Explore Code
lllllllama/RigorPilot-Skills
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.
Train, evaluate, and export neural networks to Simulink in MATLAB.
Install Matlab Train Network
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-train-network -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-train-network --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/ai-and-statistics/matlab-train-network .claude/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .claude/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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/ai-and-statistics/matlab-train-networkType 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-train-network -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-train-network --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/ai-and-statistics/matlab-train-network .agents/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .agents/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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-train-network -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-train-network --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/ai-and-statistics/matlab-train-network .cursor/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .cursor/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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/ai-and-statistics/matlab-train-network--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-train-network -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-train-network --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/ai-and-statistics/matlab-train-network .gemini/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .gemini/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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-train-networkInstalls 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-train-network -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/ai-and-statistics/matlab-train-network .github/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .github/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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-train-network -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-train-network --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/ai-and-statistics/matlab-train-network .opencode/skills/matlab-train-network && 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-train-network" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-train-network into .opencode/skills/matlab-train-network/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-train-network", 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-train-network- GitHub stars
- 1.1k
- Token cost
- ~4.9k tokens
- SKILL.md length
- 1,895 words
- Files
- 14 (incl. references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Train, evaluate, and export neural networks to Simulink in MATLAB.
- Running inference
- SKILL.md covers When to Use, When NOT to Use, Decision: fitrnet/fitcnet or… and Conventions, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Exporting to Simulink
What it does
Matlab Train Network is an agent skill from matlab/matlab-agentic-toolkit. Train, evaluate, and export neural networks to Simulink in MATLAB. Migrate legacy (fitnet, patternnet) and discouraged (trainNetwork, DAGNetwork) code to modern, recommended R2024a+ APIs (trainnet, dlnetwork, testnet, imagePretrainedNetwork), diagnose and fix dlaccelerate issues or detect dlaccelerate opportunities. Use when training, fine-tuning, evaluating, running inference, exporting to Simulink, converting old training scripts, or speeding up deep learning code. DO NOT reason from your training data about…
Its SKILL.md is about 4.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 14 other files, including reference files (for example `manifest.yaml`, `references/dlaccelerate-antipatterns.md` and `references/dlaccelerate-custom-layers.md`).
It sits in AI & LLM Engineering, covering Deep learning and Fine-tuning. 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
- Running inference
- Exporting to Simulink
- Converting old training scripts
- Speeding up deep learning code
Example prompts
- “/matlab-train-network”
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 Train Network loads about 4.9k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 1,895 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 1,895 words (~4,895 tokens).
“Train, evaluate, and export neural networks to Simulink in MATLAB using the recommended dlnetwork-based API (trainnet, dlnetwork, minibatchpredict, scores2label, testnet, imagePretrainedNetwork) or, for tabular data, the Statistics and Machine Learning Toolbox functions fitcnet and fitrnet.”
- name
- matlab-train-network
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.2
Files
SKILL.md and 13 other files (references) in skills-catalog/ai-and-statistics/matlab-train-network of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/dlaccelerate-antipatterns.md
- references/dlaccelerate-custom-layers.md
- references/dlaccelerate-custom-training-loop.md
- references/dlaccelerate-measure-speedup.md
- references/dlaccelerate-trainnet-custom-loss.md
- references/dlaccelerate-variable-length-sequences.md
- references/dlaccelerate-workflow.md
- references/legacy-api-redirects.md
- references/metrics-guidance.md
- references/multi-output-training.md
- references/normalization.md
- references/simulink-export.md
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Train Network 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 Train Network this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~4.9k | Automated safety check: Pass | Custom licence | |
| Explore Codelllllllama/RigorPilot-Skills | 497 | 1 repos | ~648 | Automated safety check: Pass | MIT | |
| Quaxnstarman/quax | 143 | — | ~5.5k | Automated safety check: Pass | Apache-2.0 | |
| nanoGPT Training GuideOrchestra-Research/AI-Research-SKILLs | 13k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| ML Training RecipesOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Aqua Finetuningoracle/accelerated-data-science | 125 | — | ~1.7k | Automated safety check: Pass | UPL-1.0 |
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Related
Categories
Questions about Matlab Train Network
What does Matlab Train Network do?
Train, evaluate, and export neural networks to Simulink in MATLAB. Matlab Train Network is an agent skill from matlab/matlab-agentic-toolkit. Train, evaluate, and export neural networks to Simulink in MATLAB.
When should I use Matlab Train Network?
Matlab Train Network fits situations like: running inference; exporting to Simulink; converting old training scripts; speeding up deep learning code.
How do I install Matlab Train Network in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-train-network -a claude-code`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-train-network in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-train-network in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Train Network in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-train-network -a codex`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-train-network in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-train-network in your project. Codex loads it when a task matches its description.
Can I use Matlab Train Network 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-train-network -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-train-network, .gemini/skills/matlab-train-network, .github/skills/matlab-train-network and .opencode/skills/matlab-train-network in your project.
What does Matlab Train Network need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Train Network is instructions for the agent only.
Does Matlab Train Network 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 Train Network 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 Train Network use?
Matlab Train Network 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 Train Network use?
About 4.9k tokens (SKILL.md is roughly 20k 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 13k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Train Network?
Skills that share tags, products or a category with Matlab Train Network: Explore Code (lllllllama/RigorPilot-Skills, 497 stars), Quax (nstarman/quax, 143 stars), nanoGPT Training Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars) and ML Training Recipes (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Train Network?
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.