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Multithreaded Task Migration

Checked
dotnet·vlatest·database·MIT

Seamlessly distributes tasks across multiple threads to optimize performance and resource utilization within .NET applications.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add dotnet/msbuild --skill multithreaded-task-migration --full-depth -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

dotnet

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned dotnet/msbuild at ee0352192e.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 531 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to migrate tasks across multiple threads, significantly improving performance for computationally intensive operations. It allows for parallel execution of independent units of work within a larger process, reducing overall processing time and maximizing resource utilization. The agent can distribute workloads efficiently based on available resources and task dependencies.

When to use it

  • Batch image processing: Accelerate the conversion or manipulation of large sets of images by distributing tasks across multiple threads.
  • Video encoding: Speed up video rendering or transcoding workflows by parallelizing different segments of a video.
  • Data analysis pipelines: Improve performance when running complex data transformations and calculations on large datasets.
  • Scientific simulations: Reduce the runtime for computationally demanding scientific simulations by distributing sub-problems across multiple threads.

Key capabilities

  • Parallel task execution
  • Thread management
  • Workload distribution
  • Resource optimization

Example prompts

  • "Migrate these 100 image files to grayscale using multithreading."
  • "Encode this video into H.264 format, utilizing multiple threads for faster processing."
  • "Run this data analysis script with parallel task migration to improve performance."

Tips & gotchas

The skill's effectiveness depends on the independence of tasks; tightly coupled operations may not benefit from multithreading and could even experience slowdown due to synchronization overhead. Ensure sufficient resources (CPU cores) are available for optimal performance.