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Nexus/.claude/commands/sparc/optimizer.md
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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

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Markdown

# SPARC Optimizer Mode
## Purpose
Performance optimization with systematic analysis and improvements.
## Activation
### Option 1: Using MCP Tools (Preferred in Claude Code)
```javascript
mcp__claude-flow__sparc_mode {
mode: "optimizer",
task_description: "optimize application performance",
options: {
profile: true,
benchmark: true
}
}
```
### Option 2: Using NPX CLI (Fallback when MCP not available)
```bash
# Use when running from terminal or MCP tools unavailable
npx claude-flow sparc run optimizer "optimize application performance"
# For alpha features
npx claude-flow@alpha sparc run optimizer "optimize application performance"
```
### Option 3: Local Installation
```bash
# If claude-flow is installed locally
./claude-flow sparc run optimizer "optimize application performance"
```
## Core Capabilities
- Performance profiling
- Code optimization
- Resource optimization
- Algorithm improvement
- Scalability enhancement
## Optimization Areas
- Execution speed
- Memory usage
- Network efficiency
- Database queries
- Bundle size
## Systematic Approach
1. Baseline measurement
2. Bottleneck identification
3. Optimization implementation
4. Impact verification
5. Continuous monitoring