Matlab
K-Dense-AI/scientific-agent-skills
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows.
A skill your agent uses when conditioning, loading, preparing, or labeling signal data for analysis or ML training.
Custom licenceAuto-check passed
Install Matlab Prepare Signal Data
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-prepare-signal-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-data .claude/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .claude/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-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-prepare-signal-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-data .agents/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .agents/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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-prepare-signal-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-data .cursor/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .cursor/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-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-prepare-signal-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-prepare-signal-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/signal-processing/matlab-prepare-signal-data .gemini/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .gemini/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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-prepare-signal-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-prepare-signal-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/signal-processing/matlab-prepare-signal-data .github/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .github/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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-prepare-signal-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-prepare-signal-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/signal-processing/matlab-prepare-signal-data .opencode/skills/matlab-prepare-signal-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-prepare-signal-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/signal-processing/matlab-prepare-signal-data into .opencode/skills/matlab-prepare-signal-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-prepare-signal-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-prepare-signal-data- GitHub stars
- 1.1k
- Token cost
- ~2.4k tokens
- SKILL.md length
- 1,008 words
- Files
- 39 (incl. references)
- Skills in repo
- 151
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when conditioning, loading, preparing, or labeling signal data for analysis or ML training.
- Works in 3 steps: Common reflexes → Workflows → Ordering when a signal needs several…
- Labeling signal data for analysis
- SKILL.md covers When to Use, When NOT to Use, Best practices and 0. Common reflexes, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Prepare Signal Data is an agent skill from matlab/matlab-agentic-toolkit. Use this skill when conditioning, loading, preparing, or labeling signal data for analysis or ML training. Covers: cleaning a single signal (fill gaps, remove drift, deoutlier, denoise, resample/align a time base) BEFORE analysis; building a signalDatastore pipeline; creating a labeledSignalSet for Signal Labeler; deriving labels (filename, folder, in-file, ROI, time-frequency ROI); stratified train/val/test splits; framing long signals; parallel processing; and shaping datastore output for trainnet. Triggers…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 39 other files, including reference files (for example `manifest.yaml`, `references/fn-countlabels.md` and `references/fn-detrend.md`).
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
- Labeling signal data for analysis
- Include clean up this signal
- Remove drift / detrend
- Remove spikes / outliers
Example prompts
- “clean up this signal”
- “remove drift / detrend”
- “fill gaps”
- “/matlab-prepare-signal-data”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Common reflexes
- Workflows
- Ordering when a signal needs several conditioning steps
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.
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 Prepare Signal Data loads about 2.4k tokens when it runs, and up to ~52k if it reads all its reference files. Until then it costs about 259 tokens; SKILL.md has 1,008 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 1,008 words (~2,413 tokens).
“The arc: condition a raw signal (clean it) -> load a folder into a datastore -> label -> split / frame -> hand off to trainnet. Each stage is a workflow file; this page routes you to the right one.”
- name
- matlab-prepare-signal-data
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 1.1
Files
SKILL.md and 38 other files (references) in skills-catalog/signal-processing/matlab-prepare-signal-data of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/fn-countlabels.md
- references/fn-detrend.md
- references/fn-filenames2labels.md
- references/fn-fillgaps.md
- references/fn-fillmissing.md
- references/fn-filloutliers.md
- references/fn-folders2labels.md
- references/fn-framelbl.md
- references/fn-framesig.md
- references/fn-hampel.md
- references/fn-labeledsignalset.md
- references/fn-labelspectrogramoptions.md
- references/fn-medfilt1.md
- references/fn-partition.md
- references/fn-resample.md
- references/fn-retime.md
- references/fn-sgolayfilt.md
- references/fn-signaldatastore.md
- … and 19 more
Open the folder on GitHubat commit 69e71df
Compare with similar skills
Matlab Prepare Signal 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 Prepare Signal Data this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| MatlabK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~4.1k | Automated safety check: Notes | MIT | |
| SignalsPostHog/posthog | 40k | — | ~4.3k | Automated safety check: Pass | Custom licence | |
| Loading Indicatorsthedaviddias/Front-End-Checklist | 74k | — | ~434 | Automated safety check: Pass | MIT | |
| Font Loadingthedaviddias/Front-End-Checklist | 74k | — | ~400 | Automated safety check: Pass | MIT | |
| Lazy Loadingthedaviddias/Front-End-Checklist | 74k | — | ~487 | Automated safety check: Pass | MIT |
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Questions about Matlab Prepare Signal Data
What does Matlab Prepare Signal Data do?
A skill your agent uses when conditioning, loading, preparing, or labeling signal data for analysis or ML training. Matlab Prepare Signal Data is an agent skill from matlab/matlab-agentic-toolkit. Use this skill when conditioning, loading, preparing, or labeling signal data for analysis or ML training.
When should I use Matlab Prepare Signal Data?
Matlab Prepare Signal Data fits situations like: labeling signal data for analysis; include clean up this signal; remove drift / detrend; remove spikes / outliers.
How do I install Matlab Prepare Signal Data in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-prepare-signal-data -a claude-code`. Or copy the skill folder (skills-catalog/signal-processing/matlab-prepare-signal-data in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-prepare-signal-data in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Prepare Signal Data in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-prepare-signal-data -a codex`. Or copy the skill folder (skills-catalog/signal-processing/matlab-prepare-signal-data in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-prepare-signal-data in your project. Codex loads it when a task matches its description.
Can I use Matlab Prepare Signal 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-prepare-signal-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-prepare-signal-data, .gemini/skills/matlab-prepare-signal-data, .github/skills/matlab-prepare-signal-data and .opencode/skills/matlab-prepare-signal-data in your project.
What does Matlab Prepare Signal Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Prepare Signal Data is instructions for the agent only.
Does Matlab Prepare Signal 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 Prepare Signal 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. Review the folder before installing.
What licence does Matlab Prepare Signal Data use?
Matlab Prepare Signal 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 Prepare Signal Data use?
About 2.4k tokens (SKILL.md is roughly 9.7k 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 50k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Prepare Signal Data?
Skills that share tags, products or a category with Matlab Prepare Signal Data: Matlab (K-Dense-AI/scientific-agent-skills, 48k stars), Signals (PostHog/posthog, 40k stars), Loading Indicators (thedaviddias/Front-End-Checklist, 74k stars) and Font Loading (thedaviddias/Front-End-Checklist, 74k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Prepare Signal Data?
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.