Agent skill · Backend & API

matlab-discover-clusters

Discover MATLAB Parallel Computing Toolbox clusters on the network and in the cloud, and manage their profiles — list, inspect, import, export, set default, validate, and delete. Use whenever the user asks what parallel computing resources, clusters, or cluster profiles they have or can use — e.g. "what parallel resources do I have", "show my cluster profiles", "list clusters", "what clusters can I run on", "where can I submit jobs" — and for any work with parcluster, parallel.listProfiles, parallel.defaultProfile, MJS / Generic / HPC Server / MJSComputeCloud clusters, .mlsettings files, or pr

matlabgithub.com/matlabGitHub ↗
claude-codecodexcopilotNOASSERTION
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-discover-clusters --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 18 KB
Bundled scripts: none
Version: 1.1
Declared author: MathWorks
Path: skills-catalog/parallel-computing/matlab-discover-clusters/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 868
Language: MATLAB

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Discover MATLAB Clusters A cluster profile is a saved set of properties (name, type, host, number of workers, scheduler arguments) that lets MATLAB connect to a compute resource. This skill covers the full profile lifecycle: discovering clusters on the network, importing shared profiles, setting a default, validating, and deleting. ## When to Use - The user asks what parallel computing resources, clusters, or queues are available to them. - The user wants to find clusters they can submit jobs to. - The user has an `.mlsettings` profile file from an admin and needs to import it. - The user wants to list, inspect, set the default for, validate, or delete a cluster profile. - The user wants to export a cluster profile to share with colleagues. - The user is calling `parcluster` or `parpool` and wants to know which resource it will use or which profile name to pass. ## When NOT to Use - **Submitting jobs** (`batch`, `createJob`, `submit`, `parfeval`) — this skill stops at "the cluster is ready to use." - **Pool lifecycle beyond profile selection** — `parpool` startup/shutdown, `gcp`, and pool destruction are separate concerns. Identifying which profile to pass to `parpool` is in scop

What's inside
Steps it walks through
  1. When to Use
  2. When NOT to Use
  3. Workflow
  4. Key Functions
  5. Patterns
  6. Listing and inspecting profiles
  7. Discover MJS, Generic, HPCServer, and MJSComputeCloud clusters
  8. Save a discovered MJS cluster as a profile
  9. Save a discovered Generic (Slurm/PBS/LSF) cluster as a profile
  10. Import a shared profile, set as default, validate
  11. Validate a cluster (with stages)
  12. Delete a profile
  13. Conventions
  14. Common Mistakes
Ships with 2 files
  • manifest.yaml
  • scripts/discoverClusters.p
More from matlab-agentic-toolkit
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About this skill
What does the matlab-discover-clusters skill do?

Discover MATLAB Parallel Computing Toolbox clusters on the network and in the cloud, and manage their profiles — list, inspect, import, export, set default, validate, and delete. Use whenever the user asks what parallel computing resources, clusters, or cluster profiles they have or can use — e.g. "what parallel resources do I have", "show my cluster profiles", "list clusters", "what clusters can I run on", "where can I submit jobs" — and for any work with parcluster, parallel.listProfiles, parallel.defaultProfile, MJS / Generic / HPC Server / MJSComputeCloud clusters, .mlsettings files, or pr

How do I install it?

Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-discover-clusters --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From matlab/matlab-agentic-toolkit, a repository with 868 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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