Parallel Agents
Simultaneously execute multiple agent instances to accelerate complex tasks and explore diverse solution pathways efficiently.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add parallel-agents npx -- -y @trustedskills/parallel-agents
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"parallel-agents": {
"command": "npx",
"args": [
"-y",
"@trustedskills/parallel-agents"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The parallel-agents skill enables AI agents to execute multiple tasks simultaneously, improving efficiency and reducing overall processing time. It allows for the coordination of several agent instances working on different aspects of a problem at once.
When to use it
- When handling complex workflows that can be broken into independent subtasks.
- During data analysis projects where parallel processing speeds up results.
- For real-time applications requiring quick responses from multiple sources.
- In scenarios involving large-scale simulations or computations.
Key capabilities
- Simultaneous execution of multiple agent tasks.
- Coordination between agents for synchronized outcomes.
- Efficient resource allocation across parallel processes.
Example prompts
- "Run a data analysis on sales reports and generate a visualization at the same time."
- "Process customer support tickets using two separate agents: one for categorization, another for response drafting."
- "Simulate traffic patterns in different city zones concurrently."
Tips & gotchas
- Ensure that tasks assigned to parallel agents are independent to avoid conflicts.
- Monitor system resources closely as parallel execution can be resource-intensive.
Tags
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