Skip to content
Development
Command

/refinement-optimization-mode

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

From plugin
agentic-flow
840134 skills105 agents134 commands3 MCP
> /plugin marketplace add ruvnet/agentic-flow
> /plugin install agentic-flow@agentic-flow

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
Read more
@ruvnet
Ships withagentic-flow

Production-ready AI agent orchestration with 66 self-learning agents, 213 MCP tools, and autonomous multi-agent swarms.

84039 skills105 agents3 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
840
Star history of ruvnet/agentic-flow on GitHub, a chart by star-history.com

Other commands on agentic-flow.

COMMAND_COMPLIANCE_REPORT

COMMAND_COMPLIANCE_REPโ€ฆ

Command

Reviewed all command files in `.claude/commands/analysis/` directory to ensure proper usage of: - `mcp__claude-flow__*` toolsโ€ฆ

@ruvnet@ruvnetInstall Command

More commands from other plugins.

build
Auto-invoked

build

Command

Implement tasks incrementally โ€” build, test, verify, commit. Add "auto" to run the whole plan in one approved pass.

@addyosmani@addyosmaniInstall Command