yaml-workflow-executor
Execute configuration-driven analysis workflows from YAML files. Use for running analysis pipelines, data processing tasks, and automation workflows defined in YAML configuration.
Best use case
yaml-workflow-executor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Execute configuration-driven analysis workflows from YAML files. Use for running analysis pipelines, data processing tasks, and automation workflows defined in YAML configuration.
Teams using yaml-workflow-executor should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/yaml-workflow-executor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yaml-workflow-executor Compares
| Feature / Agent | yaml-workflow-executor | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Execute configuration-driven analysis workflows from YAML files. Use for running analysis pipelines, data processing tasks, and automation workflows defined in YAML configuration.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Yaml Workflow Executor
## Quick Start
```yaml
# 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
```
```python
from workflow_executor import execute_workflow
# Execute workflow
result = execute_workflow("config/workflows/analysis.yaml")
print(f"Status: {result['status']}")
```
```bash
# 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-pipeline-processor/SKILL.md) - Data transformation
- [engineering-report-generator](../engineering-report-generator/SKILL.md) - Report generation
- [parallel-file-processor](../parallel-file-processor/SKILL.md) - 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)](example-1-run-analysis/SKILL.md)
- [Do (+4)](do/SKILL.md)
## Sub-Skills
- [Error Handling](error-handling/SKILL.md)
- [Execution Checklist](execution-checklist/SKILL.md)
- [Metrics](metrics/SKILL.md)
## Sub-Skills
- [Core Pattern](core-pattern/SKILL.md)
- [Configuration Loader (+3)](configuration-loader/SKILL.md)
- [Basic Structure (+3)](basic-structure/SKILL.md)
- [Command-Line Interface (+1)](command-line-interface/SKILL.md)Related Skills
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