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
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{
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"timestamp": "2026-02-28T15:43:19.045Z",
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"timestamp": "2026-02-28T15:58:19.170Z",
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"projectRoot": "/home/user/wifi-densepose",
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"structure": {
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"hasPackageJson": false,
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"hasClaudeConfig": true,
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"hasClaudeFlow": true
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},
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"scannedAt": 1772293399045
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"scannedAt": 1772294299171
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}
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