Files
Nexus/.claude/skills/swarm-orchestration/SKILL.md
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HartmutandClaude Sonnet 4.6 f80808482d chore: restore .claude commands, agents, helpers & skills (lost in 1df208d)
Restores the entire .claude/ infrastructure that was accidentally deleted
in commit 1df208d ('feat(timeline): add pulse animation for in-flight drag
mutations'). Recovered via git checkout 1df208d^.

Restored:
- .claude/commands/ (gitlooper, sparc/, github/, automation/, monitoring/,
  optimization/, hooks/, plan, implement, research, review, perf, visualaudit)
- .claude/agents/ (core/, github/, sparc/, v3/, swarm/, templates/, ...)
- .claude/helpers/ (41 scripts incl. hook-handler.cjs, statusline.cjs)
- .claude/skills/ (20 skills incl. sparc-methodology, github-*, v3-*)
- .claude/settings.json (hooks configuration)

Also updated all CapaKraken → Nexus references in affected command files.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-08-15 11:43:52 +02:00

191 lines
4.2 KiB
Markdown

---
name: "Swarm Orchestration"
description: "Orchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems."
---
# Swarm Orchestration
## What This Skill Does
Orchestrates multi-agent swarms using agentic-flow's advanced coordination system. Supports mesh, hierarchical, and adaptive topologies with automatic task distribution, load balancing, and fault tolerance.
## Prerequisites
- agentic-flow v3.0.0-alpha.1+
- Node.js 18+
- Understanding of distributed systems (helpful)
## Quick Start
```bash
# Initialize swarm
npx agentic-flow hooks swarm-init --topology mesh --max-agents 5
# Spawn agents
npx agentic-flow hooks agent-spawn --type coder
npx agentic-flow hooks agent-spawn --type tester
npx agentic-flow hooks agent-spawn --type reviewer
# Orchestrate task
npx agentic-flow hooks task-orchestrate \
--task "Build REST API with tests" \
--mode parallel
```
## Topology Patterns
### 1. Mesh (Peer-to-Peer)
```typescript
// Equal peers, distributed decision-making
await swarm.init({
topology: "mesh",
agents: ["coder", "tester", "reviewer"],
communication: "broadcast",
});
```
### 2. Hierarchical (Queen-Worker)
```typescript
// Centralized coordination, specialized workers
await swarm.init({
topology: "hierarchical",
queen: "architect",
workers: ["backend-dev", "frontend-dev", "db-designer"],
});
```
### 3. Adaptive (Dynamic)
```typescript
// Automatically switches topology based on task
await swarm.init({
topology: "adaptive",
optimization: "task-complexity",
});
```
## Task Orchestration
### Parallel Execution
```typescript
// Execute tasks concurrently
const results = await swarm.execute({
tasks: [
{ agent: "coder", task: "Implement API endpoints" },
{ agent: "frontend", task: "Build UI components" },
{ agent: "tester", task: "Write test suite" },
],
mode: "parallel",
timeout: 300000, // 5 minutes
});
```
### Pipeline Execution
```typescript
// Sequential pipeline with dependencies
await swarm.pipeline([
{ stage: "design", agent: "architect" },
{ stage: "implement", agent: "coder", after: "design" },
{ stage: "test", agent: "tester", after: "implement" },
{ stage: "review", agent: "reviewer", after: "test" },
]);
```
### Adaptive Execution
```typescript
// Let swarm decide execution strategy
await swarm.autoOrchestrate({
goal: "Build production-ready API",
constraints: {
maxTime: 3600,
maxAgents: 8,
quality: "high",
},
});
```
## Memory Coordination
```typescript
// Share state across swarm
await swarm.memory.store('api-schema', {
endpoints: [...],
models: [...]
});
// Agents read shared memory
const schema = await swarm.memory.retrieve('api-schema');
```
## Advanced Features
### Load Balancing
```typescript
// Automatic work distribution
await swarm.enableLoadBalancing({
strategy: "dynamic",
metrics: ["cpu", "memory", "task-queue"],
});
```
### Fault Tolerance
```typescript
// Handle agent failures
await swarm.setResiliency({
retry: { maxAttempts: 3, backoff: "exponential" },
fallback: "reassign-task",
});
```
### Performance Monitoring
```typescript
// Track swarm metrics
const metrics = await swarm.getMetrics();
// { throughput, latency, success_rate, agent_utilization }
```
## Integration with Hooks
```bash
# Pre-task coordination
npx agentic-flow hooks pre-task --description "Build API"
# Post-task synchronization
npx agentic-flow hooks post-task --task-id "task-123"
# Session restore
npx agentic-flow hooks session-restore --session-id "swarm-001"
```
## Best Practices
1. **Start small**: Begin with 2-3 agents, scale up
2. **Use memory**: Share context through swarm memory
3. **Monitor metrics**: Track performance and bottlenecks
4. **Enable hooks**: Automatic coordination and sync
5. **Set timeouts**: Prevent hung tasks
## Troubleshooting
### Issue: Agents not coordinating
**Solution**: Verify memory access and enable hooks
### Issue: Poor performance
**Solution**: Check topology (use adaptive) and enable load balancing
## Learn More
- Swarm Guide: docs/swarm/orchestration.md
- Topology Patterns: docs/swarm/topologies.md
- Hooks Integration: docs/hooks/coordination.md