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Agent skill

Generate Reference Inspired Brand Worlds

by nirholas in nirholas/three.ws

Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements.

Apache-2.0Auto-check passedMedia & Creative

Install Generate Reference Inspired Brand Worlds

skills CLI
$ npx skills add nirholas/three.ws --skill generate-reference-inspired-brand-worlds -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nirholas/three.ws generate-reference-inspired-brand-worlds --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nirholas/three.ws.git skills-src && mkdir -p .claude/skills && cp -r skills-src/third_party/designcode-agent-skills/agent-skills/codex/generate-reference-inspired-brand-worlds .claude/skills/generate-reference-inspired-brand-worlds && rm -rf skills-src

Use ~/.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/

Facts

Skill name
generate-reference-inspired-brand-worlds
GitHub stars
228
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
797 words
Files
8 (incl. references, assets)
Skills in repo
92
Repo updated
First seen
Licence
Apache-2.0

At a glance

Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements.

  • Works in 5 steps: Load and inspect every supplied image… → Label each input explicitly → Use the available image-generation tool.… → …
  • A user provides a brand identity image
  • SKILL.md covers Start correctly, Set the similarity dial, Extract visual DNA and Build a distinct-brand matrix, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Generate Reference Inspired Brand Worlds is an agent skill from nirholas/three.ws. Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including reference files and assets (for example `agents/openai.yaml` and `references/example-prompts.md`).

It sits in Media & Creative, covering Image generation, Logo and visual identity and Brand strategy and identity. The repository describes itself as: Open-source platform for 3D AI agents. Turn text or a photo into a rigged, animated GLB avatar, give it an LLM brain, memory and a wallet, and embed it anywhere with one web… The licence is Apache-2.0.

When your agent uses it

  • A user provides a brand identity image
  • Editorial campaign
  • Generated concept and asks for inspired alternatives
  • Several distinct brands in one visual family

Example prompts

  • “/generate-reference-inspired-brand-worlds”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Load and inspect every supplied image before prompting.
  2. Label each input explicitly
  3. Use the available image-generation tool. When the built-in imagegen skill is available, load it and follow its save, reference, iteration…
  4. Treat a style reference as guidance, not an edit target, unless the user asks to preserve specific pixels.
  5. Keep the reference image out of reusable skill assets unless the user owns it and explicitly authorizes redistribution.

What it can do on your machine

Read from SKILL.md and the folder at commit ec8d1d2. 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

Generate Reference Inspired Brand Worlds loads about 2k tokens when it runs, and up to ~3.5k if it reads all its reference files. Until then it costs about 130 tokens; SKILL.md has 797 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~130
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.5k

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 nirholas/three.ws at commit ec8d1d2, republished under its Apache-2.0 licence (© nirholas). 797 words, ~1,954 tokens.

Download SKILL.mdSave it as .claude/skills/generate-reference-inspired-brand-worlds/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
generate-reference-inspired-brand-worlds
description
Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. Use when a user provides a brand identity image, poster, editorial campaign, moodboard, or generated concept and asks for inspired alternatives, several distinct brands in one visual family, a closer-to-reference V2, exact wordmarks inside images, or originality-safe image-generation prompts and outputs.

Generate Reference-Inspired Brand Worlds

Create brand concepts that feel intentionally related to a reference while changing the identity, meaning, subjects, and signature composition. Treat this as an art-direction layer over the available image-generation workflow.

Start correctly

  1. Load and inspect every supplied image before prompting.
  2. Label each input explicitly:
    • Image 1: primary visual-language reference
    • Image 2: current concept/content anchor when revising an existing result
  3. Use the available image-generation tool. When the built-in imagegen skill is available, load it and follow its save, reference, iteration, and validation rules.
  4. Treat a style reference as guidance, not an edit target, unless the user asks to preserve specific pixels.
  5. Keep the reference image out of reusable skill assets unless the user owns it and explicitly authorizes redistribution.

Set the similarity dial

Use the user's language to choose a target. The numbers communicate intent; they are not measurable similarity scores.

  • 30% — distant inspiration: keep only abstract principles such as mood, density, or contrast.
  • 50% — recognizable influence: share medium and emotional tone; change palette, composition, subjects, and type system.
  • 70% — adjacent brand family: share the reference's composition logic, texture, palette relationships, human presence, and wordmark scale while creating new subjects, actions, arrangement, and letterforms. Default here for “not too different from the inspiration.”
  • 85% — close art-direction neighbor: preserve most high-level visual grammar but change at least four signature elements. Do not recreate an exact commercial identity.

If the user says “inspired, not copying,” preserve originality even when they request the 70–85% range.

Extract visual DNA

Write two short lists before generating.

Reusable visual grammar

Capture high-level relationships:

  • scene density and depth layers
  • palette relationships rather than exact swatches
  • print, photographic, painterly, woven, or halftone surface
  • lighting and emotional temperature
  • type scale, weight, contrast, and placement logic
  • amount and role of human presence
  • rhythm of organic and architectural forms
Protected signature elements

Do not reproduce:

  • exact people, poses, gestures, clothing, or choreography
  • exact flower beds, objects, silhouettes, or motif arrangement
  • exact foreground-to-background layout or negative-space shape
  • source brand name, slogans, logos, or proprietary marks
  • distinctive wordmark letterforms
  • recognizable pixel-for-pixel composition

When a reference has one famous or unusually distinctive feature, abstract the principle behind it instead of repeating the feature.

Build a distinct-brand matrix

For a multi-brand set, hold 4–6 constants and vary the brand story.

Shared constants can include:

  • aspect ratio
  • medium and texture
  • palette relationship
  • wordmark color, scale, and placement
  • scene density
  • emotional tone

Vary at least these fields for every brand:

FieldRequirement
NameNew, exact, and legible
MeaningA specific product, mission, or cultural role
EnvironmentA world that expresses the meaning
Human ritualA unique action, not generic posing
Signature motifOne memorable brand-specific object or natural system

The set should read as one art-direction family, not five color swaps and not five unrelated styles.

Show full SKILL.md (330 more words)Show less

Write one prompt per brand

Use one image-generation call per distinct brand. Do not request five different concepts as variants of one prompt.

Use this prompt spine:

text
Use case: style-transfer
Asset type: 16:9 landscape brand campaign key visual
Primary request: Create an original identity image for "<NAME>" at approximately <DIAL>% similarity to Image 1's high-level visual grammar.
Input images: Image 1 is the primary visual-language reference; Image 2 is the current concept/content anchor when present.
Brand meaning: <specific meaning and promise>
Scene/backdrop: <new world tied to that meaning>
Subject: <new people, action, and brand ritual>
Style/medium: <reference-adjacent medium and tactile surface>
Composition/framing: <shared composition logic with a materially new arrangement>
Color palette: <relationship to the reference, not exact color sampling>
Text (verbatim): "<NAME>"
Typography: <shared scale/placement logic with original letterforms>; render exactly once.
Constraints: preserve the requested similarity range and brand meaning; original scene; no extra text; no watermark.
Avoid: exact source poses, objects, layout, motif arrangement, marks, slogans, and letterforms.

For an unusual name, spell it once in the prompt, for example M-O-S-S-W-E-F-T, then require the normal wordmark exactly once.

Revise without losing the concept

When the user asks for a closer V2:

  1. Use the original reference as Image 1.
  2. Use the current concept as Image 2.
  3. Preserve the current name and meaning.
  4. Change only the similarity target and the shared visual grammar.
  5. Restate all protected signature exclusions.
  6. Save as a versioned sibling such as brand-name-v2.png; never overwrite V1 by default.

Use a targeted instruction such as:

text
Move this concept from roughly 40% to 70% similarity to Image 1's high-level visual grammar. Keep the exact brand name, meaning, and core subject from Image 2. Increase the reference-adjacent scene density, print texture, palette relationship, theatrical staging, and wordmark scale. Create new poses, motifs, spatial arrangement, and letterforms. Do not reproduce the source composition.

Validate every output

Inspect each final image and check:

  • exact wordmark spelling and one occurrence only
  • no extra copy or accidental marks
  • brand meaning is visible without explanation
  • shared family resemblance across the set
  • requested similarity dial is plausible
  • at least four signature elements differ from the reference
  • each brand differs from the other variants in meaning, ritual, environment, and motif
  • correct aspect ratio and usable resolution
  • unique file and non-destructive versioning

If one check fails, iterate with one targeted change and re-inspect. Do not rewrite the entire prompt unless the concept itself is wrong.

Save and hand off

  • Persist every requested final asset in the project workspace.
  • Keep generated originals in the image tool's default location and copy selected files into the project.
  • Use descriptive filenames such as kintra-movement-collective-v2.png.
  • Report the saved paths, generation mode, similarity dial, concise prompt set, validation result, and whether previous versions were preserved.
  • Stage and commit only the new skill or generated assets when working in a dirty repository.

Worked examples

Read references/example-prompts.md when generating a multi-brand set or a closer-to-reference V2. It contains the MOSSWEFT, KINTRA, NIGHTJAR, TIDETURN, and EMBERHOUSE prompt patterns.

Inspect assets/examples/ only when visual comparison helps. Those images demonstrate a 70% adjacent-family result and are examples, not templates to copy.

© nirholas, 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 7 other files (references, assets) in third_party/designcode-agent-skills/agent-skills/codex/generate-reference-inspired-brand-worlds of nirholas/three.ws.

  • SKILL.md
  • agents/openai.yaml
  • assets/examples/emberhouse-v2.jpg
  • assets/examples/kintra-v2.jpg
  • assets/examples/mossweft-v2.jpg
  • assets/examples/nightjar-v2.jpg
  • assets/examples/tideturn-v2.jpg
  • references/example-prompts.md

Open the folder on GitHubat commit ec8d1d2

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 nirholas/three.ws, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Generate Reference Inspired Brand Worlds 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.

Generate Reference Inspired Brand Worlds compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Generate Reference Inspired Brand Worlds this skillnirholas/three.ws2281 repos~2kAutomated safety check: PassApache-2.0
Brand Design Skillziguishian/brand-design-skill152—~4.4kAutomated safety check: PassNone
Design Masterminhnv0807/ai-business-skills610—~4.6kAutomated safety check: PassMIT
Direct Image Creationopenvetta/open-vetta291—~1.2kAutomated safety check: PassApache-2.0
Nous Brandingmagnus919/agent-skills116—~4kAutomated safety check: PassMIT
Brand and Design Toolkitnextlevelbuilder/ui-ux-pro-max-skill134k1 repos~3.5kAutomated safety check: PassMIT

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Categories

Questions about Generate Reference Inspired Brand Worlds

What does Generate Reference Inspired Brand Worlds do?

Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements. ws. Generate multiple original brand campaign worlds from a supplied visual reference while controlling how close the new work feels without copying protected signature elements.

When should I use Generate Reference Inspired Brand Worlds?

Generate Reference Inspired Brand Worlds fits situations like: A user provides a brand identity image; editorial campaign; generated concept and asks for inspired alternatives; several distinct brands in one visual family.

How do I install Generate Reference Inspired Brand Worlds in Claude Code?

Run `npx skills add nirholas/three.ws --skill generate-reference-inspired-brand-worlds -a claude-code`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/codex/generate-reference-inspired-brand-worlds in nirholas/three.ws) into .claude/skills/generate-reference-inspired-brand-worlds in your project. Claude Code loads it when a task matches its description.

How do I install Generate Reference Inspired Brand Worlds in Codex?

Run `npx skills add nirholas/three.ws --skill generate-reference-inspired-brand-worlds -a codex`. Or copy the skill folder (third_party/designcode-agent-skills/agent-skills/codex/generate-reference-inspired-brand-worlds in nirholas/three.ws) into .agents/skills/generate-reference-inspired-brand-worlds in your project. Codex loads it when a task matches its description.

Can I use Generate Reference Inspired Brand Worlds 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 nirholas/three.ws --skill generate-reference-inspired-brand-worlds -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-reference-inspired-brand-worlds, .gemini/skills/generate-reference-inspired-brand-worlds, .github/skills/generate-reference-inspired-brand-worlds and .opencode/skills/generate-reference-inspired-brand-worlds in your project.

What does Generate Reference Inspired Brand Worlds need to run?

SKILL.md names no scripts, command-line tools or credentials: Generate Reference Inspired Brand Worlds is instructions for the agent only.

Does Generate Reference Inspired Brand Worlds 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 Generate Reference Inspired Brand Worlds 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 Generate Reference Inspired Brand Worlds use?

Generate Reference Inspired Brand Worlds 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 Generate Reference Inspired Brand Worlds use?

About 2k tokens (SKILL.md is roughly 7.8k 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 1.6k tokens, read only when the agent opens those files.

What are the alternatives to Generate Reference Inspired Brand Worlds?

Skills that share tags, products or a category with Generate Reference Inspired Brand Worlds: Brand Design Skill (ziguishian/brand-design-skill, 152 stars), Design Master (minhnv0807/ai-business-skills, 610 stars), Direct Image Creation (openvetta/open-vetta, 291 stars) and Nous Branding (magnus919/agent-skills, 116 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Generate Reference Inspired Brand Worlds?

nirholas (a GitHub user) maintains it in nirholas/three.ws, which has 228 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 9, 2026.

Source: nirholas/three.ws on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.