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swarm-init

Set up a coordinated team of three or more AI agents for development tasks spanning multiple files. Configure the team structure, assign specialized roles, and prepare parallel work with named agents and messaging.

OriginalShow the original description

Initialize a multi-agent swarm with anti-drift configuration. Use when starting a complex multi-file task that needs 3+ coordinated agents (feature implementation, refactor across modules, security audit). Skip for single-file edits or quick questions.

See how to install

Good for

  • Implementing a feature across multiple files
  • Refactoring across modules with coordinated agents
  • Sharing a security audit across an agent team

Files included (1)

  • SKILL.md1.2 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Initialize a hierarchical swarm for coordinated multi-agent work.

Via MCP: mcp__plugin_ruflo-core_ruflo__swarm_init({ topology: "hierarchical", maxAgents: 8, strategy: "specialized" })

Or via CLI:

npx @claude-flow/cli@latest swarm init --topology hierarchical --max-agents 8 --strategy specialized

Then spawn named agents in ONE message via Claude Code's Task tool with name: (for SendMessage addressability) and run_in_background: true (for parallel execution). Use EnterWorktree per agent for git-safe parallel work, and SendMessage for inter-agent coordination.

For larger teams (10+), use hierarchical-mesh topology:

npx @claude-flow/cli@latest swarm init --topology hierarchical-mesh --max-agents 15 --strategy specialized

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