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.
Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system.
Install Logo Semantic Fusion
$ npx skills add ZSeven-W/craft-skills --skill logo-semantic-fusion -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZSeven-W/craft-skills logo-semantic-fusion --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/ZSeven-W/craft-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/logo-semantic-fusion .claude/skills/logo-semantic-fusion && 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 "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .claude/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusionType 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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZSeven-W/craft-skills logo-semantic-fusion --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZSeven-W/craft-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/logo-semantic-fusion .agents/skills/logo-semantic-fusion && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .agents/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZSeven-W/craft-skills logo-semantic-fusion --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZSeven-W/craft-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/logo-semantic-fusion .cursor/skills/logo-semantic-fusion && 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 "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .cursor/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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/ZSeven-W/craft-skills.git --path skills/logo-semantic-fusion--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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZSeven-W/craft-skills logo-semantic-fusion --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZSeven-W/craft-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/logo-semantic-fusion .gemini/skills/logo-semantic-fusion && 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 "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .gemini/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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 ZSeven-W/craft-skills logo-semantic-fusionInstalls 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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZSeven-W/craft-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/logo-semantic-fusion .github/skills/logo-semantic-fusion && 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 "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .github/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZSeven-W/craft-skills logo-semantic-fusion --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZSeven-W/craft-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/logo-semantic-fusion .opencode/skills/logo-semantic-fusion && 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 "logo-semantic-fusion" agent skill from https://github.com/ZSeven-W/craft-skills/tree/main/skills/logo-semantic-fusion into .opencode/skills/logo-semantic-fusion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logo-semantic-fusion", 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
logo-semantic-fusion- GitHub stars
- 225
- Used in
- 1 other repo
- Token cost
- ~1.7k tokens
- SKILL.md length
- 832 words
- Files
- 7 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system.
- Works in 3 steps: At least two distinct brand signals are… → A plausible shared contour, stroke,… → Fusion improves the brand idea without…
- Fusion-focused design
- SKILL.md covers Route the references, Choose one mode, Run the applicability gate and Establish the brief, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Logo Semantic Fusion is an agent skill from ZSeven-W/craft-skills. Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system. Use for fusion-focused design or redesign, critique, comparison, or prompt-only work on a logo, symbol, app icon, monogram, or wordmark. Do not use for generic logo creation, general identity systems, illustration, packaging, or type selection unless semantic fusion is a stated or clearly central requirement.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `README.en.md`, `README.md` and `agents/openai.yaml`).
It sits in Media & Creative, covering Logo and visual identity. The repository describes itself as: Research-backed, eval-driven skills for AI agents. The licence is Apache-2.0.
When your agent uses it
- Fusion-focused design
- Prompt-only work on a logo
- Generic logo creation
- General identity systems
Example prompts
- “/logo-semantic-fusion”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- At least two distinct brand signals are worth encoding.
- A plausible shared contour, stroke, void, glyph skeleton, or module system can carry them.
- Fusion improves the brand idea without sacrificing required-script legibility, category trust, or recognition at the intended scale.
What it can do on your machine
Read from SKILL.md and the folder at commit 01c8ffe. 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.
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
Logo Semantic Fusion loads about 1.7k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 131 tokens; SKILL.md has 832 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 ZSeven-W/craft-skills at commit 01c8ffe, republished under its Apache-2.0 licence (© ZSeven-W). 832 words, ~1,681 tokens.
Download SKILL.mdSave it as
.claude/skills/logo-semantic-fusion/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- logo-semantic-fusion
- description
- Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system. Use for fusion-focused design or redesign, critique, comparison, or prompt-only work on a logo, symbol, app icon, monogram, or wordmark. Do not use for generic logo creation, general identity systems, illustration, packaging, or type selection unless semantic fusion is a stated or clearly central requirement.
Logo Semantic Fusion
Build one structurally shared idea. Do not force fusion when a simpler wordmark, single symbol, or broader identity system serves the brand better.
Route the references
- Read references/concept-methods.md before designing or substantially redesigning a mark.
- Read references/review-checklist.md before scoring, comparing, or accepting a visual result.
- Read references/source-notes.md only to explain provenance or resolve an ambiguous method.
Choose one mode
- Design or redesign: Run the full workflow. Preserve stated redesign invariants before exploring.
- Critique: Inspect the supplied artifact and report evidence, hard-gate failures, and the smallest useful revisions. Do not redesign unless asked.
- Compare: Apply the same brief, scales, and hard gates to every candidate. Allow
reject all; do not invent a new candidate unless asked. - Prompt-only: Produce a production prompt, constraints, and future acceptance tests. Do not generate an artifact or claim visual QA, similarity screening, or production readiness.
Run the applicability gate
Proceed with fusion concepting only when all are true:
- At least two distinct brand signals are worth encoding.
- A plausible shared contour, stroke, void, glyph skeleton, or module system can carry them.
- Fusion improves the brand idea without sacrificing required-script legibility, category trust, or recognition at the intended scale.
If any condition fails, state why and recommend a pure wordmark, single symbol, abstract mark, or identity-system route. In critique or compare mode, treat forced fusion as a finding instead of ending the review.
Establish the brief
Extract or reasonably infer:
- name, pronunciation, audience, category, promise, and personality;
- target contexts and smallest committed size;
- required scripts, must-keep elements, and forbidden motifs;
- color, background, accessibility, and delivery constraints.
State consequential assumptions. Do not improvise unfamiliar letterforms or characters: consult authoritative form references and require a fluent reader or native reviewer before calling the result production-ready.
Inventory semantics and screen prior art
Map up to three primary signals to visual structures and language structures. Describe geometry, not only nouns.
During early ideation, list provisional category clichés and mark the avoid map not screened; do not block concept generation on open-ended research. Before advancing a direction or claiming distinctiveness, review a bounded current sample of relevant-category marks and the closest structural analogues. Record sources, dates, recurring silhouettes, distinctive constructions, and unresolved gaps without implying an exhaustive search. If current screening is unavailable, keep the work not screened and make no originality claim. Treat this as design-direction screening, never trademark clearance.
Generate distinct concept families
Create at least six thumbnails across at least three families and three fusion methods. Make every family change both:
- the semantic pairing or interpretation; and
- the dominant silhouette or visual skeleton.
Count a change of method alone as a variant, not a new family. Name the shared structural move for every thumbnail. Reject pasted icons, complete-symbol overlaps, generic containers, explanation-dependent readings, and close imitation.
Prefer two signals in the core mark. Add a third only when the same geometry carries it.
Show full SKILL.md (352 more words)Show less
Select before polishing
Score candidates from 1 to 5 on brand fit, fusion integrity, screened distinctiveness, smallest-size legibility, one-color reproducibility, and cultural/category safety. Use higher scores for better or safer outcomes.
Advance only when no score is below 3, fusion integrity and cultural/category safety are at least 4, and the mean is at least 3.8. A hard-gate failure in the review checklist overrides the score. Lock silhouette, fusion relationship, dominant angle, stroke or fill logic, and essential negative space before rendering.
Render in controlled passes
- Draw in black and white.
- Normalize weight, corners, curves, spacing, and optical balance.
- Remove or responsively replace details that fail at the smallest committed size.
- Add color only after monochrome works.
- Solve the wordmark lockup separately unless it is the fused mark.
Use image generation for isolated flat concept sheets, not precision masters. Rebuild selected geometry as clean vector paths when production precision matters.
Verify the actual artifact
Run the review checklist on the rendered output. Test required sizes, one color, reverse, grayscale, and silhouette. If the full mark fails at small sizes, create a responsive micro mark and define the switch point.
Do not report visual QA from a prompt, source file, or intention. If no artifact was inspected, state visual QA not run. Preserve locked invariants during local fixes, then rerun every applicable check.
Hand off proportionately
For production delivery, define clear space, minimum sizes, responsive variants, lockups, color variants, and basic vector/export requirements. Mark non-applicable items explicitly. For concept-only or prompt-only work, list these checks as pending rather than implying completion.
Deliver by mode
- Design or redesign: Return the brief, applicability result, semantic inventory, avoid map, family matrix, scores, selected principle, artifact, QA result, and handoff status.
- Critique: Return evidence-linked findings, hard-gate status,
pass,revise, orreject, and minimal revisions. - Compare: Return a normalized score table, hard-gate status, and a winner or
reject all. - Prompt-only: Return the prompt, negative constraints, and future acceptance tests. State that no artifact was inspected and visual QA and production readiness remain unverified.
Always distinguish design-direction similarity screening from jurisdiction- and class-specific trademark clearance.
© ZSeven-W, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 6 other files (references) in skills/logo-semantic-fusion of ZSeven-W/craft-skills.
- SKILL.md
- README.en.md
- README.md
- agents/openai.yaml
- references/concept-methods.md
- references/review-checklist.md
- references/source-notes.md
Open the folder on GitHubat commit 01c8ffe
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ZSeven-W/craft-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Logo Semantic Fusion 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 |
|---|---|---|---|---|---|---|
| Logo Semantic Fusion this skillZSeven-W/craft-skills | 225 | 1 repos | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill | 135k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Anthropic Brand Stylinganthropics/skills | 180k | 30 repos | ~559 | Automated safety check: Pass | Apache-2.0 | |
| Logo Designkaankiziltug/logo-design-skill | 2.5k | — | ~4.4k | Automated safety check: Pass | MIT | |
| Logo Generatorop7418/logo-generator-skill | 2.2k | — | ~1.8k | Automated safety check: Notes | None | |
| Web Asset Generatoralonw0/web-asset-generator | 514 | 1 repos | ~6.6k | Automated safety check: Pass | MIT |
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Categories
Questions about Logo Semantic Fusion
What does Logo Semantic Fusion do?
Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system. Logo Semantic Fusion is an agent skill from ZSeven-W/craft-skills. Develop and evaluate logo concepts when the explicit design problem is semantic fusion: two or more brand meanings must share a contour, stroke, negative space, glyph skeleton, or shape system.
When should I use Logo Semantic Fusion?
Logo Semantic Fusion fits situations like: fusion-focused design; prompt-only work on a logo; generic logo creation; general identity systems.
How do I install Logo Semantic Fusion in Claude Code?
Run `npx skills add ZSeven-W/craft-skills --skill logo-semantic-fusion -a claude-code`. Or copy the skill folder (skills/logo-semantic-fusion in ZSeven-W/craft-skills) into .claude/skills/logo-semantic-fusion in your project. Claude Code loads it when a task matches its description.
How do I install Logo Semantic Fusion in Codex?
Run `npx skills add ZSeven-W/craft-skills --skill logo-semantic-fusion -a codex`. Or copy the skill folder (skills/logo-semantic-fusion in ZSeven-W/craft-skills) into .agents/skills/logo-semantic-fusion in your project. Codex loads it when a task matches its description.
Can I use Logo Semantic Fusion 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 ZSeven-W/craft-skills --skill logo-semantic-fusion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/logo-semantic-fusion, .gemini/skills/logo-semantic-fusion, .github/skills/logo-semantic-fusion and .opencode/skills/logo-semantic-fusion in your project.
What does Logo Semantic Fusion need to run?
SKILL.md names no scripts, command-line tools or credentials: Logo Semantic Fusion is instructions for the agent only.
Does Logo Semantic Fusion 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 Logo Semantic Fusion 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 Logo Semantic Fusion use?
Logo Semantic Fusion is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Logo Semantic Fusion use?
About 1.7k tokens (SKILL.md is roughly 6.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.
What are the alternatives to Logo Semantic Fusion?
Skills that share tags, products or a category with Logo Semantic Fusion: Brand and Design Toolkit (nextlevelbuilder/ui-ux-pro-max-skill, 135k stars), Anthropic Brand Styling (anthropics/skills, 180k stars), Logo Design (kaankiziltug/logo-design-skill, 2.5k stars) and Logo Generator (op7418/logo-generator-skill, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Logo Semantic Fusion?
ZSeven-W (a GitHub organization) maintains it in ZSeven-W/craft-skills, which has 225 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 22, 2026.
Source: ZSeven-W/craft-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.