---

name: writing-claude-skills description: Create effective Agent Skills following the agentskills.io specification. Use when creating new skills, reviewing existing skills, or improving skill descriptions. allowed-tools: Read, Grep, Glob

Writing Agent Skills

Agent Skills are modular packages that extend AI agent capabilities. Skills are directories containing a SKILL.md file with YAML frontmatter and Markdown instructions.

Progressive Disclosure

Skills load in three stages to optimize context:

1. Discovery (~50-100 tokens): Only names and descriptions at startup
2. Activation (<5000 tokens): Full SKILL.md when task matches description
3. Execution: Referenced files load only when needed

Token budget: Keep main SKILL.md under 500 lines. Move detailed content to supporting files.

SKILL.md Structure

Copy---
name: skill-name-here
description: What it does. Use when [triggers]. Covers [keywords].
allowed-tools: Read, Grep, Glob # optional
---
[Markdown body with instructions, examples, guidelines]

Required Fields

name

1-64 characters, lowercase alphanumeric with hyphens. Must match parent directory name.

Include domain when capability could apply to multiple areas: mcp-server-development not server-development.

description

Critical field--agents use this to decide when to activate.

Pattern: "[Capability]. Use when [triggers]. Covers [keywords]."

Directory Structure

Copymy-skill/
├── SKILL.md           # Required: metadata + instructions
├── scripts/           # Optional: executable code
├── references/        # Optional: extended documentation
└── assets/            # Optional: templates, data files

Body Content

1. Opening Context: Brief purpose and activation triggers
2. Philosophy: Guide decision-making before prescriptive rules
3. Guidelines: Focused, actionable guidance with examples
4. Anti-patterns: What to avoid with examples
5. Remember: Core philosophy reminders

Tone: Bold, opinionated, directive. Use imperative mood.

Content Principles

• Actionable over theoretical: Patterns to follow, not abstract concepts
• Examples over explanation: Show don't tell
• Negative space: What NOT to do matters
• Token efficiency: Every line must justify its context cost

Common Mistakes

Testing

• Activation: Verify skill loads for trigger words, not for unrelated work
• Clarity: Ask teammate "When would you use this?"
• Effectiveness: Compare results with and without skill

Skills vs Agents

When to Create a Skill

Create when you see: repetitive instructions, generic outputs needing refinement, domain expertise gaps, consistency enforcement needs, repeated workflows.

Remember

• Specific beats generic - In naming and content
• Trigger words matter - Include terms users naturally mention
• One skill, one job - Focus trumps comprehensiveness
• Token efficiency - Every line earns its place
• Test activation - Verify the skill loads when expected

Skills are prompt engineering at scale. Make every word count.