Color Expert
nexu-io/open-design
Color science expert skill with 286K words of reference material covering OKLCH/OKLAB, palette generation, accessibility/contrast, color naming, pigment mixing, and historical color theory.
A skill your agent uses when working with Kornia image tensors, color conversion, filters, enhancement, morphology, drawing, or image I/O workflows.
Custom licenceAuto-check passed
Install Image Processing
$ npx skills add VectorSpaceLab/AREX-Skill --skill image-processing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill image-processing --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .claude/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .claude/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processingType 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 VectorSpaceLab/AREX-Skill --skill image-processing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill image-processing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .agents/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .agents/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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 VectorSpaceLab/AREX-Skill --skill image-processing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill image-processing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .cursor/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .cursor/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/kornia/sub-skills/image-processing--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 VectorSpaceLab/AREX-Skill --skill image-processing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill image-processing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .gemini/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .gemini/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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 VectorSpaceLab/AREX-Skill image-processingInstalls 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 VectorSpaceLab/AREX-Skill --skill image-processing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .github/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .github/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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 VectorSpaceLab/AREX-Skill --skill image-processing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill image-processing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/kornia/sub-skills/image-processing .opencode/skills/image-processing && 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-processing" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/kornia/sub-skills/image-processing into .opencode/skills/image-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-processing", 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-processing- GitHub stars
- 328
- Token cost
- ~1.3k tokens
- SKILL.md length
- 560 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 159
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when working with Kornia image tensors, color conversion, filters, enhancement, morphology, drawing, or image I/O workflows.
- Works in 5 steps: Normalize the input contract before… → Pick functionals for one-off operations… → Preserve device and dtype intentionally.… → …
- Working with Kornia image tensors
- SKILL.md covers Read first, Scope, Operating workflow and Common workflows, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Image Processing is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with Kornia image tensors, color conversion, filters, enhancement, morphology, drawing, or image I/O workflows.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/api-reference.md`, `references/dtype-and-layout.md` and `references/troubleshooting.md`).
The repository describes itself as: A Skill Library for Automated Machine Learning.
When your agent uses it
- Working with Kornia image tensors
- Color conversion
- Image I/O workflows
Example prompts
- “/image-processing”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Normalize the input contract before selecting an operator.
- Pick functionals for one-off operations and nn.Module wrappers when the operation belongs inside a model or pipeline.
- Preserve device and dtype intentionally. Kornia operators generally follow the input tensor device; some linalg, FFT, or low-precision…
- Validate outputs with simple assertions: expected shape, finite values, channel count, and range when applicable.
- If combining with random augmentation, hand off after deterministic preprocessing rather than duplicating augmentation container rules here.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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 Processing loads about 1.3k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 36 tokens; SKILL.md has 560 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); the scripts in this folder 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 560 words (~1,270 tokens).
“Use this sub-skill for Kornia's deterministic image-processing operators: color spaces, filtering, enhancement, morphology, image drawing, tensor/image conversion, and file I/O.”
- name
- image-processing
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- NOASSERTION
Files
SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/kornia/sub-skills/image-processing of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/api-reference.md
- references/dtype-and-layout.md
- references/troubleshooting.md
- references/workflows.md
- scripts/processing_smoke.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Image Processing 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 Processing this skillVectorSpaceLab/AREX-Skill | 328 | — | ~1.3k | Automated safety check: Pass | Custom licence | |
| Color Expertnexu-io/open-design | 100k | — | ~331 | Automated safety check: Pass | Apache-2.0 | |
| Filterzalando/skipper | 3.3k | — | ~527 | Automated safety check: Pass | MIT | |
| Nwb ConversionK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Nutrient Document Processingaffaan-m/ECC | 274k | 4 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Cost Conversationruvnet/ruflo | 74k | — | ~407 | Automated safety check: Notes | MIT |
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Questions about Image Processing
What does Image Processing do?
A skill your agent uses when working with Kornia image tensors, color conversion, filters, enhancement, morphology, drawing, or image I/O workflows. Image Processing is an agent skill from VectorSpaceLab/AREX-Skill. Use when working with Kornia image tensors, color conversion, filters, enhancement, morphology, drawing, or image I/O workflows.
When should I use Image Processing?
Image Processing fits situations like: working with Kornia image tensors; color conversion; image I/O workflows.
How do I install Image Processing in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill image-processing -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/kornia/sub-skills/image-processing in VectorSpaceLab/AREX-Skill) into .claude/skills/image-processing in your project. Claude Code loads it when a task matches its description.
How do I install Image Processing in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill image-processing -a codex`. Or copy the skill folder (skills/repositories/repo-skills/kornia/sub-skills/image-processing in VectorSpaceLab/AREX-Skill) into .agents/skills/image-processing in your project. Codex loads it when a task matches its description.
Can I use Image Processing 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 VectorSpaceLab/AREX-Skill --skill image-processing -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-processing, .gemini/skills/image-processing, .github/skills/image-processing and .opencode/skills/image-processing in your project.
What does Image Processing need to run?
Going by SKILL.md and its folder, Image Processing needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Image Processing 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 Processing 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Image Processing use?
Image Processing has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Image Processing use?
About 1.3k tokens (SKILL.md is roughly 5.1k 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 2.5k tokens, read only when the agent opens those files.
What are the alternatives to Image Processing?
Skills that share tags, products or a category with Image Processing: Color Expert (nexu-io/open-design, 100k stars), Filter (zalando/skipper, 3.3k stars), Nwb Conversion (K-Dense-AI/scientific-agent-skills, 48k stars) and Nutrient Document Processing (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Processing?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 159 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.