customaize-agent:apply-anthropic-skill-best-practices

Skill authoring best practices require concise SKILL.md frontmatter with mandatory name and description fields to enable reliable Claude model discovery and safe prompt execution.

Structure large Claude prompts by organizing content into modular sections and references loaded on demand, keeping prompts efficient across models while enforcing explicit toxicity checks.

Validate custom Claude skills by applying evaluation loops, model compatibility checks, and explicit toxicity considerations, documenting optional components and dependencies for traceable governance.

No dependencies are required to apply Anthropic skill best practices, as the framework relies on a reproducible template enforcing mandatory frontmatter and modular references directly in SKILL.md.

The best way to document optional components in SKILL.md is using a reproducible template that records dependencies and modular references separately, ensuring traceable governance and efficient loading.

Progressive disclosure in skill authoring should not be used for simple tasks lacking complex structured metadata, as the overhead of modular references provides no efficiency benefit for basic prompts.