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MCP Standards

by airmcp-com
auto-agent.md2.58 kB
# auto agent Automatically spawn and manage agents based on task requirements. ## Usage ```bash npx claude-flow auto agent [options] ``` ## Options - `--task, -t <description>` - Task description for agent analysis - `--max-agents, -m <number>` - Maximum agents to spawn (default: auto) - `--min-agents <number>` - Minimum agents required (default: 1) - `--strategy, -s <type>` - Selection strategy: optimal, minimal, balanced - `--no-spawn` - Analyze only, don't spawn agents ## Examples ### Basic auto-spawning ```bash npx claude-flow auto agent --task "Build a REST API with authentication" ``` ### Constrained spawning ```bash npx claude-flow auto agent -t "Debug performance issue" --max-agents 3 ``` ### Analysis only ```bash npx claude-flow auto agent -t "Refactor codebase" --no-spawn ``` ### Minimal strategy ```bash npx claude-flow auto agent -t "Fix bug in login" -s minimal ``` ## How It Works 1. **Task Analysis** - Parses task description - Identifies required skills - Estimates complexity - Determines parallelization opportunities 2. **Agent Selection** - Matches skills to agent types - Considers task dependencies - Optimizes for efficiency - Respects constraints 3. **Topology Selection** - Chooses optimal swarm structure - Configures communication patterns - Sets up coordination rules - Enables monitoring 4. **Automatic Spawning** - Creates selected agents - Assigns specific roles - Distributes subtasks - Initiates coordination ## Agent Types Selected - **Architect**: System design, architecture decisions - **Coder**: Implementation, code generation - **Tester**: Test creation, quality assurance - **Analyst**: Performance, optimization - **Researcher**: Documentation, best practices - **Coordinator**: Task management, progress tracking ## Strategies ### Optimal - Maximum efficiency - May spawn more agents - Best for complex tasks - Highest resource usage ### Minimal - Minimum viable agents - Conservative approach - Good for simple tasks - Lowest resource usage ### Balanced - Middle ground - Adaptive to complexity - Default strategy - Good performance/resource ratio ## Integration with Claude Code ```javascript // In Claude Code after auto-spawning mcp__claude-flow__auto_agent { task: "Build authentication system", strategy: "balanced", maxAgents: 6 } ``` ## See Also - `agent spawn` - Manual agent creation - `swarm init` - Initialize swarm manually - `smart spawn` - Intelligent agent spawning - `workflow select` - Choose predefined workflows

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