Swarm orchestration

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

Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration

Install

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

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What its author says it does

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

SKILL.md

1.8 KB, 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

Topology Selection - Analyze task and agent pool to select optimal topology
Agent Assignment - Assign Queen (Strategic/Tactical/Adaptive) and Worker roles
Consensus Init - Initialize Raft/Byzantine/Gossip/CRDT protocol
Parallel Execution - Distribute subtasks with shared memory
Anti-Drift Checkpoints - Validate alignment every N subtasks
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