AI EngineeringPython

Parallel Execution

by CloudAI-X

Parallel Execution is an AI Engineering skill for Claude Code, published by CloudAI-X in claude-workflow-v2.

1.4K stars187 forkson CloudAI-X/claude-workflow-v2Added 2026/08/19Repository updated 2026/08/18
agent-skillsaiai-agentsclaude-codecodexcursorskillsworkflow
Install in seconds
Install Parallel Execution
Copy Parallel Execution into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/CloudAI-X/claude-workflow-v2/tree/main/skills/parallel-execution ~/.claude/skills/parallel-execution

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/CloudAI-X/claude-workflow-v2.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/parallel-execution/SKILL.md in CloudAI-X/claude-workflow-v2
Installs to
~/.claude/skills/parallel-execution
Collection
One of 14 skills cataloged from this repository
Category
AI Engineering2451 skills

What Parallel Execution does

Parallel Execution provides patterns for running multiple subagents concurrently using the Task tool with run_in_background. Use it when coordinating independent tasks, spawning dynamic subagents, or parallelizing feature implementation.

Parallel Execution is cataloged under AI Engineering on DirSkills. Parallel Execution comes from a repository tagged agent-skills, ai, ai-agents, claude-code and codex.

Documentation

README

Parallel Execution Patterns

When to Load

  • Trigger: Multi-agent tasks, concurrent operations, spawning subagents, parallelizing independent work
  • Skip: Single-step tasks or sequential workflows with no parallelization opportunity

Core Concept

Parallel execution spawns multiple subagents simultaneously using the Task tool with run_in_background: true. This enables N tasks to run concurrently, dramatically reducing total execution time.

Critical Rule: ALL Task calls MUST be in a SINGLE assistant message for true parallelism. If Task calls are in separate messages, they run sequentially.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Parallel Execution

  • What else does CloudAI-X publish alongside Parallel Execution?

    Parallel Execution is one of 14 skills that DirSkills catalogs from CloudAI-X/claude-workflow-v2, the repository it ships in. Its siblings there include Analyzing Projects, Convex Backend and Database Design. Each one is a separate skill with its own page in this directory, installs the same way Parallel Execution does, and is maintained by CloudAI-X in that same repository. The rest of the collection is listed on the CloudAI-X/claude-workflow-v2 page.

  • How does Parallel Execution compare to other AI Engineering skills?

    Parallel Execution ranks #1038 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Parallel Execution against them. Open each page to compare what they document and how they install.

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