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Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | create-expert-skill |
| description | Create production-ready skills from expert knowledge. Extracts domain expertise and system ontologies, uses scripts for deterministic work, loads knowledge progressively. Use when building skills that must work reliably in production. |
| version | 2.2 |
Transform expert knowledge into production-ready skills that combine domain expertise with system-specific understanding.
AI assistants fail not because they lack intelligence, but because they lack:
Both are required. Domain knowledge without system context produces generic output. System knowledge without domain expertise produces structurally correct but semantically wrong results.
Assess → Discover (Expertise + Ontology) → Design → Create → Refine → Ship
Create a skill when:
Don't create for: one-time tasks, basic knowledge Claude already has, rapidly changing content.
Deep knowledge that transcends any specific company:
Example (LEDES validation): LEDES 98B vs XML 2.0 formats, UTBMS code taxonomy, date format requirements, required vs optional fields.
How the skill maps to specific systems and organizations:
Example (LEDES validation): Firm-specific timekeeper codes, matter numbering conventions, approved billing rates, outside counsel guideline requirements.
When starting, I'll ask about:
skill-name/
├── SKILL.md # Layer 1: Core (300-500 tokens)
├── scripts/ # Layer 0: Automation (0 tokens to run)
│ └── validate.py
└── resources/ # Layer 2: Details (loaded selectively)
└── ADVANCED.md
Layer 0 (Scripts): Free execution, structured JSON output Layer 1 (SKILL.md): Loaded when triggered - keep lean Layer 2 (Resources): Fetched only when specific section needed
| Technique | Instead of | Do this | Savings |
|---|---|---|---|
| Scripts | 500 tokens explaining validation | python scripts/validate.py | ~450 tokens |
| Reference | Inline schema (200 tokens) | Link to resources/schema.json | ~185 tokens |
| Layer 2 | Everything in SKILL.md | Link to resources/ADVANCED.md | ~750 tokens |
<Action> <Object> for <Purpose>. Use when <Trigger>.
Example: "Validate billing data for system migration. Use before importing invoices."
When content is finalized:
python scripts/package_skill.py skill-name 1.0
Creates skill-name-v1.0.zip with:
See resources/templates/ for:
See resources/examples/ for domain-specific patterns.
Before shipping:
Version: 2.2 | Target: <500 tokens Layer 1