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.
Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.
Install Image Editing
$ npx skills add benchflow-ai/skillsbench --skill image-editing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install benchflow-ai/skillsbench image-editing --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/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .claude/skills/image-editing && 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 "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .claude/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editingType 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 benchflow-ai/skillsbench --skill image-editing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install benchflow-ai/skillsbench image-editing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .agents/skills/image-editing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .agents/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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 benchflow-ai/skillsbench --skill image-editing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install benchflow-ai/skillsbench image-editing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .cursor/skills/image-editing && 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 "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .cursor/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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/benchflow-ai/skillsbench.git --path tasks/mario-coin-counting/environment/skills/image-editing--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 benchflow-ai/skillsbench --skill image-editing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install benchflow-ai/skillsbench image-editing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .gemini/skills/image-editing && 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 "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .gemini/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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 benchflow-ai/skillsbench image-editingInstalls 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 benchflow-ai/skillsbench --skill image-editing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .github/skills/image-editing && 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 "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .github/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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 benchflow-ai/skillsbench --skill image-editing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install benchflow-ai/skillsbench image-editing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/mario-coin-counting/environment/skills/image-editing .opencode/skills/image-editing && 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 "image-editing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/mario-coin-counting/environment/skills/image-editing into .opencode/skills/image-editing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-editing", 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
image-editing- GitHub stars
- 1.8k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 613 words
- Files
- 1
- Skills in repo
- 178
- Repo updated
- First seen
- Licence
- Proprietary
At a glance
Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.
- Tasks that involve Image editing
- SKILL.md covers Overview, Image Operations and Dependencies
- Calls apt
What it does
Image Editing is an agent skill from benchflow-ai/skillsbench. Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Image editing. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them.
When your agent uses it
- Tasks that involve Image editing
Example prompts
- “/image-editing”
What it can do on your machine
Read from SKILL.md and the folder at commit 9a1f4dd. 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:
apt
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
Image Editing loads about 1.1k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 613 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.
- NoteRuns commands with sudoSKILL.md:89
- convert: Run `sudo apt install imagemagick` to install. After that, you can use `convert` command.
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 (Proprietary) doesn't allow us to republish the file, so here is its outline and opening line. It has 613 words (~1,082 tokens).
“This guide covers essential image processing operations using ImageMagick, a collection of command-line tools that can be applied to modify and manipulate images. With this toolkit, you can edit images in batch on Linux command-line.”
- name
- image-editing
- license
- Proprietary. LICENSE.txt has complete terms
Files
Just SKILL.md in tasks/mario-coin-counting/environment/skills/image-editing of benchflow-ai/skillsbench.
Open the folder on GitHubat commit 9a1f4dd
Compare with similar skills
Image Editing 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 |
|---|---|---|---|---|---|---|
| Image Editing this skillbenchflow-ai/skillsbench | 1.8k | — | ~1.1k | Automated safety check: Notes | Proprietary | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Media Useedenfunf/reelmimic | 1.7k | 2 repos | ~2k | 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 | |
| HyperFrames Media Useheygen-com/hyperframes | 59k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Media Use
edenfunf/reelmimic
Agent Media OS, the single skill for every media need in a HyperFrames project.
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.
HyperFrames Media Use
heygen-com/hyperframes
Finds, generates and edits media for HyperFrames video projects: music, sound effects, images, icons, logos, voiceovers, captions and color grades.
Nanobanana
ReScienceLab/opc-skills
Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro).
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Related
Categories
Questions about Image Editing
What does Image Editing do?
Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more. Image Editing is an agent skill from benchflow-ai/skillsbench. Comprehensive command-line tools for modifying and manipulating images, such as resize, blur, crop, flip, and many more.
When should I use Image Editing?
Image Editing fits situations like: tasks that involve Image editing.
How do I install Image Editing in Claude Code?
Run `npx skills add benchflow-ai/skillsbench --skill image-editing -a claude-code`. Or copy the skill folder (tasks/mario-coin-counting/environment/skills/image-editing in benchflow-ai/skillsbench) into .claude/skills/image-editing in your project. Claude Code loads it when a task matches its description.
How do I install Image Editing in Codex?
Run `npx skills add benchflow-ai/skillsbench --skill image-editing -a codex`. Or copy the skill folder (tasks/mario-coin-counting/environment/skills/image-editing in benchflow-ai/skillsbench) into .agents/skills/image-editing in your project. Codex loads it when a task matches its description.
Can I use Image Editing 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 benchflow-ai/skillsbench --skill image-editing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-editing, .gemini/skills/image-editing, .github/skills/image-editing and .opencode/skills/image-editing in your project.
What does Image Editing need to run?
Going by SKILL.md and its folder, Image Editing needs the command-line tools its instructions call (apt).
Does Image Editing 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 Image Editing safe to install?
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Image Editing use?
Image Editing carries a proprietary licence (declared in SKILL.md). It is published on GitHub, but it is not open source: read the licence file before using or sharing it.
How many tokens does Image Editing use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Image Editing?
Skills that share tags, products or a category with Image Editing: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Media Use (edenfunf/reelmimic, 1.7k stars), Generate Image (ynulihao/AgentSkillOS, 617 stars) and GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Editing?
benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.
Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.