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Initialize a multi-agent swarm with anti-drift configuration
Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation
Author a workflow — either an MCP workflow template (persisted, lifecycle) or a native .claude/workflows/*.js orchestration script (agent/parallel/pipeline fan-out)
Run a workflow — drive an MCP workflow lifecycle (execute/pause/resume/cancel) or invoke + resume a native .claude/workflows/*.js orchestration via the Workflow tool
Side-by-side comparison of ruflo vs HAL vs other GAIA harnesses — capability gaps, design decisions, and improvement roadmap
Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix
Walk through a complete GAIA benchmark→submit flow — from key resolution through HAL-compatible package generation
| name | swarm-init |
| description | Initialize a multi-agent swarm with anti-drift configuration |
| argument-hint | [--topology hierarchical|mesh|ring] |
| allowed-tools | Bash(npx *) mcp__claude-flow__swarm_init mcp__claude-flow__swarm_status Agent |
Initialize a hierarchical swarm for coordinated multi-agent work.
Via MCP: mcp__claude-flow__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 create a Claude Code team via TeamCreate and spawn agents using the Agent tool with isolation: "worktree" for git-safe parallel work. Use 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