Files
Nexus/.claude/commands/sparc/analyzer.md
T
HartmutandClaude Sonnet 4.6 f80808482d chore: restore .claude commands, agents, helpers & skills (lost in 1df208d)
Restores the entire .claude/ infrastructure that was accidentally deleted
in commit 1df208d ('feat(timeline): add pulse animation for in-flight drag
mutations'). Recovered via git checkout 1df208d^.

Restored:
- .claude/commands/ (gitlooper, sparc/, github/, automation/, monitoring/,
  optimization/, hooks/, plan, implement, research, review, perf, visualaudit)
- .claude/agents/ (core/, github/, sparc/, v3/, swarm/, templates/, ...)
- .claude/helpers/ (41 scripts incl. hook-handler.cjs, statusline.cjs)
- .claude/skills/ (20 skills incl. sparc-methodology, github-*, v3-*)
- .claude/settings.json (hooks configuration)

Also updated all CapaKraken → Nexus references in affected command files.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-08-15 11:43:52 +02:00

1.2 KiB

SPARC Analyzer Mode

Purpose

Deep code and data analysis with batch processing capabilities.

Activation

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

mcp__claude-flow__sparc_mode {
  mode: "analyzer",
  task_description: "analyze codebase performance",
  options: {
    parallel: true,
    detailed: true
  }
}

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

# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run analyzer "analyze codebase performance"

# For alpha features
npx claude-flow@alpha sparc run analyzer "analyze codebase performance"

Option 3: Local Installation

# If claude-flow is installed locally
./claude-flow sparc run analyzer "analyze codebase performance"

Core Capabilities

  • Code analysis with parallel file processing
  • Data pattern recognition
  • Performance profiling
  • Memory usage analysis
  • Dependency mapping

Batch Operations

  • Parallel file analysis using concurrent Read operations
  • Batch pattern matching with Grep tool
  • Simultaneous metric collection
  • Aggregated reporting

Output Format

  • Detailed analysis reports
  • Performance metrics
  • Improvement recommendations
  • Visualizations when applicable