Logo Generator
op7418/logo-generator-skill
Generate professional SVG logos and high-end showcase images.
Turns a casual image request into the structured JSON caption Ideogram 4 needs for legible on-image text, exact brand colors and controlled layout.
Install Ideogram 4 Prompt Builder
$ npx skills add digitalsamba/claude-code-video-toolkit --skill ideogram4 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit ideogram4 --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/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/ideogram4 .claude/skills/ideogram4 && 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 "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .claude/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4Type 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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit ideogram4 --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/ideogram4 .agents/skills/ideogram4 && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .agents/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit ideogram4 --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/ideogram4 .cursor/skills/ideogram4 && 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 "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .cursor/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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/digitalsamba/claude-code-video-toolkit.git --path .claude/skills/ideogram4--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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit ideogram4 --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/ideogram4 .gemini/skills/ideogram4 && 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 "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .gemini/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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 digitalsamba/claude-code-video-toolkit ideogram4Installs 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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/ideogram4 .github/skills/ideogram4 && 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 "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .github/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digitalsamba/claude-code-video-toolkit ideogram4 --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digitalsamba/claude-code-video-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/ideogram4 .opencode/skills/ideogram4 && 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 "ideogram4" agent skill from https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/ideogram4 into .opencode/skills/ideogram4/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram4", 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
ideogram4- GitHub stars
- 2.2k
- Used in
- 1 other repo
- Token cost
- ~1.3k tokens
- SKILL.md length
- 491 words
- Files
- 3
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- MIT
At a glance
Turns a casual image request into the structured JSON caption Ideogram 4 needs for legible on-image text, exact brand colors and controlled layout.
- Generating a title card or thumbnail with legible on-image text
- SKILL.md covers When to Use This Skill, The One Thing to Get Right, Quick Reference —… and Key Files, plus 1 more section
- Calls uv; needs IDEOGRAM_API_KEY
- Producing an image that must match exact brand hex colors
What it does
Ideogram 4's advantage over larger models is rendering legible signage, logos, captions and multi-line text, plus exact color-palette and bounding-box control, but that advantage is locked behind a structured JSON caption format; a plain-text prompt only gets lesser results and misses the point of using this model. The skill has the agent act as the prompt expander, turning a casual request into that JSON caption, since the model is trained exclusively on captions that name every element explicitly, and the skill argues this expansion beats Ideogram's own free hosted magic-prompt, whose documentation says the shipped version differs from the one used in production.
The toolkit calls Ideogram's hosted v4 API rather than self-hosted weights, because the self-hostable weights are non-commercial while the paid API plans include a commercial license. The skill reaches for Ideogram 4 specifically for title cards, thumbnails, signage, logos, quote cards and calls to action with a baked-in headline, exact brand hex colors, bounding-box layout, or multilingual on-image text, and reaches for a different model instead when there is no critical text or the need is just a fast atmospheric background. Full schema details, key-ordering rules and the bounding-box coordinate system live in a prompting reference file.
When your agent uses it
- Generating a title card or thumbnail with legible on-image text
- Producing an image that must match exact brand hex colors
- Placing text or objects in specific regions with bounding-box layout
- Choosing between Ideogram 4 and another model for an image request
Example prompts
- “Generate a YouTube thumbnail with the headline 'Episode 12' in our brand colors.”
- “Make a quote card with this exact text placed in the lower third.”
- “I need a logo mockup with the company name rendered legibly. Use Ideogram.”
Requirements
- Access to Ideogram's hosted v4 API
What it can do on your machine
Read from SKILL.md and the folder at commit 2c99460. 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
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
IDEOGRAM_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ideogram 4 Prompt Builder loads about 1.3k tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 491 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:55
ted v4 API. Needs `IDEOGRAM_API_KEY` in `.env`
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 digitalsamba/claude-code-video-toolkit at commit 2c99460, republished under its MIT licence (© digitalsamba). 491 words, ~1,339 tokens.
Download SKILL.mdSave it as
.claude/skills/ideogram4/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- ideogram4
- description
- Prompting patterns for Ideogram 4 text-to-image — best-in-class in-image text rendering and exact color/layout control via structured JSON captions. Use when generating images that need legible on-image text (title cards, thumbnails, logos, signage, CTAs), precise brand colors, or controlled spatial layout. Triggers include title slide image, thumbnail with text, on-image text, legible text in image, brand color palette image, bounding-box layout, Ideogram.
Ideogram 4 Skill
Text-to-image generation with Ideogram 4 (9.3B, open-weight, released June 2026). Its superpower is best-in-class in-image text rendering — it beats much larger models (FLUX.2 dev 32B, Qwen-Image 20B, Hunyuan 80B) at rendering legible signage, logos, captions, and multi-line text — plus exact color-palette and bounding-box control.
That advantage is locked behind a structured JSON caption format. A plain-text prompt gets you FLUX-level results and misses the entire point of using this model. This skill teaches Claude to act as the "magic prompt" expander — turning a user's casual request into the JSON caption Ideogram 4 was trained on.
Backend: The toolkit uses Ideogram's hosted v4 API (not self-hosted weights). The API accepts a structured
json_prompt, so everything this skill teaches applies directly — Claude builds the caption, the tool posts it asjson_prompt. Paid API plans include a commercial license, which the self-hostable weights (non-commercial) do not — that's why we use the API. Cost is ~$0.03/image (turbo) to ~$0.09/image (quality).
When to Use This Skill
Reach for Ideogram 4 (over FLUX.2) when the image needs:
- Legible on-image text — title cards, thumbnails, lower-thirds backgrounds, signage, logos, quote cards, CTAs with a headline baked in
- Exact brand colors — hex color-palette conditioning, per-element
- Controlled layout — bounding boxes place text/objects in specific regions
- Multilingual text in the image
Use FLUX.2 instead when: the image has no critical text, you need commercial-licensed output,
or you just want a fast atmospheric background. FLUX takes plain natural-language prompts; Ideogram
wants JSON. See tools/flux2.py.
The One Thing to Get Right
Always emit a structured JSON caption, not a plain sentence. The model is trained exclusively on JSON captions that name every element explicitly. Claude is a better expander than Ideogram's free hosted magic-prompt (their own docs note the shipped one "is not the same used in production"), so build the caption yourself using this skill rather than passing raw text.
Minimal valid caption:
{"high_level_description":"A sailboat at sunset on calm water.","style_description":{"aesthetics":"serene, warm, golden hour","lighting":"golden hour backlighting","photo":"wide angle, f/8","medium":"photograph","color_palette":["#FF6B35","#F7C59F","#004E89"]},"compositional_deconstruction":{"background":"Calm ocean at low horizon with orange-pink sky.","elements":[{"type":"obj","desc":"White triangular sail silhouetted against the setting sun."}]}}Full schema, strict key-ordering rules, and the bbox coordinate system are in prompting.md.
Worked title-card / thumbnail / quote-card examples are in examples.md.
Show full SKILL.md (156 more words)Show less
Quick Reference — tools/ideogram4.py
Thin wrapper over Ideogram's hosted v4 API. Needs
IDEOGRAM_API_KEYin.env(key from developer.ideogram.ai).--jsonposts the caption as the API'sjson_promptfield (no server-side magic prompt — Claude is the expander);--promptpoststext_prompt.
# Hand-authored JSON caption (the recommended path for text/layout) — Claude writes caption.json
uv run tools/ideogram4.py --json caption.json --output title.png
# Caption from stdin (Claude can pipe it directly)
cat caption.json | uv run tools/ideogram4.py --json - --output title.png
# Plain prompt — Ideogram's server-side magic prompt expands it (weaker; prefer --json)
uv run tools/ideogram4.py --prompt "Title card: 'AI ENGINEERING REVIEW' bold white on dark" --output title.png
# Inject brand hex colors into the caption's palette (JSON mode)
uv run tools/ideogram4.py --json caption.json --brand digital-samba --output cta.png
# Quality tier + resolution
uv run tools/ideogram4.py --json caption.json --speed QUALITY --resolution 2048x2048 --output slide.pngKey Files
prompting.md— full JSON schema, strict key ordering, bbox coordinate system, palette rulesexamples.md— worked captions for title cards, thumbnails, quote cards, brand CTAs
Video Production Fit
Ideogram 4's niche in the toolkit is slides and thumbnails with baked-in text, where FLUX and LTX-2 fail (both render garbled text). Natural pairings:
| Use case | Why Ideogram 4 |
|---|---|
| Title-card / CTA background with headline text | Legible text + exact brand hex colors in one pass |
| YouTube/social thumbnail with a punchy phrase | Big readable text is its strongest suit |
| Quote card / stat card | Multi-line text + layout control via bboxes |
| Signage/logos inside a product-demo scene | In-image text other models can't render |
Then feed the still into Remotion (<OffthreadVideo>/Img) or animate it with tools/ltx2.py --input.
© digitalsamba, MIT. 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 2 other files in .claude/skills/ideogram4 of digitalsamba/claude-code-video-toolkit.
- SKILL.md
- examples.md
- prompting.md
Open the folder on GitHubat commit 2c99460
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 digitalsamba/claude-code-video-toolkit, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ideogram 4 Prompt Builder 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 |
|---|---|---|---|---|---|---|
| Ideogram 4 Prompt Builder this skilldigitalsamba/claude-code-video-toolkit | 2.2k | 1 repos | ~1.3k | Automated safety check: Notes | MIT | |
| Logo Generatorop7418/logo-generator-skill | 2.2k | — | ~1.8k | Automated safety check: Notes | None | |
| Web Asset Generatoralonw0/web-asset-generator | 512 | 1 repos | ~6.6k | Automated safety check: Pass | MIT | |
| Image Generationonyx-dot-app/onyx | 32k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Gemini Image Generatordair-ai/dair-academy-plugins | 614 | 2 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Image Prompt ReverseLunarXuan/image-prompt-reverse | 464 | — | ~678 | Automated safety check: Pass | GPL-3.0 |
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Related
Categories
Questions about Ideogram 4 Prompt Builder
What does Ideogram 4 Prompt Builder do?
Turns a casual image request into the structured JSON caption Ideogram 4 needs for legible on-image text, exact brand colors and controlled layout. Ideogram 4's advantage over larger models is rendering legible signage, logos, captions and multi-line text, plus exact color-palette and bounding-box control, but that advantage is locked behind a structured JSON caption format; a plain-text prompt only gets lesser results and misses the point of using this model. The skill has the agent act as the prompt expander, turning a casual request into that JSON caption, since the model is trained exclusively on captions that name every element explicitly, and the skill argues this expansion beats Ideogram's own free hosted magic-prompt, whose documentation says the shipped version differs from the one used in production.
When should I use Ideogram 4 Prompt Builder?
Ideogram 4 Prompt Builder fits situations like: generating a title card or thumbnail with legible on-image text; producing an image that must match exact brand hex colors; placing text or objects in specific regions with bounding-box layout; choosing between Ideogram 4 and another model for an image request.
How do I install Ideogram 4 Prompt Builder in Claude Code?
Run `npx skills add digitalsamba/claude-code-video-toolkit --skill ideogram4 -a claude-code`. Or copy the skill folder (.claude/skills/ideogram4 in digitalsamba/claude-code-video-toolkit) into .claude/skills/ideogram4 in your project. Claude Code loads it when a task matches its description.
How do I install Ideogram 4 Prompt Builder in Codex?
Run `npx skills add digitalsamba/claude-code-video-toolkit --skill ideogram4 -a codex`. Or copy the skill folder (.claude/skills/ideogram4 in digitalsamba/claude-code-video-toolkit) into .agents/skills/ideogram4 in your project. Codex loads it when a task matches its description.
Can I use Ideogram 4 Prompt Builder 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 digitalsamba/claude-code-video-toolkit --skill ideogram4 -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ideogram4, .gemini/skills/ideogram4, .github/skills/ideogram4 and .opencode/skills/ideogram4 in your project.
What does Ideogram 4 Prompt Builder need to run?
Going by SKILL.md and its folder, Ideogram 4 Prompt Builder needs the command-line tools its instructions call (uv) and credentials named IDEOGRAM_API_KEY. Our summary lists: Access to Ideogram's hosted v4 API.
Does Ideogram 4 Prompt Builder access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Ideogram 4 Prompt Builder safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Ideogram 4 Prompt Builder use?
Ideogram 4 Prompt Builder is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ideogram 4 Prompt Builder use?
About 1.3k tokens (SKILL.md is roughly 5.4k 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 Ideogram 4 Prompt Builder?
Skills that share tags, products or a category with Ideogram 4 Prompt Builder: Logo Generator (op7418/logo-generator-skill, 2.2k stars), Web Asset Generator (alonw0/web-asset-generator, 512 stars), Image Generation (onyx-dot-app/onyx, 32k stars) and Gemini Image Generator (dair-ai/dair-academy-plugins, 614 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ideogram 4 Prompt Builder?
digitalsamba (a GitHub organization) maintains it in digitalsamba/claude-code-video-toolkit, which has 2,172 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 5, 2026.
Source: digitalsamba/claude-code-video-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.