yaml-workflow-executor

name	yaml-workflow-executor
description	Execute configuration-driven analysis workflows from YAML files. Use for running analysis pipelines, data processing tasks, and automation workflows defined in YAML configuration.
type	reference
version	1.1.0
category	development
related_skills	["data-pipeline-processor","engineering-report-generator","parallel-file-processor"]
capabilities	[]
requires	[]
tags	[]

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

---

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)