Skill UI

A comprehensive toolkit for professional security engineers. It covers the entire security lifecycle, including systematic threat modeling using STRIDE, designing secure architectures based on Zero Trust and Defense-in-Depth, conducting detailed vulnerability assessments (SAST/DAST), and implementing secure coding practices. Ideal for security audits, compliance reviews, and building resilient systems.

Vercel Engineering’s authoritative React and Next.js performance guide, offering prioritized rules for waterfalls, bundle size, data fetching, memoization, rendering, caching, and advanced patterns.

Guides multi-location retailers through demand forecasting, safety stock calculation, replenishment planning, promotional lift estimation, and ABC/XYZ segmentation, blending statistical best practices with ML-ready feature engineering to balance service levels and inventory costs.

Helps product managers diagnose whether AI workflows rely on indiscriminate context stuffing or deliberate context engineering, then apply bounded domains, retrieval, and Research→Plan→Reset→Implement practices to improve reliability and output quality.

A comprehensive guide to advanced development practices on the Snowflake platform. Covers best practices for SQL (MERGE, semi-structured data, colon prefix rule), modern data pipeline construction (Dynamic Tables, Streams/Tasks, Snowpipe), and deep integration with Cortex AI functions and Snowpark Python. Essential knowledge for data engineers building robust, scalable, and intelligent data applications.

An expert assistant specializing in n8n workflow engineering. It guides users through the entire lifecycle of n8n automation, from initial workspace setup and configuration management to developing, editing, and validating complex workflows using version-controlled TypeScript files. It ensures adherence to n8n best practices and provides access to complete node documentation to prevent parameter hallucination.

A comprehensive guide for engineers, architects, and DevOps teams on implementing General Data Protection Regulation (GDPR) best practices. This skill covers Privacy by Design, data minimization, purpose limitation, retention policies, secure API design, and compliant logging practices. Use it when handling any personal data, designing new features, or reviewing systems for data privacy compliance.