/skill-creator - Oracle Skill Factory

Create skills with philosophy baked in.

Usage

/skill-creator [name]           # Interactive creation
/skill-creator [name] --quick   # Fast mode with defaults
/skill-creator list-ideas       # Show skill ideas from Oracle

Step 0: Timestamp

date "+🕐 %H:%M (%A %d %B %Y)"

---

Step 1: Gather Requirements

Ask user (if not provided):

Question	Why
Skill name	Folder name, command name
What does it do?	Core purpose → description
When to trigger?	Use cases → trigger words
Inputs needed?	Arguments the skill takes
Outputs?	What user sees

---

Step 2: Apply Oracle Philosophy

Every skill should embody:

1. Nothing is Deleted

• Log actions to Oracle when meaningful
• Preserve history, don't overwrite
• Use oracle_trace() for searches, oracle_learn() for findings

2. Patterns Over Intentions

• Focus on what the skill DOES, not what it promises
• Measure success by output, not description
• Include verification steps

3. External Brain, Not Command

• Skills assist, don't decide
• Present options, let user choose
• Mirror information, don't hide it

---

Step 3: Generate Files

Folder Structure

bun scripts/create.ts "$SKILL_NAME"

Creates:

skills/[name]/
├── SKILL.md          ← Instructions
└── scripts/
    └── main.ts       ← Bun Shell logic

SKILL.md Template

---
name: [skill-name]
description: [One line]. Use when user says "[trigger1]", "[trigger2]", or "[trigger3]".
---

# /[skill-name] - [Title]

[What it does in one sentence.]

## Usage

\`\`\`
/[skill-name] [args]
\`\`\`

## Step 0: Timestamp

\`\`\`bash
date "+🕐 %H:%M (%A %d %B %Y)"
\`\`\`

## Step 1: [First Action]

[Instructions for Claude]

## Step 2: [Second Action]

[Instructions for Claude]

## Output

[What to show user]

---

## Oracle Integration

When skill completes successfully:
\`\`\`
oracle_learn({ pattern: "[What was learned]" })
\`\`\`

---

ARGUMENTS: $ARGUMENTS

main.ts Template (Bun Shell)

#!/usr/bin/env bun
import { $ } from "bun"

const args = process.argv.slice(2)
const input = args[0] || ""

// Your logic here
const result = await $`echo "Processing: ${input}"`.text()

console.log(JSON.stringify({ input, result }, null, 2))

---

Step 4: Register Skill (Optional)

Add to marketplace.json:

{
  "skills": [
    "./skills/[new-skill-name]"
  ]
}

Run converter:

python3 scripts/skills-to-commands.py

---

Step 5: Test

# Test script directly
bun skills/[name]/scripts/main.ts "test input"

# Test via Claude
/[skill-name] test input

---

Quick Mode (--quick)

Skip questions, use defaults:

Default	Value
Triggers	"[name]", "run [name]"
Output	JSON
Oracle integration	Yes (trace + learn)

---

Examples

Example 1: Simple Utility

/skill-creator git-stats

Name: git-stats
Does: Show git repository statistics
Triggers: "git stats", "repo stats", "show commits"
Input: None (uses current repo)
Output: Commit count, contributors, recent activity

Example 2: Integration Skill

/skill-creator mqtt-notify

Name: mqtt-notify
Does: Send notifications via MQTT
Triggers: "notify", "send message", "mqtt"
Input: Message text
Output: Confirmation of sent message

---

Philosophy Checklist

Before creating, verify:

• Clear purpose - One sentence explains it
• Good triggers - 3+ natural phrases
• Oracle integration - Logs meaningful actions
• Cross-platform - Bun Shell (works everywhere)
• Testable - Can run script directly

---

list-ideas Mode

Query Oracle for skill ideas:

oracle_search("skill idea", type="learning")
oracle_search("would be nice to have", type="retro")

Display as:

## Skill Ideas from Oracle

| Idea | Source | Priority |
|------|--------|----------|
| ... | learning/retro | high/medium/low |

---

ARGUMENTS: $ARGUMENTS