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/helpers/session.js

@@ -100,6 +100,14 @@ const commands = {
     return session;
   },
 
+  get: (key) => {
+    if (!fs.existsSync(SESSION_FILE)) return null;
+    try {
+      const session = JSON.parse(fs.readFileSync(SESSION_FILE, 'utf-8'));
+      return key ? (session.context || {})[key] : session.context;
+    } catch { return null; }
+  },
+
   metric: (name) => {
     if (!fs.existsSync(SESSION_FILE)) {
       return null;