Remote Sensing Research Radar
limi124/remote-sensing-research-radar
Track, retrieve, screen, and synthesize research frontiers for geospatial AI, remote sensing big data, and transferable computer vision methods.
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters.
Install Matlab Process Large Images
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-process-large-images -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-process-large-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-process-large-images .claude/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .claude/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-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-process-large-images -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-process-large-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-process-large-images .agents/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .agents/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-images -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-process-large-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-process-large-images .cursor/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .cursor/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-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-process-large-images -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-process-large-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-process-large-images .gemini/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .gemini/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-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-process-large-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-process-large-images .github/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .github/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-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-process-large-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-process-large-images .opencode/skills/matlab-process-large-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-process-large-images" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-process-large-images into .opencode/skills/matlab-process-large-images/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-process-large-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-process-large-images- GitHub stars
- 1.1k
- Token cost
- ~3k tokens
- SKILL.md length
- 1,199 words
- Files
- 9 (incl. references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters.
- Works in 2 steps: Prototype on a coarse level. Use… → Prototype on an ROI. Extract a small…
- Writing code that creates
- SKILL.md covers When to Use, When NOT to Use, When to use blockedImage and When the user points you at a…, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Process Large Images is an agent skill from matlab/matlab-agentic-toolkit. Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters. Use when writing code that creates, processes, or visualizes blockedImage objects, when implementing images.blocked.Adapter subclasses, or when a user needs help with large image data. Always use this skill when working with TIFF,GeoTIFF, .svs, .ndpi, .czi or other WSI, satellite imagery or microscopy volume image formats.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `manifest.yaml`, `references/3d-volumes.md` and `references/data-discovery.md`).
It sits in Data & Analytics, covering Geospatial analysis and Computer vision. 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
- Writing code that creates
- Visualizes blockedImage objects
- Implementing images.blocked.Adapter subclasses
- A user needs help with large image data
Example prompts
- “Use the matlab-process-large-images skill to pattern for using blockedImage to process large images, harness parallel compute for image processing…”
- “/matlab-process-large-images”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- Prototype on a coarse level. Use gather(bim, Level=bim.NumLevels) to load the coarsest level into memory. Develop and tune parameters on…
- Prototype on an ROI. Extract a small region with representative features using getRegion, tune parameters, then apply
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 Process Large Images loads about 3k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 1,199 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 1,199 words (~2,999 tokens).
“Reference files (read on demand when the topic comes up):”
- name
- matlab-process-large-images
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 8 other files (references) in skills-catalog/image-processing-and-computer-vision/matlab-process-large-images of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/3d-volumes.md
- references/data-discovery.md
- references/geospatial.md
- references/specialized-workflows.md
- references/training-and-labeling.md
- references/visualization.md
- references/whole-slide-images.md
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Process Large 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 Process Large Images this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~3k | Automated safety check: Pass | Custom licence | |
| Remote Sensing Research Radarlimi124/remote-sensing-research-radar | 143 | — | ~1.3k | Automated safety check: Pass | None | |
| Tao Train BevfusionNVIDIA/skills | 3.5k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | |
| Tao Train PointpillarsNVIDIA/skills | 3.5k | — | ~4k | Automated safety check: Notes | Apache-2.0 | |
| Robot Perceptionarpitg1304/robotics-agent-skills | 369 | — | ~15k | Automated safety check: Pass | Apache-2.0 | |
| Scholar Computejoshzyj/open-scholar-skill | 168 | — | ~15k | Automated safety check: Pass | Custom licence |
Similar skills
- Official
Tao Train Bevfusion
NVIDIA/skills
BEVFusion for multi-sensor 3D object detection. An agent skill from NVIDIA/skills.
- Official
Tao Train Pointpillars
NVIDIA/skills
PointPillars for 3D object detection from LiDAR point clouds.
Robot Perception
arpitg1304/robotics-agent-skills
Comprehensive best practices for robot perception systems covering cameras, LiDARs, depth sensors, IMUs, and multi-sensor setups.
Scholar Compute
joshzyj/open-scholar-skill
Design and execute computational social science analyses across 11 modules: text-as-data/NLP (STM, BERTopic, Wordfish, BERT, conText embedding regression, LLM annotation + DSL bias correction…
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.
More from matlab/matlab-agentic-toolkit
All 151 skills in this repoMatlab Analyze Time Frequency Content
matlab/matlab-agentic-toolkit
Perform time-frequency analysis in MATLAB using CWT, STFT, synchrosqueezing, reassignment, wavelet coherence, cross spectrogram, EMD/VMD, multiresolution analysis, and time-frequency filtering.
Matlab Design Radar
matlab/matlab-agentic-toolkit
Launch and control the MATLAB Radar Designer app programmatically via MCP.
Matlab Engineer Tabular Features
matlab/matlab-agentic-toolkit
A skill your agent uses when engineering or selecting the best features for single-response classification or regression in MATLAB, whatever the data's modality — for non-tabular data it routes…
Matlab Enhance Camera Image
matlab/matlab-agentic-toolkit
Read BEFORE troubleshooting or enhancing camera image quality.
Matlab Import External AI Model
matlab/matlab-agentic-toolkit
Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects.
Matlab Modernize Daq
matlab/matlab-agentic-toolkit
Port MATLAB Data Acquisition Toolbox code from the discouraged (legacy) session-based interface (daq.createSession, addAnalogInputChannel, startBackground, DataAvailable listeners, queueOutputData…
Related
Categories
Questions about Matlab Process Large Images
What does Matlab Process Large Images do?
Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters. Matlab Process Large Images is an agent skill from matlab/matlab-agentic-toolkit. Patterns for using blockedImage to process large images, harness parallel compute for image processing, and write custom adapters.
When should I use Matlab Process Large Images?
Matlab Process Large Images fits situations like: writing code that creates; visualizes blockedImage objects; implementing images.blocked.Adapter subclasses; A user needs help with large image data.
How do I install Matlab Process Large Images in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-process-large-images -a claude-code`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-process-large-images in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-process-large-images in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Process Large Images in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-process-large-images -a codex`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-process-large-images in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-process-large-images in your project. Codex loads it when a task matches its description.
Can I use Matlab Process Large 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-process-large-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-process-large-images, .gemini/skills/matlab-process-large-images, .github/skills/matlab-process-large-images and .opencode/skills/matlab-process-large-images in your project.
What does Matlab Process Large Images need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Process Large Images is instructions for the agent only.
Does Matlab Process Large 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 Process Large 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 Process Large Images use?
Matlab Process Large 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 Process Large Images use?
About 3k tokens (SKILL.md is roughly 12k 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 14k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Process Large Images?
Skills that share tags, products or a category with Matlab Process Large Images: Remote Sensing Research Radar (limi124/remote-sensing-research-radar, 143 stars), Tao Train Bevfusion (NVIDIA/skills, 3.5k stars), Tao Train Pointpillars (NVIDIA/skills, 3.5k stars) and Robot Perception (arpitg1304/robotics-agent-skills, 369 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Process Large Images?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,144 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.