skill-create

Skill Create Command

Analyze git history to generate OpenAI Codex skills: $ARGUMENTS

Your Task

1. Analyze commits - Pattern recognition from history
2. Extract patterns - Common practices and conventions
3. Generate SKILL.md - Structured skill documentation
4. Create instincts - For continuous-learning-v2

Analysis Process

Step 1: Gather Commit Data

# Recent commits
git log --oneline -100

# Commits by file type
git log --name-only --pretty=format: | sort | uniq -c | sort -rn

# Most changed files
git log --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20

Step 2: Identify Patterns

Commit Message Patterns:

• Common prefixes (feat, fix, refactor)
• Naming conventions
• Co-author patterns

Code Patterns:

• File structure conventions
• Import organization
• Error handling approaches

Review Patterns:

• Common review feedback
• Recurring fix types
• Quality gates

Step 3: Generate SKILL.md

# [Skill Name]

## Overview
[What this skill teaches]

## Patterns

### Pattern 1: [Name]
- When to use
- Implementation
- Example

### Pattern 2: [Name]
- When to use
- Implementation
- Example

## Best Practices

1. [Practice 1]
2. [Practice 2]
3. [Practice 3]

## Common Mistakes

1. [Mistake 1] - How to avoid
2. [Mistake 2] - How to avoid

## Examples

### Good Example
```[language]
// Code example

Anti-pattern

// What not to do

### Step 4: Generate Instincts

For continuous-learning-v2:

```json
{
  "instincts": [
    {
      "trigger": "[situation]",
      "action": "[response]",
      "confidence": 0.8,
      "source": "git-history-analysis"
    }
  ]
}

Output

Creates:

• skills/[name]/SKILL.md - Skill documentation
• skills/[name]/instincts.json - Instinct collection

---

TIP: Run /skill-create --instincts to also generate instincts for continuous learning.