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.
Lets an agent read and describe images through a vision model and generate or edit images from text prompts, using the tai command-line tool.
Install Yao Image Tools
$ npx skills add YaoApp/yao --skill yao-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install YaoApp/yao yao-image --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/YaoApp/yao.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/skills/yao-image .claude/skills/yao-image && 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 "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .claude/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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/YaoApp/yao/tree/main/tools/skills/yao-imageType 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 YaoApp/yao --skill yao-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install YaoApp/yao yao-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YaoApp/yao.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tools/skills/yao-image .agents/skills/yao-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .agents/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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 YaoApp/yao --skill yao-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install YaoApp/yao yao-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YaoApp/yao.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tools/skills/yao-image .cursor/skills/yao-image && 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 "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .cursor/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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/YaoApp/yao.git --path tools/skills/yao-image--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 YaoApp/yao --skill yao-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install YaoApp/yao yao-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YaoApp/yao.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tools/skills/yao-image .gemini/skills/yao-image && 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 "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .gemini/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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 YaoApp/yao yao-imageInstalls 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 YaoApp/yao --skill yao-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/YaoApp/yao.git skills-src && mkdir -p .github/skills && cp -r skills-src/tools/skills/yao-image .github/skills/yao-image && 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 "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .github/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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 YaoApp/yao --skill yao-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install YaoApp/yao yao-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/YaoApp/yao.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tools/skills/yao-image .opencode/skills/yao-image && 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 "yao-image" agent skill from https://github.com/YaoApp/yao/tree/main/tools/skills/yao-image into .opencode/skills/yao-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "yao-image", 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
yao-image- GitHub stars
- 8.1k
- Token cost
- ~2k tokens
- SKILL.md length
- 615 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Lets an agent read and describe images through a vision model and generate or edit images from text prompts, using the tai command-line tool.
- Reading a screenshot or chart that the agent cannot view natively
- SKILL.md covers image_read, image_generate, image_edit and image_providers, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Describing a photo or diagram from a file path or URL
What it does
This skill documents image tools that run through the `tai tool` command. The image_read tool sends a local file or URL to a vision-capable model and returns a text description. It accepts an optional prompt, a maximum edge size that defaults to 1080 pixels, and a choice of vision provider. Images are resized before sending, and PNG, JPEG, GIF and WebP are supported.
The image_generate tool creates a picture from a text prompt and always writes it to a path you give with --output. Options cover provider, model, dimensions, a transparent background for icons or stickers, output format (PNG or WebP) and quality. Changing an existing picture is handled by a separate image_edit tool.
When your agent uses it
- Reading a screenshot or chart that the agent cannot view natively
- Describing a photo or diagram from a file path or URL
- Generating an icon or mascot with a transparent background
- Producing an image file in PNG or WebP at a chosen size
Example prompts
- “Describe what is shown in ./screenshots/checkout-error.png.”
- “Generate a flat fox mascot with a transparent background and save it as fox.png.”
- “Read the chart in ./reports/q3-chart.png and list the figures it shows.”
Requirements
- The tai command-line tool
- A vision-capable model provider for reading images
- An image generation provider for creating images
What it can do on your machine
Read from SKILL.md and the folder at commit eea1e7e. 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
Yao Image Tools loads about 2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 615 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 615 words (~1,995 tokens).
“Use these tools when you encounter images you cannot read natively, or when you need to generate new images.”
- name
- yao-image
Files
Just SKILL.md in tools/skills/yao-image of YaoApp/yao.
Open the folder on GitHubat commit eea1e7e
Compare with similar skills
Yao Image Tools 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 |
|---|---|---|---|---|---|---|
| Yao Image Tools this skillYaoApp/yao | 8.1k | — | ~2k | Automated safety check: Pass | Custom licence | |
| 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 | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT | |
| BlockRun Image GenerationBlockRunAI/ClawRouter | 6.6k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Native Transparent ImagegenZSeven-W/craft-skills | 225 | 1 repos | ~1.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Generate Image
ynulihao/AgentSkillOS
Generate or edit images using AI models (FLUX, Gemini). An agent skill from ynulihao/AgentSkillOS.
GPT Image Generation CLI
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.
BlockRun Image Generation
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.
Native Transparent Imagegen
ZSeven-W/craft-skills
Generate new raster assets that must contain native pixel transparency, then verify the untouched PNG or WebP before delivery.
Antigravity Gemini Image
uluckyXH/OpenMOSS
Generate or edit images using the Antigravity-hosted Gemini image model via the local gateway.
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Related
Categories
Questions about Yao Image Tools
What does Yao Image Tools do?
Lets an agent read and describe images through a vision model and generate or edit images from text prompts, using the tai command-line tool. This skill documents image tools that run through the `tai tool` command. The image_read tool sends a local file or URL to a vision-capable model and returns a text description.
When should I use Yao Image Tools?
Yao Image Tools fits situations like: reading a screenshot or chart that the agent cannot view natively; describing a photo or diagram from a file path or URL; generating an icon or mascot with a transparent background; producing an image file in PNG or WebP at a chosen size.
How do I install Yao Image Tools in Claude Code?
Run `npx skills add YaoApp/yao --skill yao-image -a claude-code`. Or copy the skill folder (tools/skills/yao-image in YaoApp/yao) into .claude/skills/yao-image in your project. Claude Code loads it when a task matches its description.
How do I install Yao Image Tools in Codex?
Run `npx skills add YaoApp/yao --skill yao-image -a codex`. Or copy the skill folder (tools/skills/yao-image in YaoApp/yao) into .agents/skills/yao-image in your project. Codex loads it when a task matches its description.
Can I use Yao Image Tools 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 YaoApp/yao --skill yao-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/yao-image, .gemini/skills/yao-image, .github/skills/yao-image and .opencode/skills/yao-image in your project.
What does Yao Image Tools need to run?
SKILL.md names no scripts, command-line tools or credentials: Yao Image Tools is instructions for the agent only. Our summary lists: The tai command-line tool; A vision-capable model provider for reading images; An image generation provider for creating images.
Does Yao Image Tools 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 Yao Image Tools 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 Yao Image Tools use?
Yao Image Tools has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Yao Image Tools use?
About 2k tokens (SKILL.md is roughly 8k 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 Yao Image Tools?
Skills that share tags, products or a category with Yao Image Tools: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Generate Image (ynulihao/AgentSkillOS, 617 stars), GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.7k stars) and BlockRun Image Generation (BlockRunAI/ClawRouter, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Yao Image Tools?
YaoApp (a GitHub organization) maintains it in YaoApp/yao, which has 8,103 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 8, 2026.
Source: YaoApp/yao on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.