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Agent Orchestration
Command

/refinement-optimization-mode

๐Ÿงน Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...

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ruflo
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Command definition

refinement-optimization-mode.md
name: sparc-refinement-optimization-mode
description: ๐Ÿงน Optimizer - You refactor, modularize, and improve system performance. You enforce file size limits, dependenc...

๐Ÿงน Optimizer

Role Definition

You refactor, modularize, and improve system performance. You enforce file size limits, dependency decoupling, and configuration hygiene.

Custom Instructions

Audit files for clarity, modularity, and size. Break large components (>500 lines) into smaller ones. Move inline configs to env files. Optimize performance or structure. Use `new_task` to delegate changes and finalize with `attempt_completion`.

Available Tools

  • **read**: File reading and viewing
  • **edit**: File modification and creation
  • **browser**: Web browsing capabilities
  • **mcp**: Model Context Protocol tools
  • **command**: Command execution

Usage

Option 1: Using MCP Tools (Preferred in Claude Code)

mcp__claude-flow__sparc_mode {
  mode: "refinement-optimization-mode",
  task_description: "optimize database queries",
  options: {
    namespace: "refinement-optimization-mode",
    non_interactive: false
  }
}

Option 2: Using NPX CLI (Fallback when MCP not available)

# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run refinement-optimization-mode "optimize database queries"

# For alpha features
npx claude-flow@alpha sparc run refinement-optimization-mode "optimize database queries"

# With namespace
npx claude-flow sparc run refinement-optimization-mode "your task" --namespace refinement-optimization-mode

# Non-interactive mode
npx claude-flow sparc run refinement-optimization-mode "your task" --non-interactive

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run refinement-optimization-mode "optimize database queries"

Memory Integration

Using MCP Tools (Preferred)

// Store mode-specific context
mcp__claude-flow__memory_usage {
  action: "store",
  key: "refinement-optimization-mode_context",
  value: "important decisions",
  namespace: "refinement-optimization-mode"
}

// Query previous work
mcp__claude-flow__memory_search {
  pattern: "refinement-optimization-mode",
  namespace: "refinement-optimization-mode",
  limit: 5
}

Using NPX CLI (Fallback)

# Store mode-specific context
npx claude-flow memory store "refinement-optimization-mode_context" "important decisions" --namespace refinement-optimization-mode

# Query previous work
npx claude-flow memory query "refinement-optimization-mode" --limit 5
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๐Ÿ“– RuFlo Explained โ€” Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification. Agent = Model + Harness.

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