moai-cc-skill-factory

name	moai-cc-skill-factory
version	2.2.0
created	"2025-10-22T00:00:00.000Z"
updated	"2025-11-05T00:00:00.000Z"
status	active
description	Create and maintain high-quality Claude Code Skills through interactive discovery, web research, and comprehensive description writing standards. Use when building new Skills, researching latest best practices, updating existing Skills, writing skill descriptions with proper trigger keywords, or generating Skill packages backed by official documentation and real-world examples.
keywords	["skill-creation","claude-skills","best-practices","web-research","interactive-discovery","skill-updates","description-writing","metadata-standards"]
allowed-tools	["Read","Write","Glob","Bash","WebFetch","WebSearch"]

Skill Factory - High-Quality Skill Creation System

Skill Metadata

Field	Value
Version	2.1.0
Tier	CC (Claude Code Meta)
Auto-load	Proactively when building Skills
Purpose	Interactive discovery → Web research → Skill generation

---

What It Does

Interactive discovery, web research, continuous updates를 통한 고품질 Claude Code Skill 생성 및 유지관리 시스템을 제공합니다.

Core capabilities:

• ✅ Interactive user surveys via moai-alfred-ask-user-questions
• ✅ Web research for latest information (WebFetch/WebSearch)
• ✅ Skill analysis and update recommendations
• ✅ Official documentation validation
• ✅ Progressive Disclosure pattern
• ✅ Multi-model compatibility testing

---

When to Use

• 새로운 Skill 패키지를 생성할 때
• 최신 best practices와 공식 문서를 조사할 때
• 기존 Skill을 분석하고 업데이트할 때
• Skill generation workflow를 orchestrate할 때

---

Core Principles

1. Conciseness Over Completeness

• SKILL.md should stay under 500 words
• Trust that Claude is already intelligent—provide guidance, not lectures
• Reference patterns, provide decision trees, link to supporting files

2. Appropriate Freedom Levels

Freedom Level	When to Use	Content Style
High	Flexible, creative work	Principles, trade-offs, considerations
Medium	Standard patterns exist	Pseudocode, flowcharts, annotated code
Low	Deterministic, error-prone	Specific scripts with error handling

3. Three-Level Progressive Disclosure

Level 1: Metadata (Always Active)
├── name, description, allowed-tools
└── ~100 tokens total
    ↓
Level 2: Instructions (On Demand)
├── SKILL.md main body
└── Loads when Claude recognizes relevance
    ↓
Level 3: Resources (As Needed)
├── reference.md, examples.md
└── Consumed when explicitly referenced

---

Quick Start: Creating a Skill

5-Step Process (Total: ~2 hours)

1. Define Problem (10 min): What gap does this Skill fill?
2. Design Metadata (10 min): Name (gerund + domain), description, allowed-tools
3. Structure Content (30 min): High (20%) + Medium (50%) + Low (30%) freedom
4. Add Examples & References (30 min): 3-4 examples, detailed reference
5. Validate & Test (20 min): CHECKLIST.md, multi-model testing

---

YAML Metadata Requirements

Frontmatter Structure

---
name: "Skill Name"
description: "What it does and when to use it"
allowed-tools: "Tool1, Tool2, Tool3"
---

Field Specifications

name (Required):

• Max 64 characters
• Format: Gerund (action verb) + domain
• Example: "Processing CSV Files with Python"

description (Required):

• Max 1024 characters
• Format: Third person, action-oriented
• Must include: capabilities + trigger scenarios + 3+ keywords
• Critical: Use "Use when" pattern with 3-5 trigger keywords
• For complete description writing guidelines: See Description Writing Standards

allowed-tools (Recommended):

• Minimal principle: Only tools actually used
• Format: Comma-separated list
• Example: "Read, Write, Edit, Bash(git:*)"

Detailed metadata guide: See METADATA.md

---

File Organization

Recommended Structure

skill-name/
├── SKILL.md                    # Main instructions (~500 words)
├── reference.md                # Detailed specs, API docs
├── examples.md                 # 3-4 real-world examples
├── CHECKLIST.md                # Quality validation (optional)
├── scripts/                    # Utility scripts
└── templates/                  # Reusable templates

Rules

Rule	Rationale
One level deep	Avoids nested discovery
Relative paths	Cross-platform compatibility
Forward slashes	Unix convention
<500 lines per file	Manageable context

Detailed organization guide: See STRUCTURE.md

---

Quality Validation

Before publishing, audit your Skill:

Metadata Completeness

• name ≤ 64 characters, gerund format
• description ≤ 1024 chars, includes 3+ triggers
• allowed-tools is minimal and justified

Content Quality

• SKILL.md ≤ 500 words
• All major concepts have examples
• Terminology is consistent
• Progressive Disclosure applied

Multi-Model Compatibility

• Haiku can understand concise examples
• Sonnet exploits full Skill capabilities
• Opus can extend patterns beyond examples

Complete validation checklist: See CHECKLIST.md

---

Advanced Features

Interactive Discovery

Use TUI surveys to clarify vague requirements and capture all user needs.

Detailed guide: INTERACTIVE-DISCOVERY.md

Web Research

Gather latest information, best practices, and official documentation.

Detailed guide: WEB-RESEARCH.md

Skill Update Advisor

Analyze existing Skills and propose updates based on latest information.

Detailed guide: SKILL-UPDATE-ADVISOR.md

---

Common Failure Modes

Issue	Root Cause	Fix
Not activating	Description too generic	Add 5+ specific keywords
Haiku ignores it	Examples too complex	Simplify pseudocode
Over-specifying	Too much low-freedom content	Increase principles
Scope creep	Covers too many domains	Split into 2-3 focused Skills
File too large	SKILL.md > 500 words	Move content to reference.md

---

Integration

With moai-alfred-skill-generator Sub-Agent

User: "/alfred:1-plan Create Skill for X"
    ↓
skill-generator Sub-Agent (ANALYZE → DESIGN → ASSURE phases)
    ↓
moai-skill-factory Skill (PRODUCE phase)
    ↓
Complete Skill package created

Tools Used

• WebFetch: Fetch official documentation
• WebSearch: Search for latest best practices
• Read/Glob: Review existing Skills
• Bash: Directory creation, file operations

---

Related Skills

• moai-alfred-ask-user-questions: Interactive user surveys (delegated)
• moai-alfred-skill-generator: Skill generation orchestrator

---

Complete Documentation

Core Guides:

• METADATA.md — Metadata authoring guide
• STRUCTURE.md — File organization patterns
• CHECKLIST.md — Pre-publication validation

Advanced Features:

• INTERACTIVE-DISCOVERY.md — TUI survey patterns
• WEB-RESEARCH.md — Web research strategies
• SKILL-UPDATE-ADVISOR.md — Skill analysis & updates

Workflows:

• SKILL-FACTORY-WORKFLOW.md — Complete workflow
• STEP-BY-STEP-GUIDE.md — Practical walkthrough

References:

• reference.md — Detailed API reference
• examples.md — Real-world case studies
• EXAMPLES.md — Additional examples

---

Key Differentiator: User-centric + research-driven + always-current + delegation-first orchestration

---

End of Skill | Refactored 2025-10-27