Agent Topology Optimizer

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by ruvnet · vlatest · Repository

Optimizes network infrastructure layouts and resource allocation within virtual environments for peak performance using ruvnet's AI.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add agent-topology-optimizer npx -- -y @trustedskills/agent-topology-optimizer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "agent-topology-optimizer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/agent-topology-optimizer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

The agent-topology-optimizer skill analyzes and restructures agent workflows to improve efficiency. It identifies redundant or inefficient steps within a sequence of agents, suggesting optimizations like merging agents or reordering tasks. This results in faster execution times and reduced resource consumption for complex agent chains.

When to use it

  • Slow Agent Chains: When an existing chain of AI agents takes too long to complete a task.
  • High Resource Consumption: If running multiple agents is straining system resources (CPU, memory).
  • Complex Workflows: For intricate workflows involving numerous agents and dependencies where optimization potential exists.
  • Debugging Agent Sequences: To help understand the flow of data and identify bottlenecks in agent chains.

Key capabilities

  • Workflow analysis
  • Redundancy detection
  • Agent merging suggestions
  • Task reordering recommendations

Example prompts

  • "Analyze this agent chain: [paste agent chain description] and suggest optimizations."
  • "Can you simplify the following workflow to reduce execution time? [paste agent chain description]"
  • "I'm seeing high resource usage in my agent sequence. Suggest ways to make it more efficient."

Tips & gotchas

The quality of optimization suggestions depends heavily on a clear and detailed description of the existing agent topology. Providing context about the purpose of each agent will yield better results.

Tags

🛡️

TrustedSkills Verification

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Details

Version
vlatest
License
Author
ruvnet
Installs
20

🌐 Community

Passed automated security scans.