Homepage Generator
wanshuiyin/ARIS-in-AI-Offer
Generate a fact-checked academic personal homepage from a CV, optionally augmented by an existing manual homepage and an assets directory.
Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-integrate-pytorch-vision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-integrate-pytorch-vision --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-integrate-pytorch-vision .claude/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .claude/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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-integrate-pytorch-visionType 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-integrate-pytorch-vision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-integrate-pytorch-vision --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-integrate-pytorch-vision .agents/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .agents/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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-integrate-pytorch-vision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-integrate-pytorch-vision --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-integrate-pytorch-vision .cursor/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .cursor/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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-integrate-pytorch-vision--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-integrate-pytorch-vision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-integrate-pytorch-vision --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-integrate-pytorch-vision .gemini/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .gemini/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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-integrate-pytorch-visionInstalls 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-integrate-pytorch-vision -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-integrate-pytorch-vision .github/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .github/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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-integrate-pytorch-vision -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-integrate-pytorch-vision --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-integrate-pytorch-vision .opencode/skills/matlab-integrate-pytorch-vision && 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-integrate-pytorch-vision" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision into .opencode/skills/matlab-integrate-pytorch-vision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-integrate-pytorch-vision", 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.
matlab-integrate-pytorch-visionCreates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq.
Matlab Integrate Pytorch Vision is an agent skill from matlab/matlab-agentic-toolkit. Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq. Use when asked to interface MATLAB with a Python CV/image model (segmentation, depth estimation, object detection, image generation, super-resolution, etc.), given a GitHub repo URL for an image/vision model, or asked to create an MPyReq demo for a deep-learning vision pipeline. Do NOT use for general-purpose Python-MATLAB interfacing, non-vision models (NLP, tabular…
Its SKILL.md is about 3.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `manifest.yaml`, `references/common_gotchas.md` and `references/demo-birefnet.md`).
It sits in AI & LLM Engineering, covering Computer vision and Deep learning. It works with Python, PyTorch, GitHub and Model Context Protocol. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 69e71df. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
github.comAlso links to:
mathworks.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Matlab Integrate Pytorch Vision loads about 3.7k tokens when it runs, and up to ~9k if it reads all its reference files. Until then it costs about 157 tokens; SKILL.md has 1,358 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.
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.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,358 words (~3,731 tokens).
“Build a MATLAB interface to a Python/PyTorch model repository using the MPyReq framework.”
SKILL.md and 11 other files (references) in skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision of matlab/matlab-agentic-toolkit.
Open the folder on GitHubat commit 69e71df
Matlab Integrate Pytorch Vision 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 Integrate Pytorch Vision this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Homepage Generatorwanshuiyin/ARIS-in-AI-Offer | 583 | — | ~4.8k | Automated safety check: Notes | MIT | |
| Triaging Issuespytorch/pytorch | 104k | — | ~4.2k | Automated safety check: Pass | Custom licence | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Benchmark Pyreflyfacebook/pyrefly | 7.1k | — | ~1.8k | Automated safety check: Pass | MIT | |
| Document Public APIspytorch/pytorch | 104k | — | ~4.2k | Automated safety check: Pass | Custom licence |
wanshuiyin/ARIS-in-AI-Offer
Generate a fact-checked academic personal homepage from a CV, optionally augmented by an existing manual homepage and an assets directory.
pytorch/pytorch
Triages GitHub issues by routing to oncall teams, applying labels, and closing questions.
Orchestra-Research/AI-Research-SKILLs
Explains OpenAI's CLIP model for zero-shot image classification, image-text similarity, semantic image search and content moderation, with install steps and code patterns.
facebook/pyrefly
Run Pyrefly benchmarks locally via Buck or Cargo, including PyTorch real-world LSP benchmarks.
pytorch/pytorch
Document undocumented public APIs in PyTorch by removing functions from coverageignorefunctions and coverageignoreclasses in docs/source/conf.py, running Sphinx coverage, and adding the appropriate…
pytorch/pytorch
Fix bugs reported in PyTorch GitHub issues by reproducing, root-causing, and implementing a fix in the local working tree.
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/matlab-agentic-toolkit
Launch and control the MATLAB Radar Designer app programmatically via MCP.
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/matlab-agentic-toolkit
Read BEFORE troubleshooting or enhancing camera image quality.
matlab/matlab-agentic-toolkit
Import PyTorch, ONNX, or Keras 3 / TensorFlow 2.16+ deep learning models into MATLAB as dlnetwork objects.
matlab/matlab-agentic-toolkit
Port MATLAB Data Acquisition Toolbox code from the discouraged (legacy) session-based interface (daq.createSession, addAnalogInputChannel, startBackground, DataAvailable listeners, queueOutputData…
Categories
Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq. Matlab Integrate Pytorch Vision is an agent skill from matlab/matlab-agentic-toolkit. Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq.
Matlab Integrate Pytorch Vision fits situations like: asked to interface MATLAB with a Python CV/image model (segmentation; depth estimation; object detection; image generation.
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-integrate-pytorch-vision -a claude-code`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-integrate-pytorch-vision in your project. Claude Code loads it when a task matches its description.
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-integrate-pytorch-vision -a codex`. Or copy the skill folder (skills-catalog/image-processing-and-computer-vision/matlab-integrate-pytorch-vision in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-integrate-pytorch-vision in your project. Codex loads it when a task matches its description.
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-integrate-pytorch-vision -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-integrate-pytorch-vision, .gemini/skills/matlab-integrate-pytorch-vision, .github/skills/matlab-integrate-pytorch-vision and .opencode/skills/matlab-integrate-pytorch-vision in your project.
Going by SKILL.md and its folder, Matlab Integrate Pytorch Vision needs the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: mathworks.com. This is read from the text; nothing was executed.
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.
Matlab Integrate Pytorch Vision has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
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 5.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Matlab Integrate Pytorch Vision: Homepage Generator (wanshuiyin/ARIS-in-AI-Offer, 583 stars), Triaging Issues (pytorch/pytorch, 104k stars), CLIP Image-Text Matching (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Benchmark Pyrefly (facebook/pyrefly, 7.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.