Yaml Workflow Executor

Quick Start

# config/workflows/analysis.yaml
task: analyze_data

input:
  data_path: data/raw/measurements.csv

output:
  results_path: data/results/analysis.json

parameters:
  filter_column: status
  filter_value: active

from workflow_executor import execute_workflow

# Execute workflow
result = execute_workflow("config/workflows/analysis.yaml")
print(f"Status: {result['status']}")

# CLI execution
python -m workflow_executor config/workflows/analysis.yaml --verbose

When to Use

• Running analysis defined in YAML configuration files
• Executing data processing pipelines from config
• Automating repetitive tasks with parameterized configs
• Building reproducible workflows
• Processing multiple scenarios from config variations

Related Skills

• data-pipeline-processor - Data transformation
• engineering-report-generator - Report generation
• parallel-file-processor - Batch file processing

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Version History

• 1.1.0 (2026-01-02): Upgraded to SKILL_TEMPLATE_v2 format with Quick Start, Error Handling, Metrics, Execution Checklist, additional examples
• 1.0.0 (2024-10-15): Initial release with WorkflowConfig, WorkflowRouter, CLI integration

Sub-Skills

• Example 1: Run Analysis (+3)
• Do (+4)

Sub-Skills

• Error Handling
• Execution Checklist
• Metrics

Sub-Skills

• Core Pattern
• Configuration Loader (+3)
• Basic Structure (+3)
• Command-Line Interface (+1)