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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…
Install Matlab Engineer Tabular Features
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-engineer-tabular-features -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-engineer-tabular-features --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-engineer-tabular-features .claude/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .claude/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-featuresType 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-engineer-tabular-features -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-engineer-tabular-features --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-engineer-tabular-features .agents/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .agents/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-features -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-engineer-tabular-features --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-engineer-tabular-features .cursor/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .cursor/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-features--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-engineer-tabular-features -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-engineer-tabular-features --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-engineer-tabular-features .gemini/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .gemini/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-featuresInstalls 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-engineer-tabular-features -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-engineer-tabular-features .github/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .github/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-features -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-engineer-tabular-features --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-engineer-tabular-features .opencode/skills/matlab-engineer-tabular-features && 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-engineer-tabular-features" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-engineer-tabular-features into .opencode/skills/matlab-engineer-tabular-features/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-engineer-tabular-features", 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-engineer-tabular-features- GitHub stars
- 1.1k
- Token cost
- ~4.8k tokens
- SKILL.md length
- 2,085 words
- Files
- 63 (incl. scripts, references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
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…
- Works in 7 steps: Intake — references/intake.md → Feature pool — references/feature-pool.md → Select — references/select.md → …
- Selecting the best features for single-response classification
- SKILL.md covers When to Use, When NOT to Use, Running MATLAB and Communication style while…, plus 3 more sections
- Regression in MATLAB
What it does
Matlab Engineer Tabular Features is an agent skill from matlab/matlab-agentic-toolkit. Use 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 extraction to a domain skill, then selects, assesses, and delivers on the resulting table. Not for multi-response problems, model training, or raw data acquisition.
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 64 other files, including scripts and reference files (for example `manifest.yaml`, `references/assess.md` and `references/deliver.md`).
It sits in Data & Analytics, covering 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
- Selecting the best features for single-response classification
- Regression in MATLAB
- Whatever the datas modality — for non-tabular data it routes extraction to a domain skill
- Delivers on the resulting table
Example prompts
- “/matlab-engineer-tabular-features”
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Intake — references/intake.md
- Feature pool — references/feature-pool.md
- Select — references/select.md
- Assess — references/assess.md
- Deliver — references/deliver.md
- Report — references/report.md
- Hand off to model training (offer, don't invoke)
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
Ships 7 files in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
mathworks.com
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 Engineer Tabular Features loads about 4.8k tokens when it runs, and up to ~37k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 2,085 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 2,085 words (~4,786 tokens).
“A lean, functional pipeline: intake → feature pool → select → assess → deliver → report. There is no shared context object — each phase is a direct call to leaf utilities in scripts/, and the reference file for each…”
- name
- matlab-engineer-tabular-features
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.0
Files
SKILL.md and 62 other files (scripts, references) in skills-catalog/ai-and-statistics/matlab-engineer-tabular-features of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/assess.md
- references/deliver.md
- references/domain-routing.md
- references/feature-pool.md
- references/intake.md
- references/internal-helpers.md
- references/provider-protocol.md
- references/report.md
- references/reproduce-pool.md
- references/select.md
- scripts/BordaVoter.m
- scripts/ConsensusVoter.m
- scripts/MajorityVoter.m
- scripts/RRFVoter.m
- scripts/assessGenerationStability.m
- scripts/assessKFold.m
- scripts/assessSelectionStability.m
- … and 44 more
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Engineer Tabular Features 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 Engineer Tabular Features this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~4.8k | Automated safety check: Pass | Custom licence | |
| Anomalib Tiled Ensembleopen-edge-platform/anomalib | 6.2k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| AI Pipeline Orchestrationsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Tao Finetune Nv Tesseract Ad DiffusionNVIDIA/skills | 3.5k | — | ~2.9k | Automated safety check: Notes | Apache-2.0 | |
| Tao Finetune Nv Tesseract ForecastingNVIDIA/skills | 3.5k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | |
| Nvflare Fed StatsNVIDIA/skills | 3.5k | — | ~3k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Matlab Engineer Tabular Features
What does Matlab Engineer Tabular Features do?
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 Engineer Tabular Features is an agent skill from matlab/matlab-agentic-toolkit. Use 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 extraction to a domain skill, then selects, assesses, and delivers on the resulting table.
When should I use Matlab Engineer Tabular Features?
Matlab Engineer Tabular Features fits situations like: selecting the best features for single-response classification; regression in MATLAB; whatever the datas modality — for non-tabular data it routes extraction to a domain skill; delivers on the resulting table.
How do I install Matlab Engineer Tabular Features in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-engineer-tabular-features -a claude-code`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-engineer-tabular-features in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-engineer-tabular-features in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Engineer Tabular Features in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-engineer-tabular-features -a codex`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-engineer-tabular-features in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-engineer-tabular-features in your project. Codex loads it when a task matches its description.
Can I use Matlab Engineer Tabular Features 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-engineer-tabular-features -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-engineer-tabular-features, .gemini/skills/matlab-engineer-tabular-features, .github/skills/matlab-engineer-tabular-features and .opencode/skills/matlab-engineer-tabular-features in your project.
What does Matlab Engineer Tabular Features need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Engineer Tabular Features is instructions for the agent only.
Does Matlab Engineer Tabular Features access the network?
SKILL.md names 1 domain. As links in the text: mathworks.com. This is read from the text; nothing was executed.
Is Matlab Engineer Tabular Features 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 Matlab Engineer Tabular Features use?
Matlab Engineer Tabular Features 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 Engineer Tabular Features use?
About 4.8k tokens (SKILL.md is roughly 19k 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 32k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Engineer Tabular Features?
Skills that share tags, products or a category with Matlab Engineer Tabular Features: Anomalib Tiled Ensemble (open-edge-platform/anomalib, 6.2k stars), AI Pipeline Orchestration (sickn33/agentic-awesome-skills, 47k stars), Tao Finetune Nv Tesseract Ad Diffusion (NVIDIA/skills, 3.5k stars) and Tao Finetune Nv Tesseract Forecasting (NVIDIA/skills, 3.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Engineer Tabular Features?
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.