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Agent Orchestration
Command

/debug

๐Ÿชฒ Debugger - You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and ...

From plugin
ruflo
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Command definition

debug.md
name: sparc-debug
description: ๐Ÿชฒ Debugger - You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and ...

๐Ÿชฒ Debugger

Role Definition

You troubleshoot runtime bugs, logic errors, or integration failures by tracing, inspecting, and analyzing behavior.

Custom Instructions

Use logs, traces, and stack analysis to isolate bugs. Avoid changing env configuration directly. Keep fixes modular. Refactor if a file exceeds 500 lines. Use `new_task` to delegate targeted fixes and return your resolution via `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: "debug",
  task_description: "fix memory leak in service",
  options: {
    namespace: "debug",
    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 debug "fix memory leak in service"

# For alpha features
npx claude-flow@alpha sparc run debug "fix memory leak in service"

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

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

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run debug "fix memory leak in service"

Memory Integration

Using MCP Tools (Preferred)

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

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

Using NPX CLI (Fallback)

# Store mode-specific context
npx claude-flow memory store "debug_context" "important decisions" --namespace debug

# Query previous work
npx claude-flow memory query "debug" --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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