Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
Work with hyperspectral and multispectral images in MATLAB. An agent skill from matlab/matlab-agentic-toolkit.
Install Matlab Analyze Spectral Images
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-analyze-spectral-images --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/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .claude/skills/matlab-analyze-spectral-images && 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 "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .claude/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-imagesType 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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-analyze-spectral-images --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .agents/skills/matlab-analyze-spectral-images && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .agents/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-analyze-spectral-images --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .cursor/skills/matlab-analyze-spectral-images && 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 "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .cursor/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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/matlab/matlab-agentic-toolkit.git --path skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images--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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-analyze-spectral-images --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .gemini/skills/matlab-analyze-spectral-images && 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 "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .gemini/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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 matlab/matlab-agentic-toolkit matlab-analyze-spectral-imagesInstalls 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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .github/skills/matlab-analyze-spectral-images && 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 "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .github/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-analyze-spectral-images --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images .opencode/skills/matlab-analyze-spectral-images && 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 "matlab-analyze-spectral-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images into .opencode/skills/matlab-analyze-spectral-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-analyze-spectral-images", 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
matlab-analyze-spectral-images- GitHub stars
- 1.1k
- Token cost
- ~3.7k tokens
- SKILL.md length
- 776 words
- Files
- 8 (incl. references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Work with hyperspectral and multispectral images in MATLAB. An agent skill from matlab/matlab-agentic-toolkit.
- Works in 12 steps: NEVER use hypercube() — deprecated. Use… → cropData(hcube, 30:110, 30:110) —… → selectBands/removeBands require… → …
- Applying deep learning to hyperspectral
- SKILL.md covers When to Use, When NOT to Use, Prerequisite Check and Quick Start, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Analyze Spectral Images is an agent skill from matlab/matlab-agentic-toolkit. Work with hyperspectral and multispectral images in MATLAB. Covers reading/writing (ENVI, NITF, TIFF, Sentinel-2, Landsat, ASTER), ECOSTRESS spectral libraries, processing (calibration, atmospheric correction, denoising, sharpening, dimensionality reduction, endmember extraction, unmixing, target/anomaly detection, spectral indices, segmentation), labeling (Spectral Image Labeler app, ground truth objects, automation algorithms), and deep learning (pixel classification CNNs, unmixing autoencoders, transfer…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `manifest.yaml`, `references/dl-advanced.md` and `references/dl-classification.md`).
It sits in AI & LLM Engineering, covering Deep learning, Computer vision and Anomaly detection. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
When your agent uses it
- Applying deep learning to hyperspectral
- Multispectral images
Example prompts
- “/matlab-analyze-spectral-images”
Workflow steps
12 steps, taken from the first numbered list in SKILL.md.
- NEVER use hypercube() — deprecated. Use imhypercube() or geohypercube().
- cropData(hcube, 30:110, 30:110) — row/col INDEX VECTORS, not [x y w h]
- selectBands/removeBands require Name=Value: selectBands(hcube, BandNumber=[1 10 20]), removeBands(hcube, Wavelength=[1350 1450])…
- customSpectralIndex(spcube, [800 670], @(nir,red) (nir-red)./(nir+red)) — 3 args required
- apply(hcube, @(block) mean(gather(block), 3)) — callback receives OBJECT, use gather()
- inverseProjection(pcaCube, coeff) — data first, coefficients second
- spectralMatch(libData, hcube) — struct from readEcostressSig FIRST. For numeric: use sam(hcube, target) directly.
- L = hyperseganchor(hcube, 8) (1 output); [L, n] = hyperslic(hcube, 100) (2 outputs)
- immulticube does NOT support ENVI. Sentinel-2: pass manifest.safe (NOT .SAFE folder). Landsat: *_MTL.txt. ASTER: .hdf.
- spectralIndices(hcube, "NDVI") → struct with .IndexName/.IndexImage. Use ndvi(hcube) for numeric.
- hyperslic with 3 bands: hyperslic(data, 100, IsInputDimReduced=true). Only params: NumIterations (max 30), IsInputDimReduced. NO…
- detectTarget(hcube, target, "ACE") — method is POSITIONAL, not Name=Value
What it can do on your machine
Read from SKILL.md and the folder at commit 69e71df. 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 matlab).
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
Matlab Analyze Spectral Images loads about 3.7k tokens when it runs, and up to ~21k if it reads all its reference files. Until then it costs about 174 tokens; SKILL.md has 776 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 776 words (~3,704 tokens).
“Generate MATLAB code for working with hyperspectral and multispectral data using the Hyperspectral Imaging Library for Image Processing Toolbox. Requires desktop MATLAB (not MATLAB Online or MATLAB Mobile) and the Hyperspectral Imaging Library add-on.”
- name
- matlab-analyze-spectral-images
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 7 other files (references) in skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/dl-advanced.md
- references/dl-classification.md
- references/spectral-analysis.md
- references/spectral-calibration.md
- references/spectral-deep-learning.md
- references/spectral-io.md
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Analyze Spectral Images 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 |
|---|---|---|---|---|---|---|
| Matlab Analyze Spectral Images this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| Physicsnemo DiscoverNVIDIA/skills | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Mixing Transformsalbumentations-team/AlbumentationsX | 567 | — | ~1.3k | Automated safety check: Pass | AGPL-3.0 | |
| Performance Optimizationalbumentations-team/AlbumentationsX | 567 | — | ~1.7k | Automated safety check: Pass | AGPL-3.0 |
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Categories
Questions about Matlab Analyze Spectral Images
What does Matlab Analyze Spectral Images do?
Work with hyperspectral and multispectral images in MATLAB. An agent skill from matlab/matlab-agentic-toolkit. Matlab Analyze Spectral Images is an agent skill from matlab/matlab-agentic-toolkit. Work with hyperspectral and multispectral images in MATLAB.
When should I use Matlab Analyze Spectral Images?
Matlab Analyze Spectral Images fits situations like: applying deep learning to hyperspectral; multispectral images.
How do I install Matlab Analyze Spectral Images in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a claude-code`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-analyze-spectral-images in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Analyze Spectral Images in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a codex`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-analyze-spectral-images in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-analyze-spectral-images in your project. Codex loads it when a task matches its description.
Can I use Matlab Analyze Spectral Images 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 matlab/matlab-agentic-toolkit --skill matlab-analyze-spectral-images -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/matlab-analyze-spectral-images, .gemini/skills/matlab-analyze-spectral-images, .github/skills/matlab-analyze-spectral-images and .opencode/skills/matlab-analyze-spectral-images in your project.
What does Matlab Analyze Spectral Images need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Analyze Spectral Images is instructions for the agent only.
Does Matlab Analyze Spectral Images 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 Matlab Analyze Spectral Images 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 Matlab Analyze Spectral Images use?
Matlab Analyze Spectral Images 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 Matlab Analyze Spectral Images use?
About 3.7k tokens (SKILL.md is roughly 15k 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 17k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Analyze Spectral Images?
Skills that share tags, products or a category with Matlab Analyze Spectral Images: Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars), Physicsnemo Discover (NVIDIA/skills, 3.6k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Mixing Transforms (albumentations-team/AlbumentationsX, 567 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Analyze Spectral Images?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,147 GitHub stars. The repository holds 151 skills in this directory. The repository was last updated on October 8, 2026.
Source: matlab/matlab-agentic-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.