AI Create Skill

ai-create-skill

Create new AI agent skills that follow the Agent Skills format and fit into this repository's category structure.

When to use

Use this skill when:

• Creating a new skill from scratch
• Helping a user define agent instructions for a practice, pattern, or tool
• Reviewing whether an existing skill follows the correct format

Instructions

1. Choose the correct category. Place the skill under the most specific matching category:

   • ai/ — Cross-cutting skills applicable to any project
   • common/ — Cross-cutting skills applicable to any project
   • operations/ — DevOps, CI/CD, deployment, and infrastructure skills
   • frontend/ — General frontend skills
   • frontend/*/ — Technology specific skills
   • backend/ — General backend skills
   • backend/*/ — Technology specific skills

2. Create the skill directory. Use a kebab-case name that clearly identifies the skill:

   skills/<category>/<skill-name>/
   

3. Create SKILL.md with frontmatter. Every skill must have a SKILL.md file with YAML frontmatter containing name and description:

   ---
   name: <category>-<skill-name>
   description: A single sentence describing what this skill does.
   ---
   

   • The name must be unique across the repository.

   • The description should be concise — it is used for skill discovery and matching.

4. Write the skill body. Structure the Markdown body with these sections:

   Required sections:

   • # <name> — Title matching the frontmatter name, followed by a one-line summary.
   • ## When to use — Bullet list of situations where this skill should activate.
   • ## Instructions — Numbered step-by-step instructions the agent must follow.

   Optional sections:

   • ## Prerequisites — Other skills or tools required before this one applies.
   • ## Core concepts — Background knowledge the agent needs to reason correctly.
   • ## Examples — Concrete code or output examples demonstrating correct behavior.
   • ## References — Links to external documentation or standards.

5. Write instructions for an AI agent, not a human.

   • Be explicit and unambiguous — the reader is a language model, not a developer skimming docs.
   • Use imperative language: "Do X", "Never Y", "Always Z".
   • Provide decision trees when multiple paths exist (if A then B, otherwise C).
   • Include validation checks the agent can self-evaluate ("Ask: can X hold without Y?").
   • Avoid vague guidance like "use best practices" — spell out exactly what to do.

6. Keep skills focused. One skill = one concern. If a skill grows beyond ~150 lines, consider splitting it into multiple skills and referencing prerequisites between them.

7. Add optional supporting files if needed:

   • scripts/ — Executable helper scripts the agent can invoke (shell, Node.js, Python).
   • references/ — Supporting documentation, checklists, or lookup tables.

8. Update the category README. Add the new skill to the bullet list in skills/<category>/README.md:

   - <skill-name>/SKILL.md
   

9. Validate the skill.

   • Does the frontmatter parse as valid YAML?
   • Is the name unique in the repository?
   • Does the "When to use" section give enough signal for skill matching?
   • Are instructions actionable without external context?
   • Would an AI agent know exactly what to do after reading only this file?

Template

Use this as a starting point for a new skill:

---
name: <category>-<skill-name>
description: A brief description of what this skill does.
---

# <category>-<skill-name>

One-line summary of what this skill accomplishes.

## When to use

Use this skill when:

- Situation A
- Situation B
- Situation C

## Instructions

1. First actionable step.
2. Second actionable step.
3. Additional steps as needed.