Skill Creator

Skills are self-contained packages that extend Claude's capabilities with specialized workflows, domain knowledge, and reusable resources.

Anatomy of a Skill

code

skill-name/
├── SKILL.md              ← required: frontmatter + instructions
├── scripts/              ← optional: executable code (Python/Bash)
├── references/           ← optional: docs loaded into context as needed
└── assets/               ← optional: templates, images, fonts used in output

SKILL.md Frontmatter

Only name and description are required. The description is the primary trigger — write it to cover all "when to use" cases, because the body only loads after the skill triggers.

yaml

---
name: my-skill
description: What this skill does and when to use it. Include all trigger phrases and use cases here. Example: "Use when the user wants to X, Y, or Z. Triggered by 'do X', '/my-skill', or 'help me with Y'."
---

Body: Degrees of Freedom

Match specificity to the task:

Task type	Use
Many valid approaches	Free-form text instructions
Preferred pattern with some variation	Pseudocode or parameterized scripts
Fragile, must be exact	Specific scripts with few params

Core Principles

Concise is key — Context window is shared. Only include what Claude doesn't already know.

Progressive disclosure — Keep SKILL.md under 500 lines. Move detailed content to references/ files and link them explicitly from SKILL.md.

No extra docs — No README.md, CHANGELOG.md, INSTALLATION.md in the skill. Only files the AI agent needs.

Creation Process

1. Understand with Examples

Ask the user:

•What tasks should this skill handle?
•Give 2-3 concrete examples of how it would be used.
•What should trigger it?

2. Plan Resources

For each example, think:

•Is there code that gets rewritten repeatedly? → scripts/
•Is there domain knowledge Claude needs? → references/
•Are there templates/files used in output? → assets/

3. Create the Skill Directory

bash

mkdir -p skills/my-skill/scripts skills/my-skill/references skills/my-skill/assets

Delete unused subdirectories.

4. Write SKILL.md

•Frontmatter: name + comprehensive description
•Body: Workflow steps, key commands, when to use references
•If supporting multiple variants (AWS/GCP/Azure, React/Vue/etc.), keep SKILL.md lean and use references/<variant>.md

5. Add Bundled Resources

Scripts — Write, then test by actually running them:

bash

python skills/my-skill/scripts/my_script.py

References — Documentation, schemas, API specs. For files >100 lines, add a table of contents at the top.

Assets — Templates or boilerplate to copy/modify (not loaded into context, used in output).

6. Validate Structure

code

✅ SKILL.md has name + description in frontmatter
✅ Description covers all trigger cases
✅ Body is under 500 lines
✅ References linked explicitly from SKILL.md
✅ Scripts tested and working
✅ No extraneous documentation files

7. Add to This Repo

Place the skill folder in skills/ and update README.md table.

Reference File Patterns

Pattern 1 — High-level + references:

markdown

## Advanced features
- Form filling: See [references/forms.md](references/forms.md)
- API reference: See [references/api.md](references/api.md)

Pattern 2 — Multi-variant:

code

cloud-deploy/
├── SKILL.md (selection logic)
└── references/
    ├── aws.md
    ├── gcp.md
    └── azure.md

Pattern 3 — Conditional:

markdown

For basic edits, modify directly.
**For tracked changes**: See [references/redlining.md](references/redlining.md)

Keep references one level deep — all link directly from SKILL.md.