yaml-master
Execute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Best use case
yaml-master is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Execute proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Teams using yaml-master 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-master/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How yaml-master Compares
| Feature / Agent | yaml-master | 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 proactive YAML intelligence: automatically activates when working with YAML files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
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
# YAML Master
Proactive YAML intelligence: validate syntax, enforce consistent formatting, and keep configuration files schema-correct (Kubernetes, GitHub Actions, Docker Compose, and similar).
## Overview
This skill activates when working with `.yml`/`.yaml` files to detect structural issues early (indentation, anchors, type mismatches), and to produce safe, minimal edits that keep CI/config tooling happy.
## Prerequisites
- The YAML file(s) to inspect and their intended target (e.g., Kubernetes, GitHub Actions, Compose)
- Any relevant schema or constraints (when available)
- Permission to edit the file(s) (or to propose a patch)
## Instructions
1. Parse and validate YAML syntax (identify the first breaking error and its location).
2. Normalize formatting (indentation, quoting) without changing semantics.
3. Validate structure against the target system’s expectations (keys, types, required fields).
4. Identify risky patterns (duplicate keys, ambiguous scalars, anchors used incorrectly).
5. Output a minimal patch plus a short validation checklist (what to run next).
## Output
- Corrected YAML with minimal diffs
- A concise list of issues found (syntax vs schema vs best practice)
- Follow-up validation commands appropriate for the target (e.g., `kubectl apply --dry-run=client`, CI lint)
## Error Handling
- If the schema/target is unknown, ask for the target system and apply syntax-only fixes first.
- If the YAML is valid but tooling still fails, surface the exact downstream error and reconcile expectations.
## Examples
**Example: Fix an indentation/syntax error**
- Input: a workflow with a mis-indented `steps:` block.
- Output: corrected indentation and a note on which job/step was affected.
**Example: Convert JSON to YAML safely**
- Input: a JSON config blob.
- Output: YAML with explicit quoting where necessary to avoid type surprises.
## Resources
- Full detailed guide (kept for reference): `${CLAUDE_SKILL_DIR}/references/SKILL.full.md`
- YAML spec: https://yaml.org/spec/
- GitHub Actions workflow syntax: https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actionsRelated Skills
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