Complete guide to managing AI agents in NikCLI
/agents
- Agent Discovery and Status/agent
- Individual Agent ExecutionDirect Agent Invocation
universal-agent
: Best for general tasks requiring multiple skillsreact-expert
: Optimal for React/Next.js specific tasksbackend-agent
: Ideal for API, database, and server-side logicdevops-agent
: Perfect for deployment, monitoring, and infrastructureAgent Configuration
Agent Chaining
/auto
- Autonomous Multi-Agent Execution/parallel
- Parallel Agent ExecutionParallel Task Distribution
Parallel Coordination
Parallel Monitoring
/factory
- Agent Factory Dashboard/create-agent
- Custom Agent CreationDomain-Specific Agents
Task-Specific Agents
Industry-Specific Agents
/launch-agent
- Blueprint-Based Agent Deployment/orchestrate
- Multi-Agent OrchestrationWorkflow Definition
Agent Coordination
Orchestration Monitoring
/context
- Agent Context Management/stream
- Agent Activity StreamingStream Dashboard
Stream Control
Stream Analytics
/agent-performance
- Performance Monitoring/optimize-agents
- Agent OptimizationAutomatic Optimization
Configuration Optimization
Learning and Adaptation
/agent-security
- Security Management/agent-governance
- Governance FrameworkGovernance Policies
Quality Standards
Risk Management
/agent-learning
- Adaptive Learning System/agent-collaboration
- Inter-Agent CollaborationCollaboration Patterns
Knowledge Sharing
Collaboration Analytics
Agent Not Responding
Poor Agent Performance
Agent Conflicts
/agents
as your first command to understand available agents and their current status. The agent system is designed to be self-managing, but understanding agent capabilities helps you choose the right agent for each task.