feat(claude-flow): Init claude-flow v3, pretrain on repo, update CLAUDE.md

- Run npx @claude-flow/cli@latest init --force: 115 files created
  (agents, commands, helpers, skills, settings, MCP config)
- Initialize memory.db (147 KB): 84 files analyzed, 30 patterns
  extracted, 46 trajectories evaluated via 4-step RETRIEVE/JUDGE/DISTILL/CONSOLIDATE
- Run pretraining with MoE model: hyperbolic Poincaré embeddings,
  3 contradictions resolved, all-MiniLM-L6-v2 ONNX embedding index
- Include .claude/memory.db and .claude-flow/metrics/learning.json in
  repo for team sharing (semantic search available to all contributors)
- Update CLAUDE.md: add wifi-densepose project context, key crates,
  ruvector integration map, correct build/test commands for this repo,
  ADR cross-reference (ADR-014 through ADR-017)

https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4

.claude/agents/analysis/code-analyzer.md

@@ -1,5 +1,5 @@
 ---
-name: code-analyzer
+name: analyst
 description: "Advanced code quality analysis agent for comprehensive code reviews and improvements"
 type: code-analyzer
 color: indigo
@@ -10,7 +10,7 @@ hooks:
   post: |
     npx claude-flow@alpha hooks post-task --task-id "analysis-${timestamp}" --analyze-performance true
 metadata:
-  description: Advanced code quality analysis agent for comprehensive code reviews and improvements
+  specialization: "Code quality assessment and security analysis"
   capabilities:
     - Code quality assessment and metrics
     - Performance bottleneck detection