AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.
$ npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/ideogram .claude/skills/ideogram && 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 "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .claude/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogramType 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 Anil-matcha/awesome-muse-connectors --skill ideogram -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/ideogram .agents/skills/ideogram && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .agents/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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 Anil-matcha/awesome-muse-connectors --skill ideogram -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/ideogram .cursor/skills/ideogram && 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 "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .cursor/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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/Anil-matcha/awesome-muse-connectors.git --path connectors/ideogram--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 Anil-matcha/awesome-muse-connectors --skill ideogram -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/ideogram .gemini/skills/ideogram && 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 "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .gemini/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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 Anil-matcha/awesome-muse-connectors ideogramInstalls 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 Anil-matcha/awesome-muse-connectors --skill ideogram -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/ideogram .github/skills/ideogram && 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 "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .github/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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 Anil-matcha/awesome-muse-connectors --skill ideogram -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Anil-matcha/awesome-muse-connectors ideogram --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/ideogram .opencode/skills/ideogram && 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 "ideogram" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/ideogram into .opencode/skills/ideogram/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ideogram", 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.
ideogramIdeogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.
Ideogram is an agent skill from Anil-matcha/awesome-muse-connectors. Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance. Trigger phrases: ideogram, text in image, thumbnail with words, ideogram generate, magic fill.
Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/ideogram.py`).
It sits in Media & Creative, covering Image generation and Image editing. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit d6dc5d8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships script files (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ideogram loads about 826 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 284 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 284 words, ~826 tokens.
.claude/skills/ideogram/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Generate images with Ideogram's v3 API: the strongest option in the catalog for text-in-image rendering (thumbnails and carousels with real words), plus Magic Fill editing and style remix, with upscaling and image description on the same key. Use when Michael needs images that contain legible text.
All commands go through bin/ideogram.py (multipart form posts):
bin/ideogram.py auth # verify the API key (free balance read)
bin/ideogram.py balance # read billing balance (free)
bin/ideogram.py generate --prompt "retro poster that says SUMMER" --json '{"aspect_ratio": "16x9"}'
bin/ideogram.py edit --prompt "replace the sign with OPEN" --image ./sign.png # Magic Fill edit
bin/ideogram.py remix --prompt "same scene, watercolor style" --image ./scene.png # style transfer
bin/ideogram.py upscale --image ./small.png # upscale
bin/ideogram.py describe --image ./photo.png # describe an imagegenerate returns image URLs in the response. Ideogram is SYNCHRONOUS (no job polling), which makes it the simplest image integration in the catalog.
ideogram (credential is collected as custom.ideogram)credentials.request_api_access); created in the Ideogram developer dashboardapi.ideogram.aibin/ideogram.py auth (must return "ok": true). The key is sent as the Api-Key header. HEADER NOTE: the research dossier documented "header auth" without naming the header; Api-Key is per Ideogram's published API docs. Verify against developer.ideogram.ai on first live use and correct bin/ideogram.py if it differs.balance first so top-ups never surprise anyone.bin/ideogram.py). Do not print, log, or transmit the key value.🧪 Draft: written from Ideogram's published OpenAPI 3.1 spec via the research dossier; not yet live-tested end-to-end. The Api-Key header name and the /api/v1/billing path need a live check on first use.
© Anil-matcha, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in connectors/ideogram of Anil-matcha/awesome-muse-connectors.
Open the folder on GitHubat commit d6dc5d8
Ideogram 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 this skillAnil-matcha/awesome-muse-connectors | 1.3k | — | ~826 | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Generate Imageynulihao/AgentSkillOS | 617 | 10 repos | ~1.7k | Automated safety check: Notes | None | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.6k | — | ~2.5k | Automated safety check: Notes | MIT | |
| NanobananaReScienceLab/opc-skills | 1.8k | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Native Transparent ImagegenZSeven-W/craft-skills | 223 | 2 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
wuyoscar/GPT-Image2-Skill
Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.
ReScienceLab/opc-skills
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro).
ZSeven-W/craft-skills
Generate new raster assets that must contain native pixel transparency, then verify the untouched PNG or WebP before delivery.
BlockRunAI/ClawRouter
Generates or edits images through ClawRouter's local image API, with a choice of models and sizes and payment handled automatically through x402.
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Categories
Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance. Ideogram is an agent skill from Anil-matcha/awesome-muse-connectors. Ideogram text-to-image generation with the strongest text rendering in the catalog: generate, edit, remix, upscale, describe, balance.
Ideogram fits situations like: phrases: ideogram; thumbnail with words; ideogram generate.
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a claude-code`. Or copy the skill folder (connectors/ideogram in Anil-matcha/awesome-muse-connectors) into .claude/skills/ideogram in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a codex`. Or copy the skill folder (connectors/ideogram in Anil-matcha/awesome-muse-connectors) into .agents/skills/ideogram in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Anil-matcha/awesome-muse-connectors --skill ideogram -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ideogram, .gemini/skills/ideogram, .github/skills/ideogram and .opencode/skills/ideogram in your project.
Going by SKILL.md and its folder, Ideogram needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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.
Ideogram is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 826 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Ideogram: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Generate Image (ynulihao/AgentSkillOS, 617 stars), GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.6k stars) and Nanobanana (ReScienceLab/opc-skills, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,334 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.
Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.