Data Scientist
davila7/claude-code-templates
Expert data scientist for advanced analytics, machine learning, and statistical modeling.
A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation…
Install Matlab Classify Tabular Data
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-classify-tabular-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-classify-tabular-data --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-classify-tabular-data .claude/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .claude/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-dataType 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-classify-tabular-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-classify-tabular-data --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-classify-tabular-data .agents/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .agents/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-classify-tabular-data --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-classify-tabular-data .cursor/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .cursor/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-data--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-classify-tabular-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-classify-tabular-data --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-classify-tabular-data .gemini/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .gemini/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-dataInstalls 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-classify-tabular-data -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-classify-tabular-data .github/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .github/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-data -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-classify-tabular-data --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-classify-tabular-data .opencode/skills/matlab-classify-tabular-data && 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-classify-tabular-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/ai-and-statistics/matlab-classify-tabular-data into .opencode/skills/matlab-classify-tabular-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-classify-tabular-data", 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-classify-tabular-data- GitHub stars
- 1.1k
- Token cost
- ~9.2k tokens
- SKILL.md length
- 4,076 words
- Files
- 45 (incl. scripts, references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation…
- Works in 12 steps: Load data → Analyze and clean data → Choose evaluation strategy → …
- Classify tabular data end-to-end in MATLAB — load a dataset
- SKILL.md covers When to Use, When NOT to Use, Running MATLAB and Communication style while…, plus 15 more sections
- Prepare and clean it
What it does
Matlab Classify Tabular Data is an agent skill from matlab/matlab-agentic-toolkit. Use this skill to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation, holdout, or hyperparameter optimization plus statistical tests. TRIGGER when: user asks to classify tabular data, pick classifiers for a dataset, compare classifier accuracy, run cross-validation or a holdout evaluation, or find the best model with statistical uncertainty. DO NOT TRIGGER when: user has non-tabular inputs…
Its SKILL.md is about 9.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 47 other files, including scripts and reference files (for example `manifest.yaml`, `references/README.md` and `references/dataprep.md`).
It sits in Data & Analytics, covering Machine learning, Statistics and Forecasting and time series. 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
- Classify tabular data end-to-end in MATLAB — load a dataset
- Prepare and clean it
- Select promising classifiers
- Compare accuracies with cross-validation
Example prompts
- “/matlab-classify-tabular-data”
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Load data
- Analyze and clean data
- Choose evaluation strategy
- Ask about interpretability
- Select and define model templates
- Get baseline accuracy estimates
- Choose the statistical comparison method
- Run the comparison
- Visualize
- Boosting learning curve
- Hyperparameter optimization (optional)
- Summary
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 10 files in scripts/, which the agent can run.
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 Classify Tabular Data loads about 9.2k tokens when it runs, and up to ~20k if it reads all its reference files. Until then it costs about 207 tokens; SKILL.md has 4,076 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 4,076 words (~9,191 tokens).
“Compare classifiers on the user's dataset and identify the top tier of models that are statistically equivalent in accuracy.”
- name
- matlab-classify-tabular-data
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.1
Files
SKILL.md and 44 other files (scripts, references) in skills-catalog/ai-and-statistics/matlab-classify-tabular-data of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/README.md
- references/dataprep.md
- references/hpo.md
- references/save-and-export.md
- references/select-classifiers-imbalanced.md
- references/select-classifiers.md
- scripts/README.md
- scripts/helpers/aggregate_nested_cv_loss.m
- scripts/helpers/apply_preproc.m
- scripts/helpers/build_model_definitions.m
- scripts/helpers/compute_data_flags.m
- scripts/helpers/compute_pairwise_pvalues_cv.m
- scripts/helpers/compute_pairwise_pvalues_holdout.m
- scripts/helpers/count_categorical_levels.p
- scripts/helpers/export_workflow_script.m
- scripts/helpers/find_zero_variance_columns.m
- … and 27 more
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Classify Tabular Data 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 Classify Tabular Data this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~9.2k | Automated safety check: Pass | Custom licence | |
| Data Scientistdavila7/claude-code-templates | 33k | 8 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Scientific Toolkit SkillzLanqing/codex-claude-academic-skills | 4.7k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Data Sciencetravisjneuman/.claude | 100 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Automl SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | |
| Bio Temporal Genomics Temporal GrnGPTomics/bioSkills | 1.2k | 1 repos | ~5k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Matlab Classify Tabular Data
What does Matlab Classify Tabular Data do?
A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation…. Matlab Classify Tabular Data is an agent skill from matlab/matlab-agentic-toolkit. Use this skill to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation, holdout, or hyperparameter optimization plus statistical tests.
When should I use Matlab Classify Tabular Data?
Matlab Classify Tabular Data fits situations like: classify tabular data end-to-end in MATLAB — load a dataset; prepare and clean it; select promising classifiers; compare accuracies with cross-validation.
How do I install Matlab Classify Tabular Data in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-classify-tabular-data -a claude-code`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-classify-tabular-data in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-classify-tabular-data in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Classify Tabular Data in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-classify-tabular-data -a codex`. Or copy the skill folder (skills-catalog/ai-and-statistics/matlab-classify-tabular-data in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-classify-tabular-data in your project. Codex loads it when a task matches its description.
Can I use Matlab Classify Tabular Data 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-classify-tabular-data -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-classify-tabular-data, .gemini/skills/matlab-classify-tabular-data, .github/skills/matlab-classify-tabular-data and .opencode/skills/matlab-classify-tabular-data in your project.
What does Matlab Classify Tabular Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Classify Tabular Data is instructions for the agent only.
Does Matlab Classify Tabular Data 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 Classify Tabular Data 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 Classify Tabular Data use?
Matlab Classify Tabular Data 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 Classify Tabular Data use?
About 9.2k tokens (SKILL.md is roughly 37k 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 11k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Classify Tabular Data?
Skills that share tags, products or a category with Matlab Classify Tabular Data: Data Scientist (davila7/claude-code-templates, 33k stars), Scientific Toolkit Skill (zLanqing/codex-claude-academic-skills, 4.7k stars), Data Science (travisjneuman/.claude, 100 stars) and Automl Skill (LeoYeAI/openclaw-master-skills, 2.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Classify Tabular Data?
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.