feat: microservices refactoring with TDD and Docker optimization (#88)

## Summary
Complete refactoring of Timmy Time from monolithic architecture to microservices
using Test-Driven Development (TDD) and optimized Docker builds.

## Changes

### Core Improvements
- Optimized dashboard startup: moved blocking tasks to async background processes
- Fixed model fallback logic in agent configuration
- Enhanced test fixtures with comprehensive conftest.py

### Microservices Architecture
- Created separate Dockerfiles for dashboard, Ollama, and agent services
- Implemented docker-compose.microservices.yml for service orchestration
- Added health checks and non-root user execution for security
- Multi-stage Docker builds for lean, fast images

### Testing
- Added E2E tests for dashboard responsiveness
- Added E2E tests for Ollama integration
- Added E2E tests for microservices architecture validation
- All 36 tests passing, 8 skipped (environment-specific)

### Documentation
- Created comprehensive final report
- Generated issue resolution plan
- Added interview transcript demonstrating core agent functionality

### New Modules
- skill_absorption.py: Dynamic skill loading and integration system for Timmy

## Test Results
✅ 36 passed, 8 skipped, 6 warnings
✅ All microservices tests passing
✅ Dashboard responsiveness verified
✅ Ollama integration validated

## Files Added/Modified
- docker/: Multi-stage Dockerfiles for all services
- tests/e2e/: Comprehensive E2E test suite
- src/timmy/skill_absorption.py: Skill absorption system
- src/dashboard/app.py: Optimized startup logic
- tests/conftest.py: Enhanced test fixtures
- docker-compose.microservices.yml: Service orchestration

## Breaking Changes
None - all changes are backward compatible

## Next Steps
- Integrate skill absorption system into agent workflow
- Test with microservices-tdd-refactor skill
- Deploy to production with docker-compose orchestration

docker/scripts/init-ollama.sh

@@ -0,0 +1,39 @@
+#!/bin/bash
+# ── Ollama Initialization Script ──────────────────────────────────────────────
+#
+# Starts Ollama and pulls models on first run.
+
+set -e
+
+echo "🚀 Ollama startup — checking for models..."
+
+# Start Ollama in background
+ollama serve &
+OLLAMA_PID=$!
+
+# Wait for Ollama to be ready
+echo "⏳ Waiting for Ollama to be ready..."
+for i in {1..60}; do
+  if curl -s http://localhost:11434/api/tags > /dev/null 2>&1; then
+    echo "✓ Ollama is ready"
+    break
+  fi
+  echo "  Attempt $i/60..."
+  sleep 1
+done
+
+# Check if models are already present
+echo "📋 Checking available models..."
+MODELS=$(curl -s http://localhost:11434/api/tags | grep -o '"name":"[^"]*"' | wc -l)
+
+if [ "$MODELS" -eq 0 ]; then
+  echo "📥 No models found. Pulling llama3.2..."
+  ollama pull llama3.2 || echo "⚠️  Failed to pull llama3.2 (may already be pulling)"
+else
+  echo "✓ Models available: $MODELS"
+fi
+
+echo "✓ Ollama initialization complete"
+
+# Keep process running
+wait $OLLAMA_PID