/orchestrator
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
$ npx -y skills add spencermarx/open-code-review --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/orchestrator
Context preview
What this command does when you run it.
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
Command definition
orchestrator.mdSPARC Orchestrator Mode
Purpose
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
Activation
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "orchestrator",
task_description: "coordinate feature development"
}Option 2: Using NPX CLI (Fallback when MCP not available)
# 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"
Option 3: Local Installation
# If claude-flow is installed locally
./claude-flow sparc run orchestrator "coordinate feature development"
Core Capabilities
- Task decomposition
- Agent coordination
- Resource allocation
- Progress tracking
- Result synthesis
Integration Examples
Using MCP Tools (Preferred)
// 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"]
}Using NPX CLI (Fallback)
# 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"
Orchestration Patterns
- Hierarchical coordination
- Parallel execution
- Sequential pipelines
- Event-driven flows
- Adaptive strategies
Coordination Tools
- TodoWrite for planning
- Task for agent launch
- Memory for sharing
- Progress monitoring
- Result aggregation
Workflow Example
Using MCP Tools (Preferred)
// 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
}Using NPX CLI (Fallback)
# 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
Read more
SPARC Orchestrator Mode
Purpose
Multi-agent task orchestration with TodoWrite/TodoRead/Task/Memory using MCP tools.
Activation
Option 1: Using MCP Tools (Preferred in Claude Code)
mcp__claude-flow__sparc_mode {
mode: "orchestrator",
task_description: "coordinate feature development"
}Option 2: Using NPX CLI (Fallback when MCP not available)
# 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"
Option 3: Local Installation
# If claude-flow is installed locally ./claude-flow sparc run orchestrator "coordinate feature development"
Core Capabilities
- Task decomposition
- Agent coordination
- Resource allocation
- Progress tracking
- Result synthesis
Integration Examples
Using MCP Tools (Preferred)
// 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"]
}Using NPX CLI (Fallback)
# 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"
Orchestration Patterns
- Hierarchical coordination
- Parallel execution
- Sequential pipelines
- Event-driven flows
- Adaptive strategies
Coordination Tools
- TodoWrite for planning
- Task for agent launch
- Memory for sharing
- Progress monitoring
- Result aggregation
Workflow Example
Using MCP Tools (Preferred)
// 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
}Using NPX CLI (Fallback)
# 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
Other commands on open-code-review.
- /COMMAND_COMPLIANCE_REPORT
Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` tools (preferred) - `npx claude-flow` commands (as fallback) - No direct implementation calls
Open command - /bottleneck-detect
Analyze performance bottlenecks in swarm operations and suggest optimizations.
Open command - /performance-bottlenecks
Identify and resolve performance bottlenecks in your development workflow.
Open command - /performance-report
Generate comprehensive performance reports for swarm operations.
Open command - /token-efficiency
Reduce token consumption while maintaining quality through intelligent coordination.
Open command - /token-usage
Analyze token usage patterns and optimize for efficiency.
Open command

