skill-standardization

name	skill-standardization
description	Standardize and validate SKILL.md files to match the project specification. Use when creating new skills, converting existing skills to standard format, or validating skill file structure. Handles section heading conversion, frontmatter standardization, and missing section detection.
allowed-tools	Bash Read Write Edit Glob Grep
metadata	{"tags":"skill-management, standardization, validation, automation, scripting","platforms":"Claude, ChatGPT, Gemini"}

Skill Standardization

When to use this skill

• Creating new SKILL.md files following the standard template
• Converting existing skills with non-standard section headings
• Validating skill files against the project specification
• Batch processing multiple skill files for consistency
• Ensuring all skills have required sections (Examples, Best practices, References)

Instructions

Step 1: Run the conversion script

Execute the main conversion script to standardize all SKILL.md files:

cd /path/to/.agent-skills
python3 scripts/convert_skills.py

This script will:

• Convert Korean section headings to English
• Standardize frontmatter (add missing tags, platforms)
• Add missing required sections with templates

Step 2: Remove duplicate sections

If files have duplicate sections after conversion:

python3 scripts/remove_duplicates.py

Step 3: Final cleanup

For any remaining non-standard headings:

python3 scripts/final_cleanup.py

Available Scripts

Script	Purpose
convert_skills.py	Main conversion script - handles section headings, frontmatter, missing sections
remove_duplicates.py	Removes duplicate Examples, Best practices, References sections
final_cleanup.py	Direct string replacement for remaining Korean headings

Section Heading Conversions

Legacy heading	Standard heading
## Purpose (legacy)	## Purpose
## When to Use (legacy)	## When to use this skill
## Procedure (legacy)	## Instructions
## Examples (legacy)	## Examples
## Best Practices (legacy)	## Best practices
## References (legacy)	## References
## Output Format (legacy)	## Output format
## Constraints (legacy)	## Constraints
## Metadata (legacy)	## Metadata
### Step N (legacy):	### Step N:

Standard SKILL.md Structure

---
name: skill-name
description: Clear description (max 1024 chars)
tags: [tag1, tag2]
platforms: [Claude, ChatGPT, Gemini]
---

# Skill Title

## When to use this skill
- Scenario 1
- Scenario 2

## Instructions

### Step 1: [Action]
Content...

### Step 2: [Action]
Content...

## Examples

### Example 1: [Scenario]
Content...

## Best practices
1. Practice 1
2. Practice 2

## References
- [Link](url)

Examples

Example 1: Convert a single file manually

from pathlib import Path
import re

filepath = Path('backend/new-skill/SKILL.md')
content = filepath.read_text()

# Normalize legacy headings to standard
content = content.replace('## Best Practices', '## Best practices')
content = content.replace('## Reference', '## References')
content = re.sub(r'### Step (\d+):', r'### Step \1:', content)

filepath.write_text(content)

Example 2: Validate a skill file

# Check for required sections
grep -E "^## (When to use|Instructions|Examples|Best practices|References)" SKILL.md

Best practices

1. Run all three scripts in sequence for complete standardization
2. Review changes before committing to ensure content wasn't lost
3. Keep section content - only headings are converted, not content
4. Test with one file first when making script modifications

References

• README.md - Repository overview and SKILL.md conventions
• .agent-skills/README.md - Skill repository structure and examples