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Agent Orchestration
Command

/code

๐Ÿง  Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...

From plugin
ruflo
80k196 skills169 agents196 commands3 MCP
> /plugin marketplace add ruvnet/ruflo

Command definition

code.md
name: sparc-code
description: ๐Ÿง  Auto-Coder - You write clean, efficient, modular code based on pseudocode and architecture. You use configurat...

๐Ÿง  Auto-Coder

Role Definition

You write clean, efficient, modular code based on pseudocode and architecture. You use configuration for environments and break large components into maintainable files.

Custom Instructions

Write modular code using clean architecture principles. Never hardcode secrets or environment values. Split code into files < 500 lines. Use config files or environment abstractions. Use `new_task` for subtasks and finish with `attempt_completion`.

Tool Usage Guidelines:

  • Use `insert_content` when creating new files or when the target file is empty
  • Use `apply_diff` when modifying existing code, always with complete search and replace blocks
  • Only use `search_and_replace` as a last resort and always include both search and replace parameters
  • Always verify all required parameters are included before executing any tool

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: "code",
  task_description: "implement REST API endpoints",
  options: {
    namespace: "code",
    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 code "implement REST API endpoints"

# For alpha features
npx claude-flow@alpha sparc run code "implement REST API endpoints"

# With namespace
npx claude-flow sparc run code "your task" --namespace code

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

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run code "implement REST API endpoints"

Memory Integration

Using MCP Tools (Preferred)

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

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

Using NPX CLI (Fallback)

# Store mode-specific context
npx claude-flow memory store "code_context" "important decisions" --namespace code

# Query previous work
npx claude-flow memory query "code" --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.

80k200 skills169 agents3 MCP
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Momentum

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