yaml-workflow-executor-basic-structure
Sub-skill of yaml-workflow-executor: Basic Structure (+3).
Best use case
yaml-workflow-executor-basic-structure is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of yaml-workflow-executor: Basic Structure (+3).
Teams using yaml-workflow-executor-basic-structure 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/basic-structure/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yaml-workflow-executor-basic-structure Compares
| Feature / Agent | yaml-workflow-executor-basic-structure | 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: Basic Structure (+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
# Basic Structure (+3)
## Basic Structure
```yaml
# config/workflows/analysis.yaml
task: analyze_data
input:
data_path: data/raw/measurements.csv
schema_path: config/schemas/measurements.json # optional
output:
*See sub-skills for full details.*
## Data Transformation Config
```yaml
task: transform_data
input:
data_path: data/raw/source.csv
output:
data_path: data/processed/transformed.csv
parameters:
*See sub-skills for full details.*
## Report Generation Config
```yaml
task: generate_report
input:
data_path: data/processed/results.csv
output:
report_path: reports/monthly_analysis.html
parameters:
*See sub-skills for full details.*
## Multi-Step Workflow
```yaml
task: pipeline
steps:
- name: extract
task: transform_data
input:
data_path: data/raw/source.csv
output:
data_path: data/staging/extracted.csv
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