Anthropic Explains How to Build Self-Correcting Verification Loops in Claude Code

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Anthropic has published guidance on building verification loops in Claude Code, enabling AI agents to automatically check and fix their own work before delivering results. A verification loop is a repeating cycle where the agent runs tests, linters, or custom checks and resolves failures without human intervention. The approach uses reusable 'skills' encoded in SKILL.md files, ensuring consistent quality checks are applied automatically across every session. Anthropic recommends developers identify repetitive manual checks they currently perform, describe them in plain English, and use the skill-creator plugin to let Claude generate the corresponding skill file. Example use cases shared include frontend build verification, database migration safety checks, and keeping API documentation in sync with code changes.

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