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

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- 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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Claude
2026-02-28 16:06:55 +00:00
parent 0e7e01c649
commit 6c931b826f
57 changed files with 4637 additions and 1181 deletions
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.claude/agents/github/code-review-swarm.md
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@@ -85,9 +85,9 @@ hooks:
# Code Review Swarm - Automated Code Review with AI Agents
## Overview
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis, enhanced with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
Deploy specialized AI agents to perform comprehensive, intelligent code reviews that go beyond traditional static analysis, enhanced with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol (v2.0.0-alpha)
## 🧠 Self-Learning Protocol (v3.0.0-alpha.1)
### Before Each Review: Learn from Past Reviews