yaml-workflow-executor-configuration-loader
Sub-skill of yaml-workflow-executor: Configuration Loader (+3).
Best use case
yaml-workflow-executor-configuration-loader is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of yaml-workflow-executor: Configuration Loader (+3).
Teams using yaml-workflow-executor-configuration-loader 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/configuration-loader/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yaml-workflow-executor-configuration-loader Compares
| Feature / Agent | yaml-workflow-executor-configuration-loader | 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: Configuration Loader (+3).
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
# Configuration Loader (+3)
## Configuration Loader
```python
import yaml
from pathlib import Path
from dataclasses import dataclass, field
from typing import Any, Dict, Optional
import logging
logger = logging.getLogger(__name__)
@dataclass
*See sub-skills for full details.*
## Workflow Router
```python
class WorkflowRouter:
"""Route tasks to appropriate handlers based on configuration."""
def __init__(self):
self.handlers = {}
def register(self, task_name: str, handler_func):
"""Register a handler for a task type."""
self.handlers[task_name] = handler_func
*See sub-skills for full details.*
## Handler Registration Pattern
```python
def register_handlers(router: WorkflowRouter):
"""Register all available task handlers."""
@router.register('analyze_data')
def analyze_data(config: WorkflowConfig):
"""Handler for data analysis tasks."""
import pandas as pd
# Load input
*See sub-skills for full details.*
## Main Executor
```python
def execute_workflow(yaml_path: str, overrides: Dict[str, Any] = None) -> Any:
"""
Execute workflow from YAML configuration.
Args:
yaml_path: Path to YAML config file
overrides: Optional parameter overrides
Returns:
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