Files
Nexus/.claude/commands/optimization/parallel-execution.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

1.2 KiB

Parallel Task Execution

Purpose

Execute independent subtasks in parallel for maximum efficiency.

Coordination Strategy

1. Task Decomposition

Tool: mcp__claude-flow__task_orchestrate
Parameters: {
  "task": "Build complete REST API with auth, CRUD operations, and tests",
  "strategy": "parallel",
  "maxAgents": 8
}

2. Parallel Workflows

The system automatically:

  • Identifies independent components
  • Assigns specialized agents
  • Executes in parallel where possible
  • Synchronizes at dependency points

3. Example Breakdown

For the REST API task:

  • Agent 1 (Architect): Design API structure
  • Agent 2-3 (Coders): Implement auth & CRUD in parallel
  • Agent 4 (Tester): Write tests as features complete
  • Agent 5 (Documenter): Update docs continuously

CLI Usage

# Execute parallel tasks via CLI
npx claude-flow parallel "Build REST API" --max-agents 8

Performance Gains

  • 🚀 2.8-4.4x faster execution
  • 💪 Optimal CPU utilization
  • 🔄 Automatic load balancing
  • 📈 Linear scalability with agents

Monitoring

Tool: mcp__claude-flow__swarm_monitor
Parameters: {"interval": 1000, "swarmId": "current"}

Watch real-time parallel execution progress!