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>

.claude/commands/analysis/performance-bottlenecks.md

@@ -0,0 +1,66 @@
+# Performance Bottleneck Analysis
+
+## Purpose
+
+Identify and resolve performance bottlenecks in your development workflow.
+
+## Automated Analysis
+
+### 1. Real-time Detection
+
+The post-task hook automatically analyzes:
+
+- Execution time vs. complexity
+- Agent utilization rates
+- Resource constraints
+- Operation patterns
+
+### 2. Common Bottlenecks
+
+**Time Bottlenecks:**
+
+- Tasks taking > 5 minutes
+- Sequential operations that could parallelize
+- Redundant file operations
+
+**Coordination Bottlenecks:**
+
+- Single agent for complex tasks
+- Unbalanced agent workloads
+- Poor topology selection
+
+**Resource Bottlenecks:**
+
+- High operation count (> 100)
+- Memory constraints
+- I/O limitations
+
+### 3. Improvement Suggestions
+
+```
+Tool: mcp__claude-flow__task_results
+Parameters: {"taskId": "task-123", "format": "detailed"}
+
+Result includes:
+{
+  "bottlenecks": [
+    {
+      "type": "coordination",
+      "severity": "high",
+      "description": "Single agent used for complex task",
+      "recommendation": "Spawn specialized agents for parallel work"
+    }
+  ],
+  "improvements": [
+    {
+      "area": "execution_time",
+      "suggestion": "Use parallel task execution",
+      "expectedImprovement": "30-50% time reduction"
+    }
+  ]
+}
+```
+
+## Continuous Optimization
+
+The system learns from each task to prevent future bottlenecks!