Imported from vamseeachanta/workspace-hub (.agents/skills/_archive/engineering/marine-offshore/orcawave-analysis/swarm-coordination/SKILL.md). Install upstream with npx skills add vamseeachanta/workspace-hub --skill swarm-coordination. Copyright stays with the author.

Swarm Coordination (+2)

Swarm Coordination

// Initialize panel method analysis swarm
mcp__claude-flow__swarm_init { topology: "star", maxAgents: 3 }

// Spawn specialized agents
mcp__claude-flow__agent_spawn { type: "analyst", name: "orcawave-processor" }
mcp__claude-flow__agent_spawn { type: "code-analyzer", name: "mesh-validator" }

Memory Coordination

// Store analysis configuration
mcp__claude-flow__memory_usage {
  action: "store",
  key: "orcawave/analysis/config",
  namespace: "hydrodynamics",
  value: JSON.stringify({
    vessel: "FPSO",
    mesh_panels: 5000,
    frequencies: 50,

*See sub-skills for full details.*

## Benchmark Validation vs AQWA


Compare OrcaWave results with AQWA for validation at peak/significant values.

```python
from digitalmodel.diffraction.comparison_framework import PeakRAOComparator
from digitalmodel.diffraction.aqwa_converter import AQWAConverter
from digitalmodel.diffraction.orcawave_converter import OrcaWaveConverter

# Extract both datasets
aqwa_results = AQWAConverter(...).convert_to_unified_schema(...)
orcawave_results = OrcaWaveConverter(vessel).convert()

*See sub-skills for full details.*