Ревью кода на ИИ-готовность и автоматизацию

★ 6.9 · marketing

ai-code-review is a Claude Code skill that runs a structured AI-focused code review process, producing actionable recommendations backed by concrete metrics and an implementation roadmap. The workflow covers four steps: reading project context from memory.md and knowledge-base.md, selecting and applying a framework (AI Readiness Assessment, Human-in-the-Loop Design, or Automation ROI Calculator), generating the review document, and validating output against a quality checklist. The resulting report includes an executive summary, metric tables tracking Error Reduction %, Automation Rate, Time Saved Per Task, and Cost Per AI Operation, plus a prioritized action plan and risk register. Designed for engineering teams that need a repeatable, measurable code review process rather than generic advice, the skill also logs reusable learnings to knowledge-nominations.md and updates the project TaskBoard with follow-up actions.