What is an agent skill?

An agent skill is a set of instructions, triggers, and outputs that define a specific capability for an AI agent. It allows the agent to perform tasks consistently and can be reused across different workflows.

How do I write a good agent skill?

Start by clearly defining the task's trigger (what starts it) and the expected output. Use precise, step-by-step instructions and include examples or constraints to guide the agent's behavior. Test and iterate to improve reliability.

What are common mistakes when writing agent skills?

Common mistakes include vague instructions, missing triggers or outputs, and not handling edge cases. Also, avoid overly complex logic that can confuse the agent—keep it focused and modular.

Use cases · write

Write Agent Skill

By Agent Skills Editorial · Updated 2026-05-22

Writing an agent skill involves defining a structured set of instructions, triggers, and outputs that enable an AI agent to perform a specific task reliably. Agents excel at this because they can follow precise, repeatable workflows, ensuring consistency and reducing manual effort. Whether you're automating a business process or creating a reusable tool, a well-crafted skill translates your intent into actionable steps. Below are 2 skills we evaluated for this task.

02 — Recommended

2 skills for this task

01 CURATED 4.4/5 C 4.4· A 0.0

skill-creator

Create, edit, improve, or audit AgentSkills.

02 CURATED 3.2/5 C 4.3· A 2.6

hermes-agent-skill-authoring

Author in-repo SKILL.md: frontmatter, validator, structure.

03 — FAQ

Common questions

What is an agent skill?: An agent skill is a set of instructions, triggers, and outputs that define a specific capability for an AI agent. It allows the agent to perform tasks consistently and can be reused across different workflows.
How do I write a good agent skill?: Start by clearly defining the task's trigger (what starts it) and the expected output. Use precise, step-by-step instructions and include examples or constraints to guide the agent's behavior. Test and iterate to improve reliability.
What are common mistakes when writing agent skills?: Common mistakes include vague instructions, missing triggers or outputs, and not handling edge cases. Also, avoid overly complex logic that can confuse the agent—keep it focused and modular.