swarm-advanced
SolidAdvanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
AI & Automation 241 stars
20 forks Updated today Apache-2.0
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Skill Content
# Advanced Swarm Orchestration
Master advanced swarm patterns for distributed research, development, and testing workflows. This skill covers comprehensive orchestration strategies using both MCP tools and CLI commands.
## Quick Start
### Prerequisites
```bash
# Ensure Claude Flow is installed
npm install -g claude-flow@alpha
# Add MCP server (if using MCP tools)
claude mcp add claude-flow npx claude-flow@alpha mcp start
```
### Basic Pattern
```javascript
// 1. Initialize swarm topology
mcp__claude-flow__swarm_init({ topology: "mesh", maxAgents: 6 })
// 2. Spawn specialized agents
mcp__claude-flow__agent_spawn({ type: "researcher", name: "Agent 1" })
// 3. Orchestrate tasks
mcp__claude-flow__task_orchestrate({ task: "...", strategy: "parallel" })
```
## Core Concepts
### Swarm Topologies
**Mesh Topology** - Peer-to-peer communication, best for research and analysis
- All agents communicate directly
- High flexibility and resilience
- Use for: Research, analysis, brainstorming
**Hierarchical Topology** - Coordinator with subordinates, best for development
- Clear command structure
- Sequential workflow support
- Use for: Development, structured workflows
**Star Topology** - Central coordinator, best for testing
- Centralized control and monitoring
- Parallel execution with coordination
- Use for: Testing, validation, quality assurance
**Ring Topology** - Sequential processing chain
- Step-by-step processing
- Pipeline workflows
- Use for: Multi-stage processing, ...
Details
- Author
- spencermarx
- Repository
- spencermarx/open-code-review
- Created
- 4 months ago
- Last Updated
- today
- Language
- TypeScript
- License
- Apache-2.0
Integrates with
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