# Swarm Orchestration

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

- Skill: `a5c-ai/swarm-orchestration` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add a5c-ai/swarm-orchestration`
- Raw SKILL.md: https://api.skillmd.com/api/skills/a5c-ai/swarm-orchestration/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: a5c-ai (https://skillmd.com/u/a5c-ai)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/a5c-ai/swarm-orchestration

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- 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`