is roughly 5.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Anti Slop Brandkit?
Skills that share tags, products or a category with Anti Slop Brandkit: Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Logo Generator (op7418/logo-generator-skill, 2.2k stars), Gemini Image Generator (dair-ai/dair-academy-plugins, 614 stars) and Generate Youtube Thumbnail (krusemediallc/arcads-claude-code, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Anti Slop Brandkit?
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.