Skill Creator

Verified 中级 Intermediate 流程型 Process ⚡ Claude Code 专属 ⚡ Claude Code Optimized
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Anthropic official skill creation guide: progressive disclosure design + six-step process

Skill Creator

Overview

Anthropic's official guide for creating high-quality Claude skills. A systematic process from requirement definition through packaging and iteration.

What Skills Provide

  • Specialized workflows: Step-by-step domain guidance
  • Tool integrations: Connect external services via MCP or scripts
  • Domain expertise: Encode expert knowledge as reusable instructions
  • Bundled resources: Scripts, references, templates, and assets

Core Design Principles

Conciseness

The context window is a shared resource. Skills should contain only the minimum information needed.

Appropriate Degrees of Freedom

Overly rigid skills can't adapt to real scenarios. Leave reasonable room for Claude's judgment.

Progressive Disclosure

Three-level loading system for maximum token efficiency:

Level Content When Loaded
Level 1 YAML frontmatter Always in system prompt
Level 2 SKILL.md body When Claude deems skill relevant
Level 3 Linked files (references/) On demand

Skill File Structure

your-skill-name/
├── SKILL.md                  # Required — main skill file
├── scripts/                  # Optional — executable code
│   ├── process_data.py
│   └── validate.sh
├── references/               # Optional — documentation
│   ├── api-guide.md
│   └── examples/
└── assets/                   # Optional — templates, icons
    └── report-template.md

Six-Step Creation Process

Step 1: Understand the Skill

Define use cases with concrete examples. Write 2-3 real requests users would make.

Step 2: Plan Reusable Content

Determine what's universal guidance (SKILL.md) vs. specialized reference (references/).

Step 3: Initialize the Skill

Create folder structure and write YAML frontmatter:

---
name: your-skill-name          # kebab-case, required
description: >                 # Required: what + when
  Describe skill functionality and trigger conditions.
  Include specific phrases users might say.
---

Step 4: Write SKILL.md

  • Put critical instructions at the top
  • Use numbered steps and clear structure
  • Mark key info with ## Important / ## Critical headers
  • Reference bundled resources with clear paths

Step 5: Package the Skill

  • Folder names in kebab-case
  • SKILL.md spelling is case-sensitive
  • No README.md inside the skill folder
  • Keep SKILL.md under 5,000 words

Step 6: Iterate Based on Usage

Signal Meaning Action
Skill doesn't trigger when it should Description too vague Add trigger phrases and keywords
Triggers on unrelated tasks Description too broad Add negative triggers
Inconsistent results Instructions ambiguous Improve steps, add error handling

YAML Frontmatter Fields

Field Required Description
name kebab-case, matches folder name
description What + when, < 1024 chars
license e.g., MIT, Apache-2.0
allowed-tools Restrict tool access
metadata Custom key-value pairs (author, version, etc.)

Best Practices

  • Code is more reliable than language: Use scripts for critical validation, not just prose
  • Iterate on one task first: Get a single hard task working in conversation, then extract it into a skill
  • The description field is the most important part: It determines when Claude loads your skill
  • Skills are living documents: Plan to iterate continuously, not write once

相关技能 Related Skills