Skill UI

Personalized reports that analyze recent Claude Code chats to surface recurring challenges, highlight learning gaps, curate HackerNews resources, and deliver actionable development insights directly to your Slack DMs for targeted growth.

A comprehensive guide detailing the internals, memory layout, and performance best practices for Go's built-in and standard library data structures. Covers slice capacity growth, map hashing mechanisms, pointer safety (unsafe/weak), and guides on selecting the most efficient structure for optimal memory usage and runtime performance.

This guide provides comprehensive instructions for setting up monitoring and observability for Qdrant deployments. It helps users track critical performance metrics, check system health, and diagnose complex production issues such as memory growth or slow query requests. Use cases include setting up Prometheus, Grafana, and implementing robust health checks.

A comprehensive guide to optimizing Alchemy API usage costs. Learn how to manage Compute Units (CU) by implementing aggressive caching, utilizing batch operations, and selecting the right development plan (Free, Growth, Scale). This tool helps developers monitor usage and reduce API billing expenses for dApps.

A comprehensive guide for diagnosing and reducing high memory consumption in Qdrant. This resource is crucial when dealing with reports of 'memory leak', 'out of memory', or excessive RAM growth. It details how Qdrant manages resident memory and OS page cache, and provides advanced techniques such as quantization, using float16/int8 data types, and strategically storing components on disk (like HNSW indexes or sparse vectors) to minimize the memory footprint and ensure stable, scalable operation.

A comprehensive guide to implementing schema.org structured data using JSON-LD format. Learn to correctly identify page types (Product, Article, Organization, FAQPage) and apply the necessary schema markup to help search engines understand content context. This skill covers initial assessment, core principles (accuracy, validation), and optimizing for rich results like star ratings, site search blocks, and rich snippets, significantly boosting search engine visibility and CTR.

This mandatory review process simulates a CTO interrogation, pressure-testing major architectural and engineering decisions. It forces teams to systematically address critical areas including scaling cliffs, accrued technical debt, team growth models, build vs. buy Total Cost of Ownership (TCO), reliability Service Level Objectives (SLOs), and security compliance. Use this before major commits to surface potential risks.