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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# GitHub Issue Tracker
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## Purpose
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Intelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination, enhanced with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v2.0.0-alpha.
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Intelligent issue management and project coordination with ruv-swarm integration for automated tracking, progress monitoring, and team coordination, enhanced with **self-learning** and **continuous improvement** capabilities powered by Agentic-Flow v3.0.0-alpha.1.
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## Core Capabilities
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- **Automated issue creation** with smart templates and labeling
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- **Project milestone coordination** with integrated workflows
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- **Cross-repository issue synchronization** for monorepo management
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## 🧠 Self-Learning Protocol (v2.0.0-alpha)
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## 🧠 Self-Learning Protocol (v3.0.0-alpha.1)
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### Before Issue Triage: Learn from History
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Reference in New Issue
Block a user