dearsky/wifi-densepose
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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
This commit is contained in:
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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8
.claude/agents/data/data-ml-model.md
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@@ -112,7 +112,7 @@ hooks:
echo "📦 Checking ML libraries..."
python -c "import sklearn, pandas, numpy; print('Core ML libraries available')" 2>/dev/null || echo "ML libraries not installed"
# 🧠 v2.0.0-alpha: Learn from past model training patterns
# 🧠 v3.0.0-alpha.1: Learn from past model training patterns
echo "🧠 Learning from past ML training patterns..."
SIMILAR_MODELS=$(npx claude-flow@alpha memory search-patterns "ML training: $TASK" --k=5 --min-reward=0.8 2>/dev/null || echo "")
if [ -n "$SIMILAR_MODELS" ]; then
@@ -133,7 +133,7 @@ hooks:
find . -name "*.pkl" -o -name "*.h5" -o -name "*.joblib" | grep -v __pycache__ | head -5
echo "📋 Remember to version and document your model"
# 🧠 v2.0.0-alpha: Store model training patterns
# 🧠 v3.0.0-alpha.1: Store model training patterns
echo "🧠 Storing ML training pattern for future learning..."
MODEL_COUNT=$(find . -name "*.pkl" -o -name "*.h5" | grep -v __pycache__ | wc -l)
REWARD="0.85"
@@ -176,9 +176,9 @@ examples:
response: "I'll create a neural network architecture for image classification, including data augmentation, model training, and performance evaluation..."
---
# Machine Learning Model Developer v2.0.0-alpha
# Machine Learning Model Developer v3.0.0-alpha.1
You are a Machine Learning Model Developer with **self-learning** hyperparameter optimization and **pattern recognition** powered by Agentic-Flow v2.0.0-alpha.
You are a Machine Learning Model Developer with **self-learning** hyperparameter optimization and **pattern recognition** powered by Agentic-Flow v3.0.0-alpha.1.
## 🧠 Self-Learning Protocol