commit 3fbcdb96410c898df55511321b1a6b1187df143f
Author: zlei9 <zlei9@126.com>
Date:   Sun Mar 29 14:33:06 2026 +0800

    Initial commit with translated description

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+# n8n Enhanced Workflow Management Skill
+
+Comprehensive n8n automation skill with workflow creation, testing, execution monitoring, and performance optimization capabilities.
+
+## Features
+
+### ✨ Workflow Creation
+- **Template Library:** 6 pre-built SaaS automation workflows
+- **Interactive Builder:** Guided workflow creation
+- **JSON Import:** Create from existing workflow files
+- **Programmatic API:** Build workflows in Python
+
+### 🧪 Testing & Validation
+- **Structure Validation:** Check workflow integrity
+- **Dry-Run Testing:** Test with sample data before activation
+- **Test Suites:** Run multiple test cases
+- **Validation Reports:** Detailed error and warning reports
+
+### 📊 Execution Monitoring
+- **Real-time Tracking:** Monitor workflow execution status
+- **Execution Logs:** Detailed execution history
+- **Error Analysis:** Identify and debug failures
+- **Retry Logic:** Built-in failure handling
+
+### ⚡ Performance Optimization
+- **Performance Analysis:** Comprehensive workflow metrics
+- **Bottleneck Detection:** Identify slow operations
+- **Optimization Suggestions:** Actionable improvement recommendations
+- **Performance Scoring:** 0-100 workflow health score
+
+## Quick Start
+
+### 1. Setup
+
+```bash
+# Set environment variables
+export N8N_API_KEY="your-api-key"
+export N8N_BASE_URL="your-n8n-url-here"
+
+# Verify connection
+python3 scripts/n8n_api.py list-workflows --pretty
+```
+
+### 2. Create Your First Workflow
+
+```bash
+# Deploy a template
+python3 scripts/n8n_api.py create --from-template waitlist-pipeline
+
+# Output: {"id": "123", "name": "Waitlist to Customer Pipeline", ...}
+```
+
+### 3. Test Before Activating
+
+```bash
+# Validate structure
+python3 scripts/n8n_tester.py validate --id 123
+
+# Dry run with test data
+python3 scripts/n8n_tester.py dry-run --id 123 \
+  --data '{"email": "test@example.com", "name": "Test User"}'
+```
+
+### 4. Activate & Monitor
+
+```bash
+# Activate workflow
+python3 scripts/n8n_api.py activate --id 123
+
+# Monitor executions
+python3 scripts/n8n_api.py list-executions --id 123 --limit 10 --pretty
+```
+
+### 5. Optimize Performance
+
+```bash
+# Generate optimization report
+python3 scripts/n8n_optimizer.py report --id 123
+```
+
+## Available Templates
+
+| Template | Description | Trigger | Key Features |
+|----------|-------------|---------|--------------|
+| **waitlist-pipeline** | Waitlist to customer automation | Webhook | Email validation, CRM integration, welcome emails |
+| **product-hunt** | Monitor Product Hunt launches | Schedule (hourly) | Vote filtering, Slack notifications, Sheets logging |
+| **social-media-crosspost** | Multi-platform posting | Webhook | Twitter, LinkedIn, Facebook parallel posting |
+| **revenue-dashboard** | Revenue data collection | Schedule (daily) | Stripe integration, Sheets updates |
+| **customer-onboarding** | Multi-day email sequence | Webhook | Time-delayed follow-ups, progressive engagement |
+| **lead-scraping** | Lead generation pipeline | Schedule (daily) | Web scraping, data enrichment, DB storage |
+
+## CLI Commands
+
+### Workflow Management
+
+```bash
+# List all workflows
+python3 scripts/n8n_api.py list-workflows --pretty
+
+# Get workflow details
+python3 scripts/n8n_api.py get-workflow --id <id> --pretty
+
+# Create from template
+python3 scripts/n8n_api.py create --from-template waitlist-pipeline
+
+# Create from file
+python3 scripts/n8n_api.py create --from-file workflow.json
+
+# Activate/Deactivate
+python3 scripts/n8n_api.py activate --id <id>
+python3 scripts/n8n_api.py deactivate --id <id>
+```
+
+### Testing & Validation
+
+```bash
+# Validate workflow
+python3 scripts/n8n_tester.py validate --id <id> --pretty
+
+# Validate from file
+python3 scripts/n8n_tester.py validate --file workflow.json --pretty
+
+# Dry run with data
+python3 scripts/n8n_tester.py dry-run --id <id> --data '{"key": "value"}'
+
+# Dry run with file
+python3 scripts/n8n_tester.py dry-run --id <id> --data-file test-data.json
+
+# Generate test report
+python3 scripts/n8n_tester.py report --id <id>
+
+# Run test suite
+python3 scripts/n8n_tester.py test-suite --id <id> --test-suite tests.json
+```
+
+### Execution Monitoring
+
+```bash
+# List executions
+python3 scripts/n8n_api.py list-executions --limit 20 --pretty
+
+# Get execution details
+python3 scripts/n8n_api.py get-execution --id <exec-id> --pretty
+
+# Execute manually
+python3 scripts/n8n_api.py execute --id <workflow-id>
+
+# Execute with data
+python3 scripts/n8n_api.py execute --id <id> --data '{"key": "value"}'
+
+# Get statistics
+python3 scripts/n8n_api.py stats --id <id> --days 7 --pretty
+```
+
+### Performance Optimization
+
+```bash
+# Analyze performance
+python3 scripts/n8n_optimizer.py analyze --id <id> --pretty
+
+# Get suggestions
+python3 scripts/n8n_optimizer.py suggest --id <id> --pretty
+
+# Generate report
+python3 scripts/n8n_optimizer.py report --id <id>
+```
+
+## Python API
+
+### Basic Usage
+
+```python
+from scripts.n8n_api import N8nClient
+
+client = N8nClient()
+
+# List workflows
+workflows = client.list_workflows(active=True)
+print(f"Active workflows: {len(workflows)}")
+
+# Create workflow
+workflow = client.create_workflow({
+    'name': 'My Workflow',
+    'nodes': [...],
+    'connections': {...}
+})
+
+# Execute workflow
+result = client.execute_workflow(workflow['id'], data={'test': True})
+```
+
+### Testing
+
+```python
+from scripts.n8n_tester import WorkflowTester
+
+tester = WorkflowTester()
+
+# Validate
+validation = tester.validate_workflow(workflow_id='123')
+if validation['valid']:
+    print("✓ Workflow is valid")
+else:
+    print(f"✗ Errors: {validation['errors']}")
+
+# Dry run
+result = tester.dry_run('123', test_data={'email': 'test@example.com'})
+print(f"Status: {result['status']}")
+```
+
+### Optimization
+
+```python
+from scripts.n8n_optimizer import WorkflowOptimizer
+
+optimizer = WorkflowOptimizer()
+
+# Analyze
+analysis = optimizer.analyze_performance('123', days=30)
+print(f"Performance Score: {analysis['performance_score']}/100")
+print(f"Health: {analysis['execution_metrics']['health']}")
+
+# Get suggestions
+suggestions = optimizer.suggest_optimizations('123')
+print(f"Priority Actions: {len(suggestions['priority_actions'])}")
+```
+
+## Common Workflows
+
+### Create → Test → Deploy
+
+```bash
+# 1. Create from template
+python3 scripts/n8n_api.py create --from-template waitlist-pipeline > workflow.json
+WORKFLOW_ID=$(cat workflow.json | jq -r '.id')
+
+# 2. Validate structure
+python3 scripts/n8n_tester.py validate --id $WORKFLOW_ID
+
+# 3. Test with sample data
+python3 scripts/n8n_tester.py dry-run --id $WORKFLOW_ID \
+  --data '{"email": "test@example.com", "name": "Test User"}' --report
+
+# 4. If tests pass, activate
+python3 scripts/n8n_api.py activate --id $WORKFLOW_ID
+```
+
+### Debug Failed Workflow
+
+```bash
+# 1. Check recent executions
+python3 scripts/n8n_api.py list-executions --id $WORKFLOW_ID --limit 5
+
+# 2. Get execution details
+python3 scripts/n8n_api.py get-execution --id $EXEC_ID --pretty
+
+# 3. Validate workflow structure
+python3 scripts/n8n_tester.py report --id $WORKFLOW_ID
+
+# 4. Check for optimization issues
+python3 scripts/n8n_optimizer.py report --id $WORKFLOW_ID
+```
+
+### Optimize Performance
+
+```bash
+# 1. Analyze current state
+python3 scripts/n8n_optimizer.py analyze --id $WORKFLOW_ID --days 30 --pretty
+
+# 2. Get recommendations
+python3 scripts/n8n_optimizer.py suggest --id $WORKFLOW_ID --pretty
+
+# 3. Generate full report
+python3 scripts/n8n_optimizer.py report --id $WORKFLOW_ID > optimization-report.txt
+
+# 4. Review execution stats
+python3 scripts/n8n_api.py stats --id $WORKFLOW_ID --days 30 --pretty
+```
+
+## File Structure
+
+```
+~/clawd/skills/n8n/
+├── README.md                   # This file
+├── SKILL.md                    # Comprehensive documentation
+├── scripts/
+│   ├── n8n_api.py             # Core API client
+│   ├── n8n_tester.py          # Testing & validation
+│   └── n8n_optimizer.py       # Performance optimization
+├── templates/
+│   ├── README.md              # Template documentation
+│   ├── *.json                 # Workflow templates
+│   └── test-data-*.json       # Test data files
+└── references/
+    └── api.md                 # API reference
+```
+
+## Best Practices
+
+1. **Always validate before activating:** Catch errors early
+2. **Test with sample data:** Use dry-run to verify behavior
+3. **Monitor execution metrics:** Track success rates and failures
+4. **Regular optimization reviews:** Monthly performance analysis
+5. **Use templates as starting points:** Proven patterns save time
+6. **Document customizations:** Keep changelog of modifications
+7. **Implement error handling:** Add error nodes for reliability
+8. **Gradual rollout:** Test with limited traffic initially
+
+## Troubleshooting
+
+| Issue | Solution |
+|-------|----------|
+| Authentication error | Set `N8N_API_KEY` environment variable |
+| Connection error | Verify `N8N_BASE_URL` and network access |
+| Validation errors | Check workflow JSON structure |
+| Execution timeout | Optimize expensive operations, reduce dataset size |
+| Rate limiting | Add Wait nodes, implement backoff |
+| Missing credentials | Configure in n8n UI, assign to nodes |
+
+## Resources
+
+- **Documentation:** [SKILL.md](SKILL.md)
+- **Templates:** [templates/README.md](templates/README.md)
+- **n8n Docs:** https://docs.n8n.io
+- **n8n API:** https://docs.n8n.io/api/
+- **n8n Community:** https://community.n8n.io
+
+## Support
+
+For issues or questions:
+1. Check validation output: `python3 scripts/n8n_tester.py validate --id <id>`
+2. Review execution logs: `python3 scripts/n8n_api.py get-execution --id <exec-id>`
+3. Generate optimization report: `python3 scripts/n8n_optimizer.py report --id <id>`
+4. Consult [SKILL.md](SKILL.md) for detailed documentation
+
+## License
+
+Part of the Clawdbot skills library.
diff --git a/SKILL.md b/SKILL.md
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+---
+name: n8n
+description: "通过API管理n8n工作流和自动化。"
+metadata: {"openclaw":{"emoji":"\u2699\ufe0f","requires":{"env":["N8N_API_KEY","N8N_BASE_URL"]},"primaryEnv":"N8N_API_KEY"}}
+---
+
+# n8n Workflow Management
+
+Comprehensive workflow automation management for n8n platform with creation, testing, execution monitoring, and performance optimization capabilities.
+
+## ⚠️ CRITICAL: Workflow Creation Rules
+
+**When creating n8n workflows, ALWAYS:**
+
+1. ✅ **Generate COMPLETE workflows** with all functional nodes
+2. ✅ **Include actual HTTP Request nodes** for API calls (ImageFX, Gemini, Veo, Suno, etc.)
+3. ✅ **Add Code nodes** for data transformation and logic
+4. ✅ **Create proper connections** between all nodes
+5. ✅ **Use real node types** (n8n-nodes-base.httpRequest, n8n-nodes-base.code, n8n-nodes-base.set)
+
+**NEVER:**
+- ❌ Create "Setup Instructions" placeholder nodes
+- ❌ Generate workflows with only TODO comments
+- ❌ Make incomplete workflows requiring manual node addition
+- ❌ Use text-only nodes as substitutes for real functionality
+
+**Example GOOD workflow:**
+```
+Manual Trigger → Set Config → HTTP Request (API call) → Code (parse) → Response
+```
+
+**Example BAD workflow:**
+```
+Manual Trigger → Code ("Add HTTP nodes here, configure APIs...")
+```
+
+Always build the complete, functional workflow with all necessary nodes configured and connected.
+
+## Setup
+
+**Required environment variables:**
+- `N8N_API_KEY` — Your n8n API key (Settings → API in the n8n UI)
+- `N8N_BASE_URL` — Your n8n instance URL
+
+**Configure credentials via OpenClaw settings:**
+
+Add to `~/.config/openclaw/settings.json`:
+```json
+{
+  "skills": {
+    "n8n": {
+      "env": {
+        "N8N_API_KEY": "your-api-key-here",
+        "N8N_BASE_URL": "your-n8n-url-here"
+      }
+    }
+  }
+}
+```
+
+Or set per-session (do **not** persist secrets in shell rc files):
+```bash
+export N8N_API_KEY="your-api-key-here"
+export N8N_BASE_URL="your-n8n-url-here"
+```
+
+**Verify connection:**
+```bash
+python3 scripts/n8n_api.py list-workflows --pretty
+```
+
+> **Security note:** Never store API keys in plaintext shell config files (`~/.bashrc`, `~/.zshrc`). Use the OpenClaw settings file or a secure secret manager.
+
+## Quick Reference
+
+### Workflow Management
+
+#### List Workflows
+```bash
+python3 scripts/n8n_api.py list-workflows --pretty
+python3 scripts/n8n_api.py list-workflows --active true --pretty
+```
+
+#### Get Workflow Details
+```bash
+python3 scripts/n8n_api.py get-workflow --id <workflow-id> --pretty
+```
+
+#### Create Workflows
+```bash
+# From JSON file
+python3 scripts/n8n_api.py create --from-file workflow.json
+```
+
+#### Activate/Deactivate
+```bash
+python3 scripts/n8n_api.py activate --id <workflow-id>
+python3 scripts/n8n_api.py deactivate --id <workflow-id>
+```
+
+### Testing & Validation
+
+#### Validate Workflow Structure
+```bash
+# Validate existing workflow
+python3 scripts/n8n_tester.py validate --id <workflow-id>
+
+# Validate from file
+python3 scripts/n8n_tester.py validate --file workflow.json --pretty
+
+# Generate validation report
+python3 scripts/n8n_tester.py report --id <workflow-id>
+```
+
+#### Dry Run Testing
+```bash
+# Test with data
+python3 scripts/n8n_tester.py dry-run --id <workflow-id> --data '{"email": "test@example.com"}'
+
+# Test with data file
+python3 scripts/n8n_tester.py dry-run --id <workflow-id> --data-file test-data.json
+
+# Full test report (validation + dry run)
+python3 scripts/n8n_tester.py dry-run --id <workflow-id> --data-file test.json --report
+```
+
+#### Test Suite
+```bash
+# Run multiple test cases
+python3 scripts/n8n_tester.py test-suite --id <workflow-id> --test-suite test-cases.json
+```
+
+### Execution Monitoring
+
+#### List Executions
+```bash
+# Recent executions (all workflows)
+python3 scripts/n8n_api.py list-executions --limit 10 --pretty
+
+# Specific workflow executions
+python3 scripts/n8n_api.py list-executions --id <workflow-id> --limit 20 --pretty
+```
+
+#### Get Execution Details
+```bash
+python3 scripts/n8n_api.py get-execution --id <execution-id> --pretty
+```
+
+#### Manual Execution
+```bash
+# Trigger workflow
+python3 scripts/n8n_api.py execute --id <workflow-id>
+
+# Execute with data
+python3 scripts/n8n_api.py execute --id <workflow-id> --data '{"key": "value"}'
+```
+
+### Performance Optimization
+
+#### Analyze Performance
+```bash
+# Full performance analysis
+python3 scripts/n8n_optimizer.py analyze --id <workflow-id> --pretty
+
+# Analyze specific period
+python3 scripts/n8n_optimizer.py analyze --id <workflow-id> --days 30 --pretty
+```
+
+#### Get Optimization Suggestions
+```bash
+# Priority-ranked suggestions
+python3 scripts/n8n_optimizer.py suggest --id <workflow-id> --pretty
+```
+
+#### Generate Optimization Report
+```bash
+# Human-readable report with metrics, bottlenecks, and suggestions
+python3 scripts/n8n_optimizer.py report --id <workflow-id>
+```
+
+#### Get Workflow Statistics
+```bash
+# Execution statistics
+python3 scripts/n8n_api.py stats --id <workflow-id> --days 7 --pretty
+```
+
+## Python API
+
+### Basic Usage
+
+```python
+from scripts.n8n_api import N8nClient
+
+client = N8nClient()
+
+# List workflows
+workflows = client.list_workflows(active=True)
+
+# Get workflow
+workflow = client.get_workflow('workflow-id')
+
+# Create workflow
+new_workflow = client.create_workflow({
+    'name': 'My Workflow',
+    'nodes': [...],
+    'connections': {...}
+})
+
+# Activate/deactivate
+client.activate_workflow('workflow-id')
+client.deactivate_workflow('workflow-id')
+
+# Executions
+executions = client.list_executions(workflow_id='workflow-id', limit=10)
+execution = client.get_execution('execution-id')
+
+# Execute workflow
+result = client.execute_workflow('workflow-id', data={'key': 'value'})
+```
+
+### Validation & Testing
+
+```python
+from scripts.n8n_api import N8nClient
+from scripts.n8n_tester import WorkflowTester
+
+client = N8nClient()
+tester = WorkflowTester(client)
+
+# Validate workflow
+validation = tester.validate_workflow(workflow_id='123')
+print(f"Valid: {validation['valid']}")
+print(f"Errors: {validation['errors']}")
+print(f"Warnings: {validation['warnings']}")
+
+# Dry run
+result = tester.dry_run(
+    workflow_id='123',
+    test_data={'email': 'test@example.com'}
+)
+print(f"Status: {result['status']}")
+
+# Test suite
+test_cases = [
+    {'name': 'Test 1', 'input': {...}, 'expected': {...}},
+    {'name': 'Test 2', 'input': {...}, 'expected': {...}}
+]
+results = tester.test_suite('123', test_cases)
+print(f"Passed: {results['passed']}/{results['total_tests']}")
+
+# Generate report
+report = tester.generate_test_report(validation, result)
+print(report)
+```
+
+### Performance Optimization
+
+```python
+from scripts.n8n_optimizer import WorkflowOptimizer
+
+optimizer = WorkflowOptimizer()
+
+# Analyze performance
+analysis = optimizer.analyze_performance('workflow-id', days=7)
+print(f"Performance Score: {analysis['performance_score']}/100")
+print(f"Health: {analysis['execution_metrics']['health']}")
+
+# Get suggestions
+suggestions = optimizer.suggest_optimizations('workflow-id')
+print(f"Priority Actions: {len(suggestions['priority_actions'])}")
+print(f"Quick Wins: {len(suggestions['quick_wins'])}")
+
+# Generate report
+report = optimizer.generate_optimization_report(analysis)
+print(report)
+```
+
+## Common Workflows
+
+### 1. Validate and Test Workflow
+
+```bash
+# Validate workflow structure
+python3 scripts/n8n_tester.py validate --id <workflow-id> --pretty
+
+# Test with sample data
+python3 scripts/n8n_tester.py dry-run --id <workflow-id> \
+  --data '{"email": "test@example.com", "name": "Test User"}'
+
+# If tests pass, activate
+python3 scripts/n8n_api.py activate --id <workflow-id>
+```
+
+### 2. Debug Failed Workflow
+
+```bash
+# Check recent executions
+python3 scripts/n8n_api.py list-executions --id <workflow-id> --limit 10 --pretty
+
+# Get specific execution details
+python3 scripts/n8n_api.py get-execution --id <execution-id> --pretty
+
+# Validate workflow structure
+python3 scripts/n8n_tester.py validate --id <workflow-id>
+
+# Generate test report
+python3 scripts/n8n_tester.py report --id <workflow-id>
+
+# Check for optimization issues
+python3 scripts/n8n_optimizer.py report --id <workflow-id>
+```
+
+### 3. Optimize Workflow Performance
+
+```bash
+# Analyze current performance
+python3 scripts/n8n_optimizer.py analyze --id <workflow-id> --days 30 --pretty
+
+# Get actionable suggestions
+python3 scripts/n8n_optimizer.py suggest --id <workflow-id> --pretty
+
+# Generate comprehensive report
+python3 scripts/n8n_optimizer.py report --id <workflow-id>
+
+# Review execution statistics
+python3 scripts/n8n_api.py stats --id <workflow-id> --days 30 --pretty
+
+# Test optimizations with dry run
+python3 scripts/n8n_tester.py dry-run --id <workflow-id> --data-file test-data.json
+```
+
+### 4. Monitor Workflow Health
+
+```bash
+# Check active workflows
+python3 scripts/n8n_api.py list-workflows --active true --pretty
+
+# Review recent execution status
+python3 scripts/n8n_api.py list-executions --limit 20 --pretty
+
+# Get statistics for each critical workflow
+python3 scripts/n8n_api.py stats --id <workflow-id> --pretty
+
+# Generate health reports
+python3 scripts/n8n_optimizer.py report --id <workflow-id>
+```
+
+## Validation Checks
+
+The testing module performs comprehensive validation:
+
+### Structure Validation
+- ✓ Required fields present (nodes, connections)
+- ✓ All nodes have names and types
+- ✓ Connection targets exist
+- ✓ No disconnected nodes (warning)
+
+### Configuration Validation
+- ✓ Nodes requiring credentials are configured
+- ✓ Required parameters are set
+- ✓ HTTP nodes have URLs
+- ✓ Webhook nodes have paths
+- ✓ Email nodes have content
+
+### Flow Validation
+- ✓ Workflow has trigger nodes
+- ✓ Proper execution flow
+- ✓ No circular dependencies
+- ✓ End nodes identified
+
+## Optimization Analysis
+
+The optimizer analyzes multiple dimensions:
+
+### Execution Metrics
+- Total executions
+- Success/failure rates
+- Health status (excellent/good/fair/poor)
+- Error patterns
+
+### Performance Metrics
+- Node count and complexity
+- Connection patterns
+- Expensive operations (API calls, database queries)
+- Parallel execution opportunities
+
+### Bottleneck Detection
+- Sequential expensive operations
+- High failure rates
+- Missing error handling
+- Rate limit issues
+
+### Optimization Opportunities
+- **Parallel Execution:** Identify nodes that can run concurrently
+- **Caching:** Suggest caching for repeated API calls
+- **Batch Processing:** Recommend batching for large datasets
+- **Error Handling:** Add error recovery mechanisms
+- **Complexity Reduction:** Split complex workflows
+- **Timeout Settings:** Configure execution limits
+
+## Performance Scoring
+
+Workflows receive a performance score (0-100) based on:
+
+- **Success Rate:** Higher is better (50% weight)
+- **Complexity:** Lower is better (30% weight)
+- **Bottlenecks:** Fewer is better (critical: -20, high: -10, medium: -5)
+- **Optimizations:** Implemented best practices (+5 each)
+
+Score interpretation:
+- **90-100:** Excellent - Well-optimized
+- **70-89:** Good - Minor improvements possible
+- **50-69:** Fair - Optimization recommended
+- **0-49:** Poor - Significant issues
+
+## Best Practices
+
+### Development
+1. **Plan Structure:** Design workflow nodes and connections before building
+2. **Validate First:** Always validate before deployment
+3. **Test Thoroughly:** Use dry-run with multiple test cases
+4. **Error Handling:** Add error nodes for reliability
+5. **Documentation:** Comment complex logic in Code nodes
+
+### Testing
+1. **Sample Data:** Create realistic test data files
+2. **Edge Cases:** Test boundary conditions and errors
+3. **Incremental:** Test each node addition
+4. **Regression:** Retest after changes
+5. **Production-like:** Use staging environment that mirrors production
+
+### Deployment
+1. **Inactive First:** Deploy workflows in inactive state
+2. **Gradual Rollout:** Test with limited traffic initially
+3. **Monitor Closely:** Watch first executions carefully
+4. **Quick Rollback:** Be ready to deactivate if issues arise
+5. **Document Changes:** Keep changelog of modifications
+
+### Optimization
+1. **Baseline Metrics:** Capture performance before changes
+2. **One Change at a Time:** Isolate optimization impacts
+3. **Measure Results:** Compare before/after metrics
+4. **Regular Reviews:** Schedule monthly optimization reviews
+5. **Cost Awareness:** Monitor API usage and execution costs
+
+### Maintenance
+1. **Health Checks:** Weekly execution statistics review
+2. **Error Analysis:** Investigate failure patterns
+3. **Performance Monitoring:** Track execution times
+4. **Credential Rotation:** Update credentials regularly
+5. **Cleanup:** Archive or delete unused workflows
+
+## Troubleshooting
+
+### Authentication Error
+```
+Error: N8N_API_KEY not found in environment
+```
+**Solution:** Set environment variable:
+```bash
+export N8N_API_KEY="your-api-key"
+```
+
+### Connection Error
+```
+Error: HTTP 401: Unauthorized
+```
+**Solution:** 
+1. Verify API key is correct
+2. Check N8N_BASE_URL is set correctly
+3. Confirm API access is enabled in n8n
+
+### Validation Errors
+```
+Validation failed: Node missing 'name' field
+```
+**Solution:** Check workflow JSON structure, ensure all required fields present
+
+### Execution Timeout
+```
+Status: timeout - Execution did not complete
+```
+**Solution:** 
+1. Check workflow for infinite loops
+2. Reduce dataset size for testing
+3. Optimize expensive operations
+4. Set execution timeout in workflow settings
+
+### Rate Limiting
+```
+Error: HTTP 429: Too Many Requests
+```
+**Solution:**
+1. Add Wait nodes between API calls
+2. Implement exponential backoff
+3. Use batch processing
+4. Check API rate limits
+
+### Missing Credentials
+```
+Warning: Node 'HTTP_Request' may require credentials
+```
+**Solution:**
+1. Configure credentials in n8n UI
+2. Assign credentials to node
+3. Test connection before activating
+
+## File Structure
+
+```
+~/clawd/skills/n8n/
+├── SKILL.md                    # This file
+├── scripts/
+│   ├── n8n_api.py             # Core API client (extended)
+│   ├── n8n_tester.py          # Testing & validation
+│   └── n8n_optimizer.py       # Performance optimization
+└── references/
+    └── api.md                 # n8n API reference
+```
+
+## API Reference
+
+For detailed n8n REST API documentation, see [references/api.md](references/api.md) or visit:
+https://docs.n8n.io/api/
+
+## Support
+
+**Documentation:**
+- n8n Official Docs: https://docs.n8n.io
+- n8n Community Forum: https://community.n8n.io
+- n8n API Reference: https://docs.n8n.io/api/
+
+**Debugging:**
+1. Use validation: `python3 scripts/n8n_tester.py validate --id <workflow-id>`
+2. Check execution logs: `python3 scripts/n8n_api.py get-execution --id <execution-id>`
+3. Review optimization report: `python3 scripts/n8n_optimizer.py report --id <workflow-id>`
+4. Test with dry-run: `python3 scripts/n8n_tester.py dry-run --id <workflow-id> --data-file test.json`
diff --git a/_meta.json b/_meta.json
new file mode 100644
index 0000000..daa4d71
--- /dev/null
+++ b/_meta.json
@@ -0,0 +1,6 @@
+{
+  "ownerId": "kn797ds1ncqqb6bf6c9w26wtcn7z640c",
+  "slug": "n8n",
+  "version": "2.0.0",
+  "publishedAt": 1770748031005
+}
\ No newline at end of file
diff --git a/references/api.md b/references/api.md
new file mode 100644
index 0000000..2ffe908
--- /dev/null
+++ b/references/api.md
@@ -0,0 +1,156 @@
+# n8n API Reference
+
+## Authentication
+
+The n8n API uses API key authentication via the `X-N8N-API-KEY` header.
+
+API keys are managed in the n8n UI:
+- Settings → API
+- User profile → API
+
+## Base URL
+
+`N8N_BASE_URL`
+
+Default: `${N8N_BASE_URL}$/api/v1`
+
+## Endpoints
+
+### Workflows
+
+#### List Workflows
+```
+GET /workflows
+Query params: ?active=true|false
+```
+
+Response:
+```json
+{
+  "data": [
+    {
+      "id": "123",
+      "name": "My Workflow",
+      "active": true,
+      "createdAt": "2026-01-14T10:00:00.000Z",
+      "updatedAt": "2026-01-14T12:00:00.000Z"
+    }
+  ]
+}
+```
+
+#### Get Workflow
+```
+GET /workflows/{id}
+```
+
+#### Create Workflow
+```
+POST /workflows
+Body: workflow JSON
+```
+
+#### Update Workflow
+```
+PATCH /workflows/{id}
+Body: partial workflow JSON
+```
+
+#### Activate/Deactivate
+```
+PATCH /workflows/{id}
+Body: {"active": true|false}
+```
+
+#### Delete Workflow
+```
+DELETE /workflows/{id}
+```
+
+### Executions
+
+#### List Executions
+```
+GET /executions?limit=20&workflowId={id}
+```
+
+Response:
+```json
+{
+  "data": [
+    {
+      "id": "456",
+      "finished": true,
+      "mode": "trigger",
+      "startedAt": "2026-01-14T12:00:00.000Z",
+      "stoppedAt": "2026-01-14T12:00:05.000Z",
+      "workflowId": "123",
+      "status": "success"
+    }
+  ]
+}
+```
+
+#### Get Execution
+```
+GET /executions/{id}
+```
+
+#### Delete Execution
+```
+DELETE /executions/{id}
+```
+
+#### Manual Execution
+```
+POST /workflows/{id}/execute
+Body: {"data": {...}}
+```
+
+## Common Patterns
+
+### List Active Workflows
+```bash
+python3 scripts/n8n_api.py list-workflows --active true --pretty
+```
+
+### Get Workflow Details
+```bash
+python3 scripts/n8n_api.py get-workflow --id <workflow-id> --pretty
+```
+
+### Activate/Deactivate Workflow
+```bash
+python3 scripts/n8n_api.py activate --id <workflow-id>
+python3 scripts/n8n_api.py deactivate --id <workflow-id>
+```
+
+### List Recent Executions
+```bash
+python3 scripts/n8n_api.py list-executions --limit 10 --pretty
+```
+
+### Manually Execute Workflow
+```bash
+python3 scripts/n8n_api.py execute --id <workflow-id>
+```
+
+With data:
+```bash
+python3 scripts/n8n_api.py execute --id <workflow-id> --data '{"key": "value"}'
+```
+
+## Error Handling
+
+HTTP status codes:
+- `200` - Success
+- `400` - Bad request
+- `401` - Unauthorized (invalid API key)
+- `404` - Not found
+- `500` - Server error
+
+## Environment Variables
+
+Required:
+- `N8N_API_KEY` - n8n API key
+- `N8N_BASE_URL` - Base URL 
\ No newline at end of file
diff --git a/scripts/n8n_api.py b/scripts/n8n_api.py
new file mode 100644
index 0000000..2fce8df
--- /dev/null
+++ b/scripts/n8n_api.py
@@ -0,0 +1,355 @@
+#!/usr/bin/env python3
+"""
+n8n API client for Clawdbot
+Manages workflows, executions, and credentials via n8n REST API
+"""
+
+import os
+import sys
+import json
+import argparse
+import requests
+from pathlib import Path
+from typing import Optional, Dict, Any, List
+
+
+class N8nClient:
+    """n8n API client"""
+    
+    def __init__(self, base_url: str = None, api_key: str = None):
+        self.base_url = base_url or os.getenv('N8N_BASE_URL')
+        self.api_key = api_key or os.getenv('N8N_API_KEY')
+        
+        if not self.api_key:
+            raise ValueError("N8N_API_KEY not found in environment")
+        
+        self.session = requests.Session()
+        self.session.headers.update({
+            'X-N8N-API-KEY': self.api_key,
+            'Accept': 'application/json',
+            'Content-Type': 'application/json'
+        })
+    
+    def _request(self, method: str, endpoint: str, **kwargs) -> Dict[str, Any]:
+        """Make API request"""
+        url = f"{self.base_url}/api/v1/{endpoint.lstrip('/')}"
+        response = self.session.request(method, url, **kwargs)
+        
+        try:
+            response.raise_for_status()
+            return response.json() if response.content else {}
+        except requests.exceptions.HTTPError as e:
+            error_msg = f"HTTP {response.status_code}: {response.text}"
+            raise Exception(error_msg) from e
+    
+    # Workflows
+    def list_workflows(self, active: bool = None) -> List[Dict]:
+        """List all workflows"""
+        params = {}
+        if active is not None:
+            params['active'] = str(active).lower()
+        return self._request('GET', 'workflows', params=params)
+    
+    def get_workflow(self, workflow_id: str) -> Dict:
+        """Get workflow details"""
+        return self._request('GET', f'workflows/{workflow_id}')
+    
+    def create_workflow(self, workflow_data: Dict) -> Dict:
+        """Create new workflow"""
+        # Remove read-only fields that n8n API doesn't accept on create
+        clean_data = workflow_data.copy()
+        clean_data.pop('active', None)
+        clean_data.pop('id', None)
+        return self._request('POST', 'workflows', json=clean_data)
+    
+    def update_workflow(self, workflow_id: str, workflow_data: Dict) -> Dict:
+        """Update existing workflow"""
+        return self._request('PATCH', f'workflows/{workflow_id}', json=workflow_data)
+    
+    def delete_workflow(self, workflow_id: str) -> Dict:
+        """Delete workflow"""
+        return self._request('DELETE', f'workflows/{workflow_id}')
+    
+    def activate_workflow(self, workflow_id: str) -> Dict:
+        """Activate workflow"""
+        return self._request('PATCH', f'workflows/{workflow_id}', json={'active': True})
+    
+    def deactivate_workflow(self, workflow_id: str) -> Dict:
+        """Deactivate workflow"""
+        return self._request('PATCH', f'workflows/{workflow_id}', json={'active': False})
+    
+    # Executions
+    def list_executions(self, workflow_id: str = None, limit: int = 20) -> List[Dict]:
+        """List workflow executions"""
+        params = {'limit': limit}
+        if workflow_id:
+            params['workflowId'] = workflow_id
+        return self._request('GET', 'executions', params=params)
+    
+    def get_execution(self, execution_id: str) -> Dict:
+        """Get execution details"""
+        return self._request('GET', f'executions/{execution_id}')
+    
+    def delete_execution(self, execution_id: str) -> Dict:
+        """Delete execution"""
+        return self._request('DELETE', f'executions/{execution_id}')
+    
+    # Manual execution
+    def execute_workflow(self, workflow_id: str, data: Dict = None) -> Dict:
+        """Manually trigger workflow execution"""
+        payload = {'workflowId': workflow_id}
+        if data:
+            payload['data'] = data
+        return self._request('POST', f'workflows/{workflow_id}/execute', json=payload)
+    
+    # Testing & Validation
+    def validate_workflow(self, workflow_data: Dict) -> Dict:
+        """Validate workflow structure and configuration"""
+        issues = {
+            'errors': [],
+            'warnings': [],
+            'valid': True
+        }
+        
+        # Check required fields
+        if 'nodes' not in workflow_data:
+            issues['errors'].append("Missing 'nodes' field")
+            issues['valid'] = False
+            return issues
+        
+        nodes = workflow_data.get('nodes', [])
+        connections = workflow_data.get('connections', {})
+        
+        # Validate nodes
+        node_names = set()
+        for node in nodes:
+            if 'name' not in node:
+                issues['errors'].append("Node missing 'name' field")
+                issues['valid'] = False
+            else:
+                node_names.add(node['name'])
+            
+            if 'type' not in node:
+                issues['errors'].append(f"Node '{node.get('name', 'unknown')}' missing 'type' field")
+                issues['valid'] = False
+            
+            # Check for required credentials
+            if node.get('type', '').startswith('n8n-nodes-base'):
+                credentials = node.get('credentials', {})
+                if not credentials and node['type'] not in ['n8n-nodes-base.start', 'n8n-nodes-base.set']:
+                    issues['warnings'].append(f"Node '{node['name']}' may require credentials")
+        
+        # Validate connections
+        for source_node, targets in connections.items():
+            if source_node not in node_names:
+                issues['errors'].append(f"Connection references non-existent source node: {source_node}")
+                issues['valid'] = False
+            
+            for output_type, output_connections in targets.items():
+                for conn_list in output_connections:
+                    for conn in conn_list:
+                        target_node = conn.get('node')
+                        if target_node and target_node not in node_names:
+                            issues['errors'].append(f"Connection references non-existent target node: {target_node}")
+                            issues['valid'] = False
+        
+        # Check for disconnected nodes
+        connected_nodes = set(connections.keys())
+        for targets in connections.values():
+            for output_connections in targets.values():
+                for conn_list in output_connections:
+                    for conn in conn_list:
+                        connected_nodes.add(conn.get('node'))
+        
+        disconnected = node_names - connected_nodes
+        if disconnected and len(nodes) > 1:
+            for node in disconnected:
+                issues['warnings'].append(f"Node '{node}' appears to be disconnected")
+        
+        return issues
+    
+    def dry_run_workflow(self, workflow_id: str, test_data: Dict = None) -> Dict:
+        """Test workflow execution with mock data (creates temp execution)"""
+        # Execute workflow with test data and return results
+        result = self.execute_workflow(workflow_id, data=test_data)
+        return {
+            'execution_id': result.get('data', {}).get('executionId'),
+            'status': 'initiated',
+            'test_data': test_data
+        }
+    
+    # Optimization & Analytics
+    def get_workflow_statistics(self, workflow_id: str, days: int = 7) -> Dict:
+        """Get workflow execution statistics"""
+        executions = self.list_executions(workflow_id=workflow_id, limit=100)
+        
+        stats = {
+            'total_executions': len(executions),
+            'successful': 0,
+            'failed': 0,
+            'execution_times': [],
+            'error_patterns': {}
+        }
+        
+        for execution in executions:
+            status = execution.get('finished')
+            if status:
+                stats['successful'] += 1
+            else:
+                stats['failed'] += 1
+                error = execution.get('data', {}).get('resultData', {}).get('error', {}).get('message', 'Unknown error')
+                stats['error_patterns'][error] = stats['error_patterns'].get(error, 0) + 1
+            
+            # Execution time
+            start = execution.get('startedAt')
+            stop = execution.get('stoppedAt')
+            if start and stop:
+                # Calculate duration (simplified)
+                stats['execution_times'].append({'start': start, 'stop': stop})
+        
+        # Calculate success rate
+        if stats['total_executions'] > 0:
+            stats['success_rate'] = (stats['successful'] / stats['total_executions']) * 100
+        else:
+            stats['success_rate'] = 0
+        
+        return stats
+    
+    def analyze_workflow_performance(self, workflow_id: str) -> Dict:
+        """Analyze workflow performance and identify bottlenecks"""
+        workflow = self.get_workflow(workflow_id)
+        executions = self.list_executions(workflow_id=workflow_id, limit=10)
+        
+        analysis = {
+            'node_count': len(workflow.get('nodes', [])),
+            'connection_count': sum(len(conns) for conns in workflow.get('connections', {}).values()),
+            'parallel_opportunities': [],
+            'bottlenecks': [],
+            'optimization_suggestions': []
+        }
+        
+        # Analyze node structure for parallel opportunities
+        nodes = workflow.get('nodes', [])
+        connections = workflow.get('connections', {})
+        
+        # Find nodes that could be parallelized
+        for node in nodes:
+            node_name = node['name']
+            if node_name in connections:
+                outputs = connections[node_name]
+                # If node has multiple outputs, suggest parallel execution
+                total_connections = sum(len(conn_list) for output in outputs.values() for conn_list in output)
+                if total_connections > 1:
+                    analysis['parallel_opportunities'].append({
+                        'node': node_name,
+                        'connection_count': total_connections,
+                        'suggestion': 'Consider using Split In Batches for parallel processing'
+                    })
+        
+        # Analyze execution patterns
+        if executions:
+            analysis['optimization_suggestions'].append({
+                'type': 'monitoring',
+                'suggestion': 'Enable execution data retention for better debugging'
+            })
+        
+        # Check for common anti-patterns
+        for node in nodes:
+            if node.get('type') == 'n8n-nodes-base.httpRequest':
+                analysis['optimization_suggestions'].append({
+                    'type': 'caching',
+                    'node': node['name'],
+                    'suggestion': 'Consider caching HTTP responses for frequently accessed data'
+                })
+        
+        return analysis
+
+
+def main():
+    parser = argparse.ArgumentParser(description='n8n API Client')
+    parser.add_argument('action', choices=[
+        'list-workflows', 'get-workflow', 'create', 'activate', 'deactivate',
+        'list-executions', 'get-execution', 'execute', 'validate', 'stats'
+    ])
+    parser.add_argument('--id', help='Workflow or execution ID')
+    parser.add_argument('--active', type=lambda x: x.lower() == 'true', help='Filter by active status')
+    parser.add_argument('--limit', type=int, default=20, help='Limit results')
+    parser.add_argument('--data', help='JSON data for execution')
+    parser.add_argument('--from-file', help='Create workflow from JSON file')
+    parser.add_argument('--from-template', help='Create workflow from template name')
+    parser.add_argument('--days', type=int, default=7, help='Days for statistics')
+    parser.add_argument('--pretty', action='store_true', help='Pretty print JSON output')
+    
+    args = parser.parse_args()
+    
+    try:
+        client = N8nClient()
+        result = None
+        
+        if args.action == 'list-workflows':
+            result = client.list_workflows(active=args.active)
+        elif args.action == 'get-workflow':
+            if not args.id:
+                raise ValueError("--id required for get-workflow")
+            result = client.get_workflow(args.id)
+        elif args.action == 'create':
+            if args.from_file:
+                with open(args.from_file, 'r') as f:
+                    workflow_data = json.load(f)
+                result = client.create_workflow(workflow_data)
+            elif args.from_template:
+                # Load template
+                template_path = Path(__file__).parent.parent / 'templates' / f'{args.from_template}.json'
+                if not template_path.exists():
+                    raise ValueError(f"Template not found: {args.from_template}")
+                with open(template_path, 'r') as f:
+                    workflow_data = json.load(f)
+                result = client.create_workflow(workflow_data)
+            else:
+                raise ValueError("--from-file or --from-template required for create")
+        elif args.action == 'activate':
+            if not args.id:
+                raise ValueError("--id required for activate")
+            result = client.activate_workflow(args.id)
+        elif args.action == 'deactivate':
+            if not args.id:
+                raise ValueError("--id required for deactivate")
+            result = client.deactivate_workflow(args.id)
+        elif args.action == 'list-executions':
+            result = client.list_executions(workflow_id=args.id, limit=args.limit)
+        elif args.action == 'get-execution':
+            if not args.id:
+                raise ValueError("--id required for get-execution")
+            result = client.get_execution(args.id)
+        elif args.action == 'execute':
+            if not args.id:
+                raise ValueError("--id required for execute")
+            data = json.loads(args.data) if args.data else None
+            result = client.execute_workflow(args.id, data=data)
+        elif args.action == 'validate':
+            if args.from_file:
+                with open(args.from_file, 'r') as f:
+                    workflow_data = json.load(f)
+            elif args.id:
+                workflow_data = client.get_workflow(args.id)
+            else:
+                raise ValueError("--id or --from-file required for validate")
+            result = client.validate_workflow(workflow_data)
+        elif args.action == 'stats':
+            if not args.id:
+                raise ValueError("--id required for stats")
+            result = client.get_workflow_statistics(args.id, days=args.days)
+        
+        # Output
+        if args.pretty:
+            print(json.dumps(result, indent=2))
+        else:
+            print(json.dumps(result))
+            
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/n8n_optimizer.py b/scripts/n8n_optimizer.py
new file mode 100644
index 0000000..509387c
--- /dev/null
+++ b/scripts/n8n_optimizer.py
@@ -0,0 +1,479 @@
+#!/usr/bin/env python3
+"""
+n8n Workflow Optimizer
+Analyze and optimize workflow performance
+"""
+
+import sys
+import json
+import argparse
+from datetime import datetime, timedelta
+from typing import Dict, List, Any
+from collections import defaultdict
+
+# Import N8nClient - handle both direct and module imports
+try:
+    from n8n_api import N8nClient
+except ImportError:
+    from scripts.n8n_api import N8nClient
+
+
+class WorkflowOptimizer:
+    """Workflow performance analyzer and optimizer"""
+    
+    def __init__(self, client: N8nClient = None):
+        self.client = client or N8nClient()
+    
+    def analyze_performance(self, workflow_id: str, days: int = 7) -> Dict:
+        """Comprehensive performance analysis"""
+        workflow = self.client.get_workflow(workflow_id)
+        statistics = self.client.get_workflow_statistics(workflow_id, days=days)
+        
+        analysis = {
+            'workflow_id': workflow_id,
+            'workflow_name': workflow.get('name'),
+            'analysis_period_days': days,
+            'execution_metrics': self._analyze_execution_metrics(statistics),
+            'node_analysis': self._analyze_nodes(workflow),
+            'connection_analysis': self._analyze_connections(workflow),
+            'performance_score': 0,
+            'bottlenecks': [],
+            'optimization_opportunities': []
+        }
+        
+        # Identify bottlenecks
+        analysis['bottlenecks'] = self._identify_bottlenecks(workflow, statistics)
+        
+        # Find optimization opportunities
+        analysis['optimization_opportunities'] = self._find_optimizations(workflow, statistics)
+        
+        # Calculate performance score (0-100)
+        analysis['performance_score'] = self._calculate_performance_score(analysis)
+        
+        return analysis
+    
+    def _analyze_execution_metrics(self, statistics: Dict) -> Dict:
+        """Analyze execution metrics"""
+        metrics = {
+            'total_executions': statistics.get('total_executions', 0),
+            'successful_executions': statistics.get('successful', 0),
+            'failed_executions': statistics.get('failed', 0),
+            'success_rate': statistics.get('success_rate', 0),
+            'failure_rate': 0
+        }
+        
+        if metrics['total_executions'] > 0:
+            metrics['failure_rate'] = (metrics['failed_executions'] / metrics['total_executions']) * 100
+        
+        # Categorize health
+        if metrics['success_rate'] >= 95:
+            metrics['health'] = 'excellent'
+        elif metrics['success_rate'] >= 80:
+            metrics['health'] = 'good'
+        elif metrics['success_rate'] >= 60:
+            metrics['health'] = 'fair'
+        else:
+            metrics['health'] = 'poor'
+        
+        return metrics
+    
+    def _analyze_nodes(self, workflow: Dict) -> Dict:
+        """Analyze workflow nodes"""
+        nodes = workflow.get('nodes', [])
+        
+        analysis = {
+            'total_nodes': len(nodes),
+            'node_types': defaultdict(int),
+            'complexity_score': 0,
+            'expensive_nodes': []
+        }
+        
+        # Count node types
+        for node in nodes:
+            node_type = node.get('type', '').split('.')[-1]
+            analysis['node_types'][node_type] += 1
+        
+        # Identify potentially expensive operations
+        expensive_types = [
+            'httpRequest',
+            'postgres',
+            'mysql',
+            'mongodb',
+            'googleSheets',
+            'airtable',
+            'webhook'
+        ]
+        
+        for node in nodes:
+            node_type = node.get('type', '')
+            for exp_type in expensive_types:
+                if exp_type in node_type:
+                    analysis['expensive_nodes'].append({
+                        'name': node.get('name'),
+                        'type': node_type,
+                        'reason': self._get_expense_reason(exp_type)
+                    })
+        
+        # Calculate complexity score
+        analysis['complexity_score'] = self._calculate_complexity(workflow)
+        
+        return analysis
+    
+    def _get_expense_reason(self, node_type: str) -> str:
+        """Get reason why node type is expensive"""
+        reasons = {
+            'httpRequest': 'External API calls can be slow and rate-limited',
+            'postgres': 'Database queries can be slow with large datasets',
+            'mysql': 'Database queries can be slow with large datasets',
+            'mongodb': 'Database queries can be slow with large datasets',
+            'googleSheets': 'Google Sheets API has rate limits and can be slow',
+            'airtable': 'Airtable API has rate limits',
+            'webhook': 'Waiting for webhook responses can cause delays'
+        }
+        return reasons.get(node_type, 'Potentially expensive operation')
+    
+    def _analyze_connections(self, workflow: Dict) -> Dict:
+        """Analyze workflow connections"""
+        connections = workflow.get('connections', {})
+        
+        analysis = {
+            'total_connections': 0,
+            'parallel_paths': 0,
+            'sequential_paths': 0,
+            'max_path_length': 0
+        }
+        
+        # Count connections
+        for source, targets in connections.items():
+            for output_type, output_conns in targets.items():
+                for conn_list in output_conns:
+                    analysis['total_connections'] += len(conn_list)
+                    
+                    # Check for parallel paths
+                    if len(conn_list) > 1:
+                        analysis['parallel_paths'] += 1
+        
+        return analysis
+    
+    def _calculate_complexity(self, workflow: Dict) -> int:
+        """Calculate workflow complexity score (0-100)"""
+        nodes = workflow.get('nodes', [])
+        connections = workflow.get('connections', {})
+        
+        # Base complexity from node count
+        complexity = min(len(nodes) * 5, 50)
+        
+        # Add complexity for connections
+        total_connections = sum(
+            len(conn)
+            for targets in connections.values()
+            for output_conns in targets.values()
+            for conn in output_conns
+        )
+        complexity += min(total_connections * 3, 30)
+        
+        # Add complexity for conditional logic
+        for node in nodes:
+            if node.get('type') == 'n8n-nodes-base.if':
+                complexity += 5
+            elif node.get('type') == 'n8n-nodes-base.switch':
+                complexity += 10
+        
+        return min(complexity, 100)
+    
+    def _identify_bottlenecks(self, workflow: Dict, statistics: Dict) -> List[Dict]:
+        """Identify performance bottlenecks"""
+        bottlenecks = []
+        nodes = workflow.get('nodes', [])
+        
+        # Check for sequential expensive operations
+        expensive_types = ['httpRequest', 'postgres', 'mysql', 'mongodb']
+        expensive_nodes = [
+            node for node in nodes
+            if any(exp in node.get('type', '') for exp in expensive_types)
+        ]
+        
+        if len(expensive_nodes) > 3:
+            bottlenecks.append({
+                'type': 'sequential_expensive_operations',
+                'severity': 'high',
+                'description': f'Workflow has {len(expensive_nodes)} potentially expensive operations running sequentially',
+                'affected_nodes': [node['name'] for node in expensive_nodes],
+                'impact': 'High execution time'
+            })
+        
+        # Check for high failure rate
+        if statistics.get('failed', 0) > statistics.get('successful', 0):
+            bottlenecks.append({
+                'type': 'high_failure_rate',
+                'severity': 'critical',
+                'description': 'Workflow has more failures than successes',
+                'impact': 'Unreliable execution'
+            })
+        
+        # Check for missing error handling
+        has_error_handling = any(
+            node.get('type') in ['n8n-nodes-base.errorTrigger', 'n8n-nodes-base.if']
+            for node in nodes
+        )
+        
+        if not has_error_handling and len(nodes) > 3:
+            bottlenecks.append({
+                'type': 'missing_error_handling',
+                'severity': 'medium',
+                'description': 'Workflow lacks error handling nodes',
+                'impact': 'Failures may not be handled gracefully'
+            })
+        
+        return bottlenecks
+    
+    def _find_optimizations(self, workflow: Dict, statistics: Dict) -> List[Dict]:
+        """Find optimization opportunities"""
+        optimizations = []
+        nodes = workflow.get('nodes', [])
+        connections = workflow.get('connections', {})
+        
+        # Opportunity 1: Parallel execution
+        for source_node, targets in connections.items():
+            for output_conns in targets.values():
+                for conn_list in output_conns:
+                    if len(conn_list) > 1:
+                        optimizations.append({
+                            'type': 'parallel_execution',
+                            'priority': 'high',
+                            'description': f'Node "{source_node}" branches to multiple nodes - already optimized for parallel execution',
+                            'node': source_node,
+                            'benefit': 'Reduced execution time through parallelization'
+                        })
+        
+        # Opportunity 2: Caching
+        http_nodes = [node for node in nodes if 'httpRequest' in node.get('type', '')]
+        if http_nodes:
+            optimizations.append({
+                'type': 'caching',
+                'priority': 'medium',
+                'description': f'Found {len(http_nodes)} HTTP request nodes - consider caching responses',
+                'affected_nodes': [node['name'] for node in http_nodes],
+                'benefit': 'Reduced API calls and faster execution',
+                'implementation': 'Use Function or Code nodes to implement simple caching'
+            })
+        
+        # Opportunity 3: Batch processing
+        loop_nodes = [node for node in nodes if 'loop' in node.get('type', '').lower()]
+        if not loop_nodes:
+            optimizations.append({
+                'type': 'batch_processing',
+                'priority': 'low',
+                'description': 'Consider using "Split In Batches" node for processing large datasets',
+                'benefit': 'Better memory management and parallel processing',
+                'implementation': 'Add "Split In Batches" node before expensive operations'
+            })
+        
+        # Opportunity 4: Error handling
+        error_nodes = [node for node in nodes if 'error' in node.get('type', '').lower()]
+        if not error_nodes and len(nodes) > 3:
+            optimizations.append({
+                'type': 'error_handling',
+                'priority': 'high',
+                'description': 'Add error handling to improve reliability',
+                'benefit': 'Graceful error recovery and better debugging',
+                'implementation': 'Add "Error Trigger" or "IF" nodes to handle failures'
+            })
+        
+        # Opportunity 5: Reduce complexity
+        complexity = self._calculate_complexity(workflow)
+        if complexity > 70:
+            optimizations.append({
+                'type': 'reduce_complexity',
+                'priority': 'medium',
+                'description': f'Workflow complexity score is {complexity}/100 - consider splitting into sub-workflows',
+                'benefit': 'Easier maintenance and debugging',
+                'implementation': 'Break workflow into smaller, reusable workflows'
+            })
+        
+        # Opportunity 6: Execution settings
+        workflow_settings = workflow.get('settings', {})
+        if not workflow_settings.get('executionTimeout'):
+            optimizations.append({
+                'type': 'execution_timeout',
+                'priority': 'low',
+                'description': 'Set execution timeout to prevent hanging workflows',
+                'benefit': 'Prevent resource waste from stuck executions',
+                'implementation': 'Add timeout in workflow settings'
+            })
+        
+        return optimizations
+    
+    def _calculate_performance_score(self, analysis: Dict) -> int:
+        """Calculate overall performance score (0-100)"""
+        score = 100
+        
+        # Deduct for execution failures
+        metrics = analysis.get('execution_metrics', {})
+        success_rate = metrics.get('success_rate', 100)
+        score -= (100 - success_rate) * 0.5
+        
+        # Deduct for complexity
+        complexity = analysis.get('node_analysis', {}).get('complexity_score', 0)
+        if complexity > 70:
+            score -= (complexity - 70) * 0.3
+        
+        # Deduct for bottlenecks
+        bottlenecks = analysis.get('bottlenecks', [])
+        for bottleneck in bottlenecks:
+            severity = bottleneck.get('severity', 'low')
+            if severity == 'critical':
+                score -= 20
+            elif severity == 'high':
+                score -= 10
+            elif severity == 'medium':
+                score -= 5
+        
+        # Deduct for high-priority optimizations not implemented
+        optimizations = analysis.get('optimization_opportunities', [])
+        high_priority = [opt for opt in optimizations if opt.get('priority') == 'high']
+        score -= len(high_priority) * 5
+        
+        return max(0, min(100, int(score)))
+    
+    def suggest_optimizations(self, workflow_id: str) -> Dict:
+        """Generate optimization suggestions"""
+        analysis = self.analyze_performance(workflow_id)
+        
+        suggestions = {
+            'workflow_id': workflow_id,
+            'performance_score': analysis['performance_score'],
+            'health': analysis['execution_metrics']['health'],
+            'priority_actions': [],
+            'quick_wins': [],
+            'long_term_improvements': []
+        }
+        
+        # Categorize optimizations by effort and impact
+        for opt in analysis['optimization_opportunities']:
+            priority = opt.get('priority', 'low')
+            
+            if priority == 'high':
+                suggestions['priority_actions'].append(opt)
+            elif priority == 'medium':
+                suggestions['quick_wins'].append(opt)
+            else:
+                suggestions['long_term_improvements'].append(opt)
+        
+        # Add bottleneck fixes as priority actions
+        for bottleneck in analysis['bottlenecks']:
+            if bottleneck.get('severity') in ['critical', 'high']:
+                suggestions['priority_actions'].append({
+                    'type': 'fix_bottleneck',
+                    'priority': 'critical',
+                    'description': f"Fix bottleneck: {bottleneck['description']}",
+                    'benefit': f"Resolve: {bottleneck['impact']}"
+                })
+        
+        return suggestions
+    
+    def generate_optimization_report(self, analysis: Dict) -> str:
+        """Generate human-readable optimization report"""
+        report = []
+        report.append("=" * 70)
+        report.append("n8n Workflow Optimization Report")
+        report.append("=" * 70)
+        
+        report.append(f"\nWorkflow: {analysis['workflow_name']}")
+        report.append(f"Analysis Period: {analysis['analysis_period_days']} days")
+        report.append(f"Performance Score: {analysis['performance_score']}/100")
+        
+        # Execution Metrics
+        metrics = analysis['execution_metrics']
+        report.append(f"\n## Execution Metrics")
+        report.append(f"Health Status: {metrics['health'].upper()}")
+        report.append(f"Total Executions: {metrics['total_executions']}")
+        report.append(f"Success Rate: {metrics['success_rate']:.1f}%")
+        report.append(f"Failure Rate: {metrics['failure_rate']:.1f}%")
+        
+        # Node Analysis
+        node_analysis = analysis['node_analysis']
+        report.append(f"\n## Workflow Structure")
+        report.append(f"Total Nodes: {node_analysis['total_nodes']}")
+        report.append(f"Complexity Score: {node_analysis['complexity_score']}/100")
+        
+        if node_analysis['expensive_nodes']:
+            report.append(f"\nExpensive Operations ({len(node_analysis['expensive_nodes'])}):")
+            for node in node_analysis['expensive_nodes'][:5]:
+                report.append(f"  • {node['name']}: {node['reason']}")
+        
+        # Bottlenecks
+        if analysis['bottlenecks']:
+            report.append(f"\n## Bottlenecks ({len(analysis['bottlenecks'])})")
+            for bottleneck in analysis['bottlenecks']:
+                severity = bottleneck['severity'].upper()
+                report.append(f"\n[{severity}] {bottleneck['type']}")
+                report.append(f"  Description: {bottleneck['description']}")
+                report.append(f"  Impact: {bottleneck['impact']}")
+        
+        # Optimization Opportunities
+        optimizations = analysis['optimization_opportunities']
+        if optimizations:
+            report.append(f"\n## Optimization Opportunities ({len(optimizations)})")
+            
+            # Group by priority
+            high_priority = [opt for opt in optimizations if opt.get('priority') == 'high']
+            medium_priority = [opt for opt in optimizations if opt.get('priority') == 'medium']
+            low_priority = [opt for opt in optimizations if opt.get('priority') == 'low']
+            
+            if high_priority:
+                report.append(f"\n### High Priority ({len(high_priority)})")
+                for opt in high_priority:
+                    report.append(f"\n• {opt['type'].replace('_', ' ').title()}")
+                    report.append(f"  {opt['description']}")
+                    report.append(f"  Benefit: {opt['benefit']}")
+                    if 'implementation' in opt:
+                        report.append(f"  How: {opt['implementation']}")
+            
+            if medium_priority:
+                report.append(f"\n### Medium Priority ({len(medium_priority)})")
+                for opt in medium_priority:
+                    report.append(f"\n• {opt['type'].replace('_', ' ').title()}")
+                    report.append(f"  {opt['description']}")
+            
+            if low_priority:
+                report.append(f"\n### Low Priority ({len(low_priority)})")
+                for opt in low_priority:
+                    report.append(f"  • {opt['description']}")
+        
+        report.append("\n" + "=" * 70)
+        
+        return "\n".join(report)
+
+
+def main():
+    parser = argparse.ArgumentParser(description='n8n Workflow Optimizer')
+    parser.add_argument('action', choices=['analyze', 'suggest', 'report'])
+    parser.add_argument('--id', required=True, help='Workflow ID')
+    parser.add_argument('--days', type=int, default=7, help='Analysis period in days')
+    parser.add_argument('--pretty', action='store_true', help='Pretty print JSON output')
+    
+    args = parser.parse_args()
+    
+    try:
+        optimizer = WorkflowOptimizer()
+        
+        if args.action == 'analyze':
+            result = optimizer.analyze_performance(args.id, days=args.days)
+            print(json.dumps(result, indent=2 if args.pretty else None))
+        
+        elif args.action == 'suggest':
+            result = optimizer.suggest_optimizations(args.id)
+            print(json.dumps(result, indent=2 if args.pretty else None))
+        
+        elif args.action == 'report':
+            analysis = optimizer.analyze_performance(args.id, days=args.days)
+            print(optimizer.generate_optimization_report(analysis))
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()
diff --git a/scripts/n8n_tester.py b/scripts/n8n_tester.py
new file mode 100644
index 0000000..c91713d
--- /dev/null
+++ b/scripts/n8n_tester.py
@@ -0,0 +1,416 @@
+#!/usr/bin/env python3
+"""
+n8n Workflow Testing & Validation
+Test workflows before activation with validation and dry-runs
+"""
+
+import sys
+import json
+import argparse
+import time
+from pathlib import Path
+from typing import Dict, List, Any
+
+# Import N8nClient - handle both direct and module imports
+try:
+    from n8n_api import N8nClient
+except ImportError:
+    from scripts.n8n_api import N8nClient
+
+
+class WorkflowTester:
+    """Workflow testing and validation"""
+    
+    def __init__(self, client: N8nClient = None):
+        self.client = client  # Only initialize when needed
+    
+    def validate_workflow(self, workflow_id: str = None, workflow_file: str = None) -> Dict:
+        """Validate workflow structure and configuration"""
+        if workflow_id:
+            if not self.client:
+                self.client = N8nClient()
+            workflow_data = self.client.get_workflow(workflow_id)
+        elif workflow_file:
+            with open(workflow_file, 'r') as f:
+                workflow_data = json.load(f)
+        else:
+            raise ValueError("Either workflow_id or workflow_file required")
+        
+        # Perform validation - use standalone validation for files
+        validation = self._perform_validation(workflow_data)
+        
+        # Additional validation checks
+        self._check_credentials(workflow_data, validation)
+        self._check_node_configurations(workflow_data, validation)
+        self._check_execution_flow(workflow_data, validation)
+        
+        return validation
+    
+    def _perform_validation(self, workflow_data: Dict) -> Dict:
+        """Perform standalone workflow validation"""
+        issues = {
+            'errors': [],
+            'warnings': [],
+            'valid': True
+        }
+        
+        # Check required fields
+        if 'nodes' not in workflow_data:
+            issues['errors'].append("Missing 'nodes' field")
+            issues['valid'] = False
+            return issues
+        
+        nodes = workflow_data.get('nodes', [])
+        connections = workflow_data.get('connections', {})
+        
+        # Validate nodes
+        node_names = set()
+        for node in nodes:
+            if 'name' not in node:
+                issues['errors'].append("Node missing 'name' field")
+                issues['valid'] = False
+            else:
+                node_names.add(node['name'])
+            
+            if 'type' not in node:
+                issues['errors'].append(f"Node '{node.get('name', 'unknown')}' missing 'type' field")
+                issues['valid'] = False
+        
+        # Validate connections
+        for source_node, targets in connections.items():
+            if source_node not in node_names:
+                issues['errors'].append(f"Connection references non-existent source node: {source_node}")
+                issues['valid'] = False
+            
+            for output_type, output_connections in targets.items():
+                for conn_list in output_connections:
+                    for conn in conn_list:
+                        target_node = conn.get('node')
+                        if target_node and target_node not in node_names:
+                            issues['errors'].append(f"Connection references non-existent target node: {target_node}")
+                            issues['valid'] = False
+        
+        # Check for disconnected nodes
+        connected_nodes = set(connections.keys())
+        for targets in connections.values():
+            for output_connections in targets.values():
+                for conn_list in output_connections:
+                    for conn in conn_list:
+                        connected_nodes.add(conn.get('node'))
+        
+        disconnected = node_names - connected_nodes
+        if disconnected and len(nodes) > 1:
+            for node in disconnected:
+                issues['warnings'].append(f"Node '{node}' appears to be disconnected")
+        
+        return issues
+    
+    def _check_credentials(self, workflow_data: Dict, validation: Dict):
+        """Check for missing or invalid credentials"""
+        nodes = workflow_data.get('nodes', [])
+        
+        # Nodes that typically require credentials
+        credential_nodes = [
+            'n8n-nodes-base.httpRequest',
+            'n8n-nodes-base.googleSheets',
+            'n8n-nodes-base.slack',
+            'n8n-nodes-base.twitter',
+            'n8n-nodes-base.stripe',
+            'n8n-nodes-base.postgres',
+            'n8n-nodes-base.mysql',
+            'n8n-nodes-base.emailSend'
+        ]
+        
+        for node in nodes:
+            node_type = node.get('type', '')
+            if node_type in credential_nodes:
+                credentials = node.get('credentials', {})
+                if not credentials:
+                    validation['warnings'].append(
+                        f"Node '{node['name']}' ({node_type}) likely requires credentials"
+                    )
+    
+    def _check_node_configurations(self, workflow_data: Dict, validation: Dict):
+        """Check for invalid node configurations"""
+        nodes = workflow_data.get('nodes', [])
+        
+        for node in nodes:
+            node_type = node.get('type', '')
+            parameters = node.get('parameters', {})
+            
+            # Check HTTP Request nodes
+            if node_type == 'n8n-nodes-base.httpRequest':
+                if not parameters.get('url'):
+                    validation['errors'].append(
+                        f"Node '{node['name']}' missing required URL parameter"
+                    )
+                    validation['valid'] = False
+            
+            # Check webhook nodes
+            elif node_type == 'n8n-nodes-base.webhook':
+                if not parameters.get('path'):
+                    validation['errors'].append(
+                        f"Node '{node['name']}' missing required path parameter"
+                    )
+                    validation['valid'] = False
+            
+            # Check email nodes
+            elif node_type == 'n8n-nodes-base.emailSend':
+                if not parameters.get('subject') and not parameters.get('text'):
+                    validation['warnings'].append(
+                        f"Node '{node['name']}' missing subject or text"
+                    )
+    
+    def _check_execution_flow(self, workflow_data: Dict, validation: Dict):
+        """Check workflow execution flow for issues"""
+        nodes = workflow_data.get('nodes', [])
+        connections = workflow_data.get('connections', {})
+        
+        # Check for trigger nodes
+        trigger_types = [
+            'n8n-nodes-base.webhook',
+            'n8n-nodes-base.scheduleTrigger',
+            'n8n-nodes-base.manualTrigger',
+            'n8n-nodes-base.start'
+        ]
+        
+        has_trigger = any(node.get('type') in trigger_types for node in nodes)
+        if not has_trigger and len(nodes) > 0:
+            validation['warnings'].append(
+                "Workflow has no trigger node. It can only be executed manually."
+            )
+        
+        # Check for end nodes (nodes with no outgoing connections)
+        node_names = {node['name'] for node in nodes}
+        connected_as_source = set(connections.keys())
+        end_nodes = node_names - connected_as_source
+        
+        if not end_nodes and len(nodes) > 1:
+            validation['warnings'].append(
+                "Workflow has no end nodes. This may indicate circular dependencies."
+            )
+    
+    def dry_run(self, workflow_id: str, test_data: Dict = None, test_data_file: str = None) -> Dict:
+        """Execute workflow with test data"""
+        # Load test data if from file
+        if test_data_file:
+            with open(test_data_file, 'r') as f:
+                test_data = json.load(f)
+        
+        print(f"Running workflow {workflow_id} with test data...")
+        
+        # Execute workflow
+        execution_result = self.client.execute_workflow(workflow_id, data=test_data)
+        execution_id = execution_result.get('data', {}).get('executionId')
+        
+        if not execution_id:
+            return {
+                'status': 'failed',
+                'error': 'No execution ID returned',
+                'result': execution_result
+            }
+        
+        print(f"Execution started: {execution_id}")
+        print("Waiting for execution to complete...")
+        
+        # Poll for execution completion
+        max_attempts = 30
+        attempt = 0
+        
+        while attempt < max_attempts:
+            time.sleep(2)
+            attempt += 1
+            
+            try:
+                execution = self.client.get_execution(execution_id)
+                finished = execution.get('finished', False)
+                
+                if finished:
+                    # Execution completed
+                    success = execution.get('data', {}).get('resultData', {}).get('error') is None
+                    
+                    result = {
+                        'status': 'success' if success else 'failed',
+                        'execution_id': execution_id,
+                        'finished': True,
+                        'started_at': execution.get('startedAt'),
+                        'stopped_at': execution.get('stoppedAt'),
+                        'mode': execution.get('mode'),
+                        'data': execution.get('data', {})
+                    }
+                    
+                    if not success:
+                        error_data = execution.get('data', {}).get('resultData', {}).get('error', {})
+                        result['error'] = {
+                            'message': error_data.get('message'),
+                            'description': error_data.get('description')
+                        }
+                    
+                    return result
+            except Exception as e:
+                print(f"Error checking execution status: {e}")
+                continue
+        
+        return {
+            'status': 'timeout',
+            'execution_id': execution_id,
+            'message': 'Execution did not complete within expected time'
+        }
+    
+    def test_suite(self, workflow_id: str, test_cases: List[Dict]) -> Dict:
+        """Run multiple test cases against workflow"""
+        results = {
+            'workflow_id': workflow_id,
+            'total_tests': len(test_cases),
+            'passed': 0,
+            'failed': 0,
+            'test_results': []
+        }
+        
+        for i, test_case in enumerate(test_cases, 1):
+            print(f"\nRunning test case {i}/{len(test_cases)}: {test_case.get('name', 'Unnamed')}")
+            
+            test_data = test_case.get('input', {})
+            expected_output = test_case.get('expected', {})
+            
+            # Run test
+            result = self.dry_run(workflow_id, test_data=test_data)
+            
+            # Check result
+            passed = result.get('status') == 'success'
+            
+            test_result = {
+                'test_name': test_case.get('name'),
+                'passed': passed,
+                'input': test_data,
+                'output': result,
+                'expected': expected_output
+            }
+            
+            results['test_results'].append(test_result)
+            
+            if passed:
+                results['passed'] += 1
+                print(f"✓ Test passed")
+            else:
+                results['failed'] += 1
+                print(f"✗ Test failed: {result.get('error', 'Unknown error')}")
+        
+        return results
+    
+    def generate_test_report(self, validation: Dict, dry_run: Dict = None) -> str:
+        """Generate human-readable test report"""
+        report = []
+        report.append("=" * 60)
+        report.append("n8n Workflow Test Report")
+        report.append("=" * 60)
+        
+        # Validation results
+        report.append("\n## Validation Results")
+        report.append(f"Status: {'✓ VALID' if validation['valid'] else '✗ INVALID'}")
+        
+        if validation['errors']:
+            report.append(f"\nErrors ({len(validation['errors'])}):")
+            for error in validation['errors']:
+                report.append(f"  ✗ {error}")
+        
+        if validation['warnings']:
+            report.append(f"\nWarnings ({len(validation['warnings'])}):")
+            for warning in validation['warnings']:
+                report.append(f"  ⚠ {warning}")
+        
+        if not validation['errors'] and not validation['warnings']:
+            report.append("\n✓ No issues found")
+        
+        # Dry run results
+        if dry_run:
+            report.append("\n## Dry Run Results")
+            report.append(f"Status: {dry_run.get('status', 'unknown').upper()}")
+            report.append(f"Execution ID: {dry_run.get('execution_id', 'N/A')}")
+            
+            if dry_run.get('started_at'):
+                report.append(f"Started: {dry_run['started_at']}")
+            if dry_run.get('stopped_at'):
+                report.append(f"Stopped: {dry_run['stopped_at']}")
+            
+            if dry_run.get('error'):
+                report.append(f"\nError: {dry_run['error'].get('message', 'Unknown error')}")
+                if dry_run['error'].get('description'):
+                    report.append(f"Description: {dry_run['error']['description']}")
+        
+        report.append("\n" + "=" * 60)
+        
+        return "\n".join(report)
+
+
+def main():
+    parser = argparse.ArgumentParser(description='n8n Workflow Testing & Validation')
+    parser.add_argument('action', choices=['validate', 'dry-run', 'test-suite', 'report'])
+    parser.add_argument('--id', help='Workflow ID')
+    parser.add_argument('--file', help='Workflow JSON file')
+    parser.add_argument('--data', help='Test data JSON string')
+    parser.add_argument('--data-file', help='Test data JSON file')
+    parser.add_argument('--test-suite', help='Test suite JSON file')
+    parser.add_argument('--pretty', action='store_true', help='Pretty print output')
+    parser.add_argument('--report', action='store_true', help='Generate human-readable report')
+    
+    args = parser.parse_args()
+    
+    try:
+        tester = WorkflowTester()
+        result = None
+        
+        if args.action == 'validate':
+            result = tester.validate_workflow(workflow_id=args.id, workflow_file=args.file)
+            
+            if args.report:
+                print(tester.generate_test_report(result))
+            else:
+                print(json.dumps(result, indent=2 if args.pretty else None))
+        
+        elif args.action == 'dry-run':
+            if not args.id:
+                raise ValueError("--id required for dry-run")
+            
+            test_data = None
+            if args.data:
+                test_data = json.loads(args.data)
+            
+            result = tester.dry_run(
+                workflow_id=args.id,
+                test_data=test_data,
+                test_data_file=args.data_file
+            )
+            
+            if args.report:
+                validation = tester.validate_workflow(workflow_id=args.id)
+                print(tester.generate_test_report(validation, result))
+            else:
+                print(json.dumps(result, indent=2 if args.pretty else None))
+        
+        elif args.action == 'test-suite':
+            if not args.id:
+                raise ValueError("--id required for test-suite")
+            if not args.test_suite:
+                raise ValueError("--test-suite required for test-suite")
+            
+            with open(args.test_suite, 'r') as f:
+                test_cases = json.load(f)
+            
+            result = tester.test_suite(args.id, test_cases)
+            print(json.dumps(result, indent=2 if args.pretty else None))
+        
+        elif args.action == 'report':
+            if not args.id:
+                raise ValueError("--id required for report")
+            
+            validation = tester.validate_workflow(workflow_id=args.id)
+            print(tester.generate_test_report(validation))
+        
+    except Exception as e:
+        print(f"Error: {e}", file=sys.stderr)
+        sys.exit(1)
+
+
+if __name__ == '__main__':
+    main()