writing-skills

Agent skills trigger reliably when you define strong frontmatter metadata, concise documentation, and pressure-tested validation workflows that expose loopholes before deployment. This approach ensures instructions are followed even in edge-case scenarios.

Skill authoring is writing SKILL.md files with discovery metadata, triggering language, and documentation structure. Required frontmatter includes searchable descriptions and keywords that ensure the skill is found and followed by agents during tasks.

Agents ignore skill documentation when triggering conditions are weak or instructions contain loopholes. You can diagnose this by running pressure scenario testing to expose failures, then refactor to tighten instructions and add counters to rationalizations.

Test agent skills by running baseline and pressure scenarios that evaluate whether instructions hold under realistic task pressure. This validation practice exposes failures and loopholes, allowing you to harden the skill before release.

You can refactor existing skills by tightening instructions, adding counters to rationalizations, and improving discovery through better descriptions. This hardens documentation-based workflows against edge-case behavior and improves overall triggering.

Documentation-based skill workflows can fail when instructions contain loopholes or triggering language is too narrow for realistic task pressure. Pressure testing exposes these limitations, but highly ambiguous edge cases may still require manual intervention or instruction refactoring.