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Swarm orchestration

Skill a5c-ai/babysitter/library/methodologies/ruflo/skills/swarm-orchestration

Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.From its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill swarm-orchestration

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.8 KB, 305 tokens by cl100k_base, as published. Nobody here has run it

  • Tasks needing coordinated parallel execution
  • When consensus among agents is required for quality
  • Projects requiring anti-drift enforcement during execution

Process

  1. Topology Selection - Analyze task and agent pool to select optimal topology
  2. Agent Assignment - Assign Queen (Strategic/Tactical/Adaptive) and Worker roles
  3. Consensus Init - Initialize Raft/Byzantine/Gossip/CRDT protocol
  4. Parallel Execution - Distribute subtasks with shared memory
  5. Anti-Drift Checkpoints - Validate alignment every N subtasks
  6. Consensus Voting - Weighted voting (Queen=3x) for final decision

Topologies

  • Mesh: All-to-all communication, best for small swarms (<8 agents)
  • Hierarchical: Queen coordinates workers, best for large/structured tasks
  • Ring: Sequential handoff, best for pipeline/transformation tasks
  • Star: Central coordinator fan-out, best for independent subtasks

Agents Used

  • agents/strategic-queen/ - Long-term planning swarms
  • agents/tactical-queen/ - Execution coordination swarms
  • agents/adaptive-queen/ - Real-time optimization swarms
  • agents/swarm-coordinator/ - Topology management

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-swarm-coordination

What ships with it: 1 file

233 B alongside SKILL.md

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