Agent skill: definition and examples

Definition

An agent skill is a reusable package of instructions, references, workflow rules, and quality checks that an AI agent can load for a specialized task. Instead of relying on one long prompt, the skill tells the agent when it applies, what context to read, which steps to follow, and what acceptance criteria must be satisfied.

Skills can be small, such as a narrow formatting workflow, or broad, such as a complete page-generation system with routing, playbooks, and QA rules.

Why it matters

Agent output often drifts when the task is complex. A skill reduces that drift by giving the agent a durable procedure. It can define required inputs, route ambiguous requests, load only relevant references, and reject outputs that violate project rules.

For one person companies, skills turn repeated work into leverage. The founder can encode how pages, tools, docs, or coding loops should work once, then reuse that procedure across agent sessions and repositories.

Example

Pagewell is packaged as an agent skill for generating and maintaining pages as code. It includes routing, page-type playbooks, free-tool rules, QA, discovery-file updates, SEO operations, and claim checks. When a user asks for a comparison page, Pagewell can route the task to the alternative-page playbook instead of treating it as generic copywriting.

Related concepts

• AI coding agent describes the agent that applies the skill.
• Pages as code is the implementation model Pagewell uses.
• Generative engine optimization is one quality target for generated pages.

Sources

• Anthropic Claude Skills
• Pagewell repository
• Last checked: 2026-05-09