Audits and grades Jupyter notebooks against Anthropic's official style guide and quality standards.
The cookbook-audit skill provides a structured framework for evaluating the narrative flow, technical accuracy, and instructional quality of AI-centric notebooks. It automates the review process by running validation scripts, scanning for hardcoded secrets, and converting notebooks into a clean markdown format for focused evaluation. By applying a 20-point rubric, the skill helps developers and technical writers ensure their content follows the Diataxis framework, moving beyond simple 'hacks' to provide transferable knowledge and production-grade implementation patterns.
主な機能
01Actionable reporting with specific suggestions and priority-based improvements
02Automated notebook validation and security scanning for hardcoded API keys
03Multi-dimensional scoring for narrative, code, accuracy, and operability
04Markdown-based review workflow that strips noisy output for better context focus
052 GitHub stars
06Consistency checks for the Anthropic 'Problem-First' instructional philosophy
ユースケース
01Performing quality assurance on community-contributed AI tutorials and cookbooks
02Ensuring translated technical content maintains instructional rigor and style consistency
03Standardizing internal technical documentation and AI implementation guides
