Consolidate workflows and tools from commands repository

Repository Restructure:
- Move all 83 agent .md files to agents/ subdirectory
- Add 15 workflow orchestrators from commands repo to workflows/
- Add 42 development tools from commands repo to tools/
- Update README for unified repository structure

The commands repository functionality is now fully integrated, providing
complete workflow orchestration and development tooling alongside agents.

Directory Structure:
- agents/    - 83 specialized AI agents
- workflows/ - 15 multi-agent orchestration commands
- tools/     - 42 focused development utilities

No breaking changes to agent functionality - all agents remain accessible
with same names and behavior. Adds workflow and tool commands for enhanced
multi-agent coordination capabilities.

workflows/ml-pipeline.md

@@ -0,0 +1,47 @@
+---
+model: claude-opus-4-1
+---
+
+# Machine Learning Pipeline
+
+Design and implement a complete ML pipeline for: $ARGUMENTS
+
+Create a production-ready pipeline including:
+
+1. **Data Ingestion**:
+   - Multiple data source connectors
+   - Schema validation with Pydantic
+   - Data versioning strategy
+   - Incremental loading capabilities
+
+2. **Feature Engineering**:
+   - Feature transformation pipeline
+   - Feature store integration
+   - Statistical validation
+   - Handling missing data and outliers
+
+3. **Model Training**:
+   - Experiment tracking (MLflow/W&B)
+   - Hyperparameter optimization
+   - Cross-validation strategy
+   - Model versioning
+
+4. **Model Evaluation**:
+   - Comprehensive metrics
+   - A/B testing framework
+   - Bias detection
+   - Performance monitoring
+
+5. **Deployment**:
+   - Model serving API
+   - Batch/stream prediction
+   - Model registry
+   - Rollback capabilities
+
+6. **Monitoring**:
+   - Data drift detection
+   - Model performance tracking
+   - Alert system
+   - Retraining triggers
+
+Include error handling, logging, and make it cloud-agnostic. Use modern tools like DVC, MLflow, or similar. Ensure reproducibility and scalability.