소개
Research After Failure is a strategic workflow enhancement for Claude Code designed to break loops of unproductive trial-and-error. When the agent fails to solve a problem twice in a row, this skill triggers a mandatory 'stop-and-research' phase, requiring the AI to document past failures, analyze repository documentation, search the existing codebase for patterns, and consult online resources before attempting a third solution. This systematic approach ensures that subsequent attempts are based on hard data rather than guesswork, significantly improving success rates for complex debugging tasks while providing clear escalation paths to human developers when blockers persist.