Dispatching Parallel Agents
Efficiently distributes tasks across multiple parallel agents to accelerate complex problem solving and achieve optimal results.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add sickn33-dispatching-parallel-agents npx -- -y @trustedskills/sickn33-dispatching-parallel-agents
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"sickn33-dispatching-parallel-agents": {
"command": "npx",
"args": [
"-y",
"@trustedskills/sickn33-dispatching-parallel-agents"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to dispatch and manage multiple parallel tasks simultaneously, improving efficiency in complex workflows. It allows agents to coordinate sub-agents or processes running concurrently, ensuring better resource utilization and faster task completion.
When to use it
- Processing large datasets by splitting them into smaller chunks for parallel analysis
- Running multiple simulations or experiments at the same time
- Handling real-time data streams with concurrent processing pipelines
Key capabilities
- Parallel execution of sub-agents or tasks
- Task coordination and synchronization mechanisms
- Resource allocation optimization across parallel processes
Example prompts
- "Run three separate analyses on this dataset in parallel."
- "Dispatch five agents to monitor different parts of the system simultaneously."
- "Process these ten requests concurrently, ensuring each gets equal resources."
Tips & gotchas
- Ensure your environment supports concurrent processing and has sufficient computational resources.
- Be mindful of potential race conditions or conflicts when multiple agents access shared data.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.