COMMAND_COMPLIANCE_REP…
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`…
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
> /plugin marketplace add spencermarx/open-code-review > /plugin install ocr@aclarify
How it fires
How this command gets triggered: by you, by Claude, or both.
/orchestratorContext preview
What this command does when you run it.
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
mcp__claude-flow__sparc_mode {
mode: "orchestrator",
task_description: "coordinate feature development"
}# Use when running from terminal or MCP tools unavailable npx claude-flow sparc run orchestrator "coordinate feature development" # For alpha features npx claude-flow@alpha sparc run orchestrator "coordinate feature development"
# If claude-flow is installed locally ./claude-flow sparc run orchestrator "coordinate feature development"
// Initialize orchestration swarm
mcp__claude-flow__swarm_init {
topology: "hierarchical",
strategy: "auto",
maxAgents: 8
}
// Spawn coordinator agent
mcp__claude-flow__agent_spawn {
type: "coordinator",
capabilities: ["task-planning", "resource-management"]
}
// Orchestrate tasks
mcp__claude-flow__task_orchestrate {
task: "feature development",
strategy: "parallel",
dependencies: ["auth", "ui", "api"]
}# Initialize orchestration swarm npx claude-flow swarm init --topology hierarchical --strategy auto --max-agents 8 # Spawn coordinator agent npx claude-flow agent spawn --type coordinator --capabilities "task-planning,resource-management" # Orchestrate tasks npx claude-flow task orchestrate --task "feature development" --strategy parallel --deps "auth,ui,api"
// 1. Initialize orchestration swarm
mcp__claude-flow__swarm_init {
topology: "hierarchical",
maxAgents: 10
}
// 2. Create workflow
mcp__claude-flow__workflow_create {
name: "feature-development",
steps: ["design", "implement", "test", "deploy"]
}
// 3. Execute orchestration
mcp__claude-flow__sparc_mode {
mode: "orchestrator",
options: {parallel: true, monitor: true},
task_description: "develop user management system"
}
// 4. Monitor progress
mcp__claude-flow__swarm_monitor {
swarmId: "current",
interval: 5000
}# 1. Initialize orchestration swarm npx claude-flow swarm init --topology hierarchical --max-agents 10 # 2. Create workflow npx claude-flow workflow create --name "feature-development" --steps "design,implement,test,deploy" # 3. Execute orchestration npx claude-flow sparc run orchestrator "develop user management system" --parallel --monitor # 4. Monitor progress npx claude-flow swarm monitor --interval 5000
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Repo: spencermarx/open-code-review
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow`…
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Identify and resolve performance bottlenecks in your development workflow.
Generate comprehensive performance reports for swarm operations.
Reduce token consumption while maintaining quality through intelligent coordination.