yaml-workflow-executor-command-line-interface
Sub-skill of yaml-workflow-executor: Command-Line Interface (+1).
Best use case
yaml-workflow-executor-command-line-interface is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of yaml-workflow-executor: Command-Line Interface (+1).
Teams using yaml-workflow-executor-command-line-interface 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/command-line-interface/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yaml-workflow-executor-command-line-interface Compares
| Feature / Agent | yaml-workflow-executor-command-line-interface | 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?
Sub-skill of yaml-workflow-executor: Command-Line Interface (+1).
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.
SKILL.md Source
# Command-Line Interface (+1)
## Command-Line Interface
```python
import argparse
import sys
def main():
parser = argparse.ArgumentParser(
description='Execute YAML-defined workflows'
)
parser.add_argument(
'config',
*See sub-skills for full details.*
## Bash Wrapper
```bash
#!/bin/bash
# scripts/run_workflow.sh
CONFIG_FILE="${1:?Usage: $0 <config.yaml> [--override key=value]}"
shift
# Activate environment if needed
if [ -f ".venv/bin/activate" ]; then
source .venv/bin/activate
fi
# Run workflow
python -m workflow_executor "$CONFIG_FILE" "$@"
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