القائمة
Orchestrate multi-agent swarms for complex parallel task execution
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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| name | swarm-coordination |
| description | Orchestrate multi-agent swarms for complex parallel task execution |
| version | 1.0.0 |
| invocable | true |
| author | agentic-flow |
| capabilities | ["swarm_init","agent_spawn","task_orchestration","topology_optimization"] |
Coordinate multi-agent swarms for parallel task execution with intelligent topology selection.
# Initialize a mesh swarm with 5 agents
npx agentic-flow@alpha swarm init --topology mesh --agents 5
# Spawn specialized agents
npx agentic-flow@alpha swarm spawn --type researcher --name "Research Agent"
npx agentic-flow@alpha swarm spawn --type coder --name "Code Agent"
# Orchestrate a task
npx agentic-flow@alpha swarm orchestrate "Implement feature X with tests"
# Check swarm status
npx agentic-flow@alpha swarm status
| Type | Description | Use Case |
|---|---|---|
| researcher | Deep analysis | Requirements gathering |
| coder | Implementation | Feature development |
| tester | Quality assurance | Test creation |
| reviewer | Code quality | PR review |
| architect | System design | Architecture decisions |
| coordinator | Task routing | Complex workflows |
// Initialize swarm
mcp__claude-flow__swarm_init({ topology: "mesh", maxAgents: 8 })
// Spawn agent
mcp__claude-flow__agent_spawn({ type: "coder", name: "Feature Dev" })
// Orchestrate task
mcp__claude-flow__task_orchestrate({
task: "Implement OAuth",
strategy: "parallel"
})