What makes a 'good' cookbook according to this skill?

A good cookbook is action-oriented, leads with a problem-first framing, uses clear learning objectives, and ensures the code is executable and secure.

What is the primary purpose of the Cookbook Audit skill?

It is designed to provide a structured, professional review of Jupyter Notebooks to ensure they follow best practices for educational content, security, and technical accuracy.

How does the scoring system work?

Notebooks are scored on a 20-point scale across four dimensions: Narrative Quality, Code Quality, Technical Accuracy, and Actionability/Understanding.

Does this skill detect security vulnerabilities?

Yes, the skill includes automated checks using detect-secrets to identify hardcoded API keys and credentials before notebooks are published.

Can I use this for my own internal documentation?

While it is pre-configured for the Anthropic style guide, its automated validation and structural checks are highly effective for any builder-focused technical documentation.

Cookbook Quality Auditor

Name: Cookbook Quality Auditor
Author: Microck

byMicrock

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114

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학습 및 문서화

Audits Jupyter Notebooks against professional style guides and rubrics to ensure high-quality, secure, and educational technical content.

The Cookbook Audit skill provides a comprehensive framework for reviewing and improving technical cookbooks, specifically optimized for the Anthropic Cookbook ecosystem. It automates technical checks such as secret detection and notebook validation while guiding a rigorous manual review process based on the Diataxis framework. By evaluating narrative quality, code standards, and technical accuracy against a standardized 20-point rubric, it helps developers transform raw code into consistent, action-oriented learning materials that emphasize both practical implementation and conceptual agency.

주요 기능

01Structured audit reports with executive summaries and prioritized recommendations

02Standardized scoring across narrative, code quality, and technical accuracy

03Deep integration with style guide templates for pedagogical consistency

04114 GitHub stars

05Automated notebook validation and security scanning for hardcoded API keys

06Markdown-based review workflow for cleaner context analysis without output noise

사용 사례

01Ensuring internal company data science guides meet educational standards

02Auditing existing tutorials for deprecated API patterns and model names

03Reviewing new notebook contributions for technical documentation repositories

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microck/ordinary-claude-skills cookbook-audit

For use in Claude.ai and ChatGPT

Download Skill