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Parallel Execution

Checked
cloudai-x·vlatest·other·MIT

This skill enables concurrent task processing for faster results and improved efficiency by running operations in parallel.

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 cloudai-x/claude-workflow-v2 --skill parallel-execution -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

cloudai-x

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 cloudai-x/claude-workflow at 4c242af16f.

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

Scanned
1 file, 226 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 allows an AI agent to execute multiple tasks in parallel, significantly reducing overall processing time. It breaks down complex workflows into smaller, independent units of work that can be run concurrently. The result is faster completion times for multi-step processes and improved efficiency when dealing with large datasets or numerous requests.

When to use it

  • Batch Processing: When you need to process a list of images, documents, or other data items where each item's processing is independent.
  • Data Enrichment: To simultaneously enrich multiple records from a database by querying different external APIs for each record.
  • A/B Testing: Running multiple A/B test variations in parallel to accelerate the analysis and identification of optimal strategies.
  • Report Generation: Generating several reports based on different data subsets concurrently, speeding up overall report delivery.

Key capabilities

  • Parallel task execution
  • Workflow decomposition
  • Independent unit of work processing
  • Concurrent operation handling

Example prompts

  • "Process these 10 image files in parallel and save the results to this folder."
  • "Enrich each customer record with data from Salesforce, Marketo, and Zendesk concurrently."
  • "Run these five different A/B test variations simultaneously and report on the initial findings after one hour."

Tips & gotchas

This skill requires careful consideration of task dependencies. Ensure that tasks are truly independent before enabling parallel execution to avoid errors or incorrect results.