diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..250e503
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,32 @@
+# Python
+__pycache__/
+*.py[cod]
+*$py.class
+*.so
+.Python
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+*.egg-info/
+dist/
+build/
+
+# Generated workflow visualizations
+workflow-visualizations/
+
+# Temporary files
+/tmp/
+*.tmp
+*.bak
+
+# IDE
+.vscode/
+.idea/
+*.swp
+*.swo
+
+# OS
+.DS_Store
+Thumbs.db
\ No newline at end of file
diff --git a/lib/n8n_validate.py b/lib/n8n_validate.py
new file mode 100755
index 0000000..25d9fac
--- /dev/null
+++ b/lib/n8n_validate.py
@@ -0,0 +1,50 @@
+#!/usr/bin/env python3
+"""
+n8n-validate command-line tool.
+Validates n8n workflow JSON files.
+"""
+import sys
+import argparse
+from pathlib import Path
+from n8n_validator import N8nWorkflowValidator, validate_workflows_in_directory
+
+def main():
+    parser = argparse.ArgumentParser(description='Validate n8n workflow JSON files')
+    parser.add_argument('path', help='Path to JSON file or directory to validate')
+    parser.add_argument('--recursive', '-r', action='store_true', 
+                       help='Recursively validate all JSON files in subdirectories')
+    parser.add_argument('--verbose', '-v', action='store_true',
+                       help='Enable verbose output')
+    
+    args = parser.parse_args()
+    
+    path = Path(args.path)
+    
+    if not path.exists():
+        print(f"Error: Path does not exist: {path}", file=sys.stderr)
+        return 1
+    
+    if path.is_file():
+        # Validate single file
+        validator = N8nWorkflowValidator()
+        if validator.validate_file(path):
+            if args.verbose:
+                print(f"✅ Valid workflow: {path}")
+            return 0
+        else:
+            print(f"❌ Invalid workflow: {path}", file=sys.stderr)
+            return 1
+    
+    elif path.is_dir():
+        # Validate directory
+        if validate_workflows_in_directory(path, recursive=args.recursive):
+            return 0
+        else:
+            return 1
+    
+    else:
+        print(f"Error: Invalid path type: {path}", file=sys.stderr)
+        return 1
+
+if __name__ == '__main__':
+    sys.exit(main())
\ No newline at end of file
diff --git a/lib/n8n_validator.py b/lib/n8n_validator.py
new file mode 100644
index 0000000..6f642e4
--- /dev/null
+++ b/lib/n8n_validator.py
@@ -0,0 +1,189 @@
+"""
+n8n workflow validation and visualization tools.
+"""
+import json
+import sys
+from pathlib import Path
+from typing import Dict, Any, List, Optional
+
+class N8nWorkflowValidator:
+    """Validates n8n workflow JSON files."""
+    
+    def __init__(self):
+        self.required_fields = ['nodes']  # Only nodes is truly required
+        self.node_required_fields = ['id', 'name', 'type', 'position']
+        
+    def validate_workflow(self, workflow_data: Dict[str, Any]) -> bool:
+        """
+        Validate a single n8n workflow.
+        
+        Args:
+            workflow_data: Parsed JSON workflow data
+            
+        Returns:
+            True if valid, False otherwise
+        """
+        try:
+            # Check for required top-level fields
+            for field in self.required_fields:
+                if field not in workflow_data:
+                    print(f"Missing required field: {field}", file=sys.stderr)
+                    return False
+            
+            # Validate nodes array
+            nodes = workflow_data.get('nodes', [])
+            if not isinstance(nodes, list):
+                print("'nodes' must be an array", file=sys.stderr)
+                return False
+                
+            if len(nodes) == 0:
+                print("Workflow must have at least one node", file=sys.stderr)
+                return False
+            
+            # Validate each node
+            node_ids = set()
+            for i, node in enumerate(nodes):
+                if not isinstance(node, dict):
+                    print(f"Node {i} must be an object", file=sys.stderr)
+                    return False
+                
+                # Check required node fields
+                for field in self.node_required_fields:
+                    if field not in node:
+                        print(f"Node {i} missing required field: {field}", file=sys.stderr)
+                        return False
+                
+                # Check for duplicate node IDs
+                node_id = node.get('id')
+                if node_id in node_ids:
+                    print(f"Duplicate node ID: {node_id}", file=sys.stderr)
+                    return False
+                node_ids.add(node_id)
+                
+                # Validate position array
+                position = node.get('position', [])
+                if not isinstance(position, list) or len(position) != 2:
+                    print(f"Node {i} position must be array of 2 numbers", file=sys.stderr)
+                    return False
+                
+                if not all(isinstance(p, (int, float)) for p in position):
+                    print(f"Node {i} position values must be numbers", file=sys.stderr)
+                    return False
+            
+            # Validate meta field if present
+            meta = workflow_data.get('meta', {})
+            if 'meta' in workflow_data and not isinstance(meta, dict):
+                print("'meta' must be an object", file=sys.stderr)
+                return False
+                
+            return True
+            
+        except Exception as e:
+            print(f"Validation error: {str(e)}", file=sys.stderr)
+            return False
+    
+    def validate_file(self, file_path: Path) -> bool:
+        """
+        Validate a workflow file.
+        
+        Args:
+            file_path: Path to the workflow JSON file
+            
+        Returns:
+            True if valid, False otherwise
+        """
+        try:
+            if not file_path.exists():
+                print(f"File not found: {file_path}", file=sys.stderr)
+                return False
+                
+            if not file_path.suffix.lower() == '.json':
+                print(f"Not a JSON file: {file_path}", file=sys.stderr)
+                return False
+            
+            with open(file_path, 'r', encoding='utf-8') as f:
+                try:
+                    workflow_data = json.load(f)
+                except json.JSONDecodeError as e:
+                    print(f"Invalid JSON in {file_path}: {str(e)}", file=sys.stderr)
+                    return False
+            
+            return self.validate_workflow(workflow_data)
+            
+        except Exception as e:
+            print(f"Error validating {file_path}: {str(e)}", file=sys.stderr)
+            return False
+
+
+def validate_workflows_in_directory(directory: Path, recursive: bool = True) -> bool:
+    """
+    Validate all n8n workflows in a directory.
+    
+    Args:
+        directory: Directory to search for workflows
+        recursive: Whether to search subdirectories
+        
+    Returns:
+        True if all workflows are valid, False otherwise
+    """
+    validator = N8nWorkflowValidator()
+    all_valid = True
+    workflow_count = 0
+    
+    if recursive:
+        json_files = list(directory.rglob('*.json'))
+    else:
+        json_files = list(directory.glob('*.json'))
+    
+    # Filter out obviously non-workflow files
+    workflow_files = []
+    for file_path in json_files:
+        # Skip files in certain directories that are likely not workflows
+        skip_dirs = {'node_modules', '.git', 'workflow-visualizations', '__pycache__'}
+        if any(part in skip_dirs for part in file_path.parts):
+            continue
+        
+        # Skip files that are clearly not n8n workflows based on name patterns
+        skip_patterns = {'package.json', 'tsconfig.json'}
+        # Skip index files but not individual templates
+        if file_path.name.startswith('all_templates.'):
+            continue
+        if file_path.name in skip_patterns:
+            continue
+            
+        workflow_files.append(file_path)
+    
+    print(f"Found {len(workflow_files)} potential workflow files to validate")
+    
+    for file_path in workflow_files:
+        try:
+            # Quick check if this looks like an n8n workflow
+            with open(file_path, 'r', encoding='utf-8') as f:
+                try:
+                    data = json.load(f)
+                    # Basic heuristic: n8n workflows should have 'nodes' and typically 'meta'
+                    if not isinstance(data, dict) or 'nodes' not in data:
+                        continue  # Skip files that don't look like n8n workflows
+                except json.JSONDecodeError:
+                    continue  # Skip invalid JSON files
+            
+            workflow_count += 1
+            print(f"Validating: {file_path}")
+            
+            if not validator.validate_file(file_path):
+                print(f"❌ Validation failed for: {file_path}")
+                all_valid = False
+            else:
+                print(f"✅ Valid workflow: {file_path}")
+                
+        except Exception as e:
+            print(f"Error processing {file_path}: {str(e)}", file=sys.stderr)
+            all_valid = False
+    
+    print(f"\nValidated {workflow_count} n8n workflows")
+    if all_valid:
+        print("✅ All workflows are valid!")
+    else:
+        print("❌ Some workflows failed validation")
+        
+    return all_valid
\ No newline at end of file
diff --git a/lib/n8n_visualize.py b/lib/n8n_visualize.py
new file mode 100755
index 0000000..0ca2229
--- /dev/null
+++ b/lib/n8n_visualize.py
@@ -0,0 +1,55 @@
+#!/usr/bin/env python3
+"""
+n8n-visualize command-line tool.
+Creates visualizations of n8n workflow JSON files.
+"""
+import sys
+import argparse
+from pathlib import Path
+from n8n_visualizer import N8nWorkflowVisualizer
+
+def main():
+    parser = argparse.ArgumentParser(description='Create visualizations of n8n workflow JSON files')
+    parser.add_argument('input', help='Path to JSON workflow file')
+    parser.add_argument('-o', '--output', help='Output image file path (default: same as input with .png extension)')
+    parser.add_argument('--no-show', action='store_true', help='Do not show the visualization interactively')
+    parser.add_argument('--width', type=int, default=800, help='Image width in pixels (default: 800)')
+    parser.add_argument('--height', type=int, default=600, help='Image height in pixels (default: 600)')
+    parser.add_argument('--format', choices=['png', 'svg', 'pdf'], default='png', 
+                       help='Output format (default: png)')
+    
+    args = parser.parse_args()
+    
+    input_path = Path(args.input)
+    
+    if not input_path.exists():
+        print(f"Error: Input file does not exist: {input_path}", file=sys.stderr)
+        return 1
+    
+    if not input_path.is_file():
+        print(f"Error: Input path is not a file: {input_path}", file=sys.stderr)
+        return 1
+    
+    # Determine output path
+    if args.output:
+        output_path = Path(args.output)
+    else:
+        output_path = input_path.with_suffix(f'.{args.format}')
+    
+    # Create visualization
+    visualizer = N8nWorkflowVisualizer()
+    result = visualizer.visualize_file(
+        input_path, 
+        output_path, 
+        show=not args.no_show
+    )
+    
+    if result:
+        print(f"Visualization created: {result}")
+        return 0
+    else:
+        print("Failed to create visualization", file=sys.stderr)
+        return 1
+
+if __name__ == '__main__':
+    sys.exit(main())
\ No newline at end of file
diff --git a/lib/n8n_visualizer.py b/lib/n8n_visualizer.py
new file mode 100644
index 0000000..b02c2d6
--- /dev/null
+++ b/lib/n8n_visualizer.py
@@ -0,0 +1,304 @@
+"""
+n8n workflow visualization tools.
+"""
+import json
+import sys
+from pathlib import Path
+from typing import Dict, Any, List, Tuple, Optional
+import matplotlib
+matplotlib.use('Agg')  # Use non-interactive backend
+import matplotlib.pyplot as plt
+import networkx as nx
+from PIL import Image, ImageDraw, ImageFont
+import io
+
+class N8nWorkflowVisualizer:
+    """Creates visualizations of n8n workflows."""
+    
+    def __init__(self):
+        self.node_colors = {
+            'trigger': '#ff6b6b',
+            'action': '#4ecdc4', 
+            'condition': '#ffe66d',
+            'function': '#a8e6cf',
+            'default': '#95a5a6'
+        }
+        
+    def _get_node_color(self, node_type: str) -> str:
+        """Get color for a node based on its type."""
+        if 'trigger' in node_type.lower():
+            return self.node_colors['trigger']
+        elif 'if' in node_type.lower() or 'switch' in node_type.lower():
+            return self.node_colors['condition']
+        elif 'function' in node_type.lower() or 'code' in node_type.lower():
+            return self.node_colors['function']
+        elif any(term in node_type.lower() for term in ['http', 'webhook', 'email', 'slack', 'telegram']):
+            return self.node_colors['action']
+        else:
+            return self.node_colors['default']
+    
+    def create_workflow_graph(self, workflow_data: Dict[str, Any]) -> nx.DiGraph:
+        """
+        Create a NetworkX graph from n8n workflow data.
+        
+        Args:
+            workflow_data: Parsed n8n workflow JSON
+            
+        Returns:
+            NetworkX directed graph representing the workflow
+        """
+        G = nx.DiGraph()
+        
+        nodes = workflow_data.get('nodes', [])
+        connections = workflow_data.get('connections', {})
+        
+        # Add nodes
+        for node in nodes:
+            node_id = node.get('id')
+            node_name = node.get('name', 'Unnamed')
+            node_type = node.get('type', 'unknown')
+            position = node.get('position', [0, 0])
+            
+            G.add_node(
+                node_id,
+                label=node_name,
+                type=node_type,
+                pos=(position[0]/100, -position[1]/100),  # Scale and invert Y for better layout
+                color=self._get_node_color(node_type)
+            )
+        
+        # Add edges based on connections
+        for source_node, source_outputs in connections.items():
+            for output_type, output_connections in source_outputs.items():
+                if isinstance(output_connections, list):
+                    for connection_list in output_connections:
+                        if isinstance(connection_list, list):
+                            for connection in connection_list:
+                                if isinstance(connection, dict):
+                                    target_node = connection.get('node')
+                                    if target_node and G.has_node(source_node) and G.has_node(target_node):
+                                        G.add_edge(source_node, target_node)
+        
+        return G
+    
+    def visualize_workflow_matplotlib(
+        self, 
+        workflow_data: Dict[str, Any], 
+        output_path: Optional[Path] = None,
+        figsize: Tuple[int, int] = (12, 8),
+        show: bool = False
+    ) -> Optional[Path]:
+        """
+        Create a matplotlib visualization of the workflow.
+        
+        Args:
+            workflow_data: Parsed n8n workflow JSON
+            output_path: Path to save the visualization
+            figsize: Figure size tuple
+            show: Whether to show the plot interactively
+            
+        Returns:
+            Path to saved file if output_path provided, None otherwise
+        """
+        try:
+            G = self.create_workflow_graph(workflow_data)
+            
+            if len(G.nodes()) == 0:
+                print("No nodes found in workflow", file=sys.stderr)
+                return None
+            
+            plt.figure(figsize=figsize)
+            
+            # Use positions from n8n if available, otherwise use spring layout
+            try:
+                pos = nx.get_node_attributes(G, 'pos')
+                if not pos or len(pos) == 0:
+                    pos = nx.spring_layout(G, k=2, iterations=50)
+            except:
+                pos = nx.spring_layout(G, k=2, iterations=50)
+            
+            # Get node colors
+            node_colors = [G.nodes[node].get('color', self.node_colors['default']) for node in G.nodes()]
+            
+            # Get node labels
+            labels = {node: G.nodes[node].get('label', node[:8] + '...') if len(G.nodes[node].get('label', node)) > 10 else G.nodes[node].get('label', node) for node in G.nodes()}
+            
+            # Draw the graph
+            nx.draw_networkx_nodes(G, pos, node_color=node_colors, node_size=2000, alpha=0.9)
+            nx.draw_networkx_edges(G, pos, edge_color='gray', arrows=True, arrowsize=20, alpha=0.6)
+            nx.draw_networkx_labels(G, pos, labels, font_size=8, font_weight='bold')
+            
+            # Add title
+            workflow_name = workflow_data.get('name', 'n8n Workflow')
+            plt.title(f'n8n Workflow: {workflow_name}', fontsize=16, fontweight='bold', pad=20)
+            
+            # Remove axes
+            plt.axis('off')
+            
+            # Add legend
+            legend_elements = [
+                plt.Line2D([0], [0], marker='o', color='w', markerfacecolor=color, 
+                          markersize=10, label=node_type.title())
+                for node_type, color in self.node_colors.items() if node_type != 'default'
+            ]
+            plt.legend(handles=legend_elements, loc='upper left', bbox_to_anchor=(0, 1))
+            
+            plt.tight_layout()
+            
+            if output_path:
+                plt.savefig(output_path, dpi=150, bbox_inches='tight', 
+                           facecolor='white', edgecolor='none')
+                print(f"Visualization saved to: {output_path}")
+            
+            if show:
+                plt.show()
+            else:
+                plt.close()
+            
+            return output_path
+            
+        except Exception as e:
+            print(f"Error creating visualization: {str(e)}", file=sys.stderr)
+            return None
+    
+    def create_simple_diagram(
+        self, 
+        workflow_data: Dict[str, Any], 
+        output_path: Path,
+        width: int = 800,
+        height: int = 600
+    ) -> bool:
+        """
+        Create a simple diagram using PIL when matplotlib fails.
+        
+        Args:
+            workflow_data: Parsed n8n workflow JSON
+            output_path: Path to save the image
+            width: Image width
+            height: Image height
+            
+        Returns:
+            True if successful, False otherwise
+        """
+        try:
+            # Create a blank image
+            img = Image.new('RGB', (width, height), color='white')
+            draw = ImageDraw.Draw(img)
+            
+            nodes = workflow_data.get('nodes', [])
+            if not nodes:
+                return False
+            
+            # Try to load a font, fallback to default if not available
+            try:
+                font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans.ttf", 12)
+                title_font = ImageFont.truetype("/usr/share/fonts/truetype/dejavu/DejaVuSans-Bold.ttf", 16)
+            except:
+                font = ImageFont.load_default()
+                title_font = font
+            
+            # Draw title
+            workflow_name = workflow_data.get('name', 'n8n Workflow')
+            title_text = f"n8n Workflow: {workflow_name}"
+            draw.text((10, 10), title_text, fill='black', font=title_font)
+            
+            # Calculate positions for nodes
+            node_width = 120
+            node_height = 40
+            margin = 20
+            start_y = 60
+            
+            cols = max(1, (width - 2 * margin) // (node_width + margin))
+            
+            for i, node in enumerate(nodes[:20]):  # Limit to first 20 nodes
+                col = i % cols
+                row = i // cols
+                
+                x = margin + col * (node_width + margin)
+                y = start_y + row * (node_height + margin)
+                
+                # Draw node rectangle
+                node_type = node.get('type', 'unknown')
+                color = self._get_node_color(node_type)
+                
+                # Convert hex color to RGB
+                if color.startswith('#'):
+                    color = tuple(int(color[j:j+2], 16) for j in (1, 3, 5))
+                else:
+                    color = (149, 165, 166)  # Default gray
+                
+                draw.rectangle([x, y, x + node_width, y + node_height], 
+                             fill=color, outline='black', width=2)
+                
+                # Draw node name
+                node_name = node.get('name', 'Unnamed')
+                if len(node_name) > 15:
+                    node_name = node_name[:12] + '...'
+                
+                # Center text in rectangle
+                text_bbox = draw.textbbox((0, 0), node_name, font=font)
+                text_width = text_bbox[2] - text_bbox[0]
+                text_height = text_bbox[3] - text_bbox[1]
+                text_x = x + (node_width - text_width) // 2
+                text_y = y + (node_height - text_height) // 2
+                
+                draw.text((text_x, text_y), node_name, fill='white', font=font)
+            
+            # Add footer info
+            footer_text = f"Contains {len(nodes)} nodes"
+            draw.text((10, height - 30), footer_text, fill='gray', font=font)
+            
+            img.save(output_path)
+            print(f"Simple diagram saved to: {output_path}")
+            return True
+            
+        except Exception as e:
+            print(f"Error creating simple diagram: {str(e)}", file=sys.stderr)
+            return False
+    
+    def visualize_file(
+        self, 
+        file_path: Path, 
+        output_path: Optional[Path] = None,
+        show: bool = False
+    ) -> Optional[Path]:
+        """
+        Create a visualization from a workflow file.
+        
+        Args:
+            file_path: Path to the workflow JSON file
+            output_path: Path to save the visualization
+            show: Whether to show the plot interactively
+            
+        Returns:
+            Path to saved file if successful, None otherwise
+        """
+        try:
+            if not file_path.exists():
+                print(f"File not found: {file_path}", file=sys.stderr)
+                return None
+            
+            with open(file_path, 'r', encoding='utf-8') as f:
+                workflow_data = json.load(f)
+            
+            # Generate output path if not provided
+            if output_path is None:
+                output_path = file_path.with_suffix('.png')
+            
+            # Try matplotlib first, fallback to simple diagram
+            result = self.visualize_workflow_matplotlib(workflow_data, output_path, show=show)
+            if result is None:
+                # Fallback to simple diagram
+                if self.create_simple_diagram(workflow_data, output_path):
+                    return output_path
+                else:
+                    return None
+            
+            return result
+            
+        except json.JSONDecodeError as e:
+            print(f"Invalid JSON in {file_path}: {str(e)}", file=sys.stderr)
+            return None
+        except Exception as e:
+            print(f"Error visualizing {file_path}: {str(e)}", file=sys.stderr)
+            return None
\ No newline at end of file
diff --git a/lib/requirements.txt b/lib/requirements.txt
new file mode 100644
index 0000000..4f8b2de
--- /dev/null
+++ b/lib/requirements.txt
@@ -0,0 +1,5 @@
+jsonschema>=4.0.0
+pillow>=9.0.0
+matplotlib>=3.5.0
+networkx>=2.8.0
+requests>=2.28.0
\ No newline at end of file
diff --git a/lib/setup.py b/lib/setup.py
new file mode 100644
index 0000000..b31a654
--- /dev/null
+++ b/lib/setup.py
@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+"""
+Setup script for n8n workflow validation and visualization tools.
+"""
+from setuptools import setup, find_packages
+
+setup(
+    name="n8n-workflow-tools",
+    version="1.0.0",
+    description="Validation and visualization tools for n8n workflows",
+    author="n8n Community",
+    py_modules=[
+        'n8n_validator',
+        'n8n_visualizer',
+        'n8n_validate', 
+        'n8n_visualize'
+    ],
+    install_requires=[
+        'jsonschema>=4.0.0',
+        'pillow>=9.0.0',
+        'matplotlib>=3.5.0',
+        'networkx>=2.8.0',
+        'requests>=2.28.0'
+    ],
+    entry_points={
+        'console_scripts': [
+            'n8n-validate=n8n_validate:main',
+            'n8n-visualize=n8n_visualize:main',
+        ],
+    },
+    classifiers=[
+        'Development Status :: 4 - Beta',
+        'Intended Audience :: Developers',
+        'License :: OSI Approved :: MIT License',
+        'Programming Language :: Python :: 3',
+        'Programming Language :: Python :: 3.8',
+        'Programming Language :: Python :: 3.9',
+        'Programming Language :: Python :: 3.10',
+        'Programming Language :: Python :: 3.11',
+    ],
+    python_requires='>=3.8',
+)
\ No newline at end of file