Skill UI

This skill acts as a specialized tutorial engineering specialist, transforming raw, complex technical concepts or codebases into structured, progressive, and engaging educational content. It applies pedagogical design principles, such as progressive disclosure, spaced repetition, and hands-on exercises, to create documentation, courses, and onboarding materials that teach users how to build, debug, and optimize, rather than just referencing information.

This guide provides production-ready patterns for implementing the TwinMind AI memory and meeting intelligence REST API. It covers best practices for authentication, storing contextual memories, searching knowledge bases, and processing meeting transcripts to extract actionable insights. Use this when building robust, scalable AI-powered applications or standardizing team coding practices.

Neon is a robust serverless Postgres platform that separates compute and storage, offering advanced features like autoscaling, branching, and instant restore. This guide provides comprehensive resources on setting up, connecting to, and utilizing Neon databases. It is fully compatible with standard Postgres and integrates seamlessly with various languages, ORMs, and developer tools for robust data management.

Validates PCI DSS compliance by running the pci-dss-validator plugin on codebases or infrastructure configs, then reports violations and remediation steps for developers, security engineers, and compliance officers.

Expert capability for designing and implementing complex semantic search systems using vector databases. Proficient in embedding strategies, index optimization (HNSW, IVF), and advanced retrieval methods like RAG and hybrid search. Masters major platforms including Pinecone, Weaviate, Qdrant, Milvus, and pgvector for building sophisticated recommendation and similarity search applications.

This comprehensive guide outlines best practices for optimizing vector indexes for production systems. It covers critical techniques such as tuning HNSW parameters, implementing quantization strategies, and optimizing memory usage. Use this when you need to balance search latency, recall, and scalability for large-scale vector databases.

This skill simulates a senior documentation engineer, generating highly structured, evidence-based technical documentation. It processes codebases to create comprehensive wiki pages, mandating deep structural analysis, citing specific code paths (file:line), and incorporating mandatory architectural diagrams (Mermaid). Ideal for creating deep-dive system manuals, component guides, and technical deep dives with verifiable sources.

This skill simulates an expert software engineer and systems analyst. It is designed for deep, evidence-based understanding of complex codebases. Users can ask "how does X work" or request architectural reviews, ensuring every claim is grounded in actual code paths, data flows, and dependency chains, following a rigorous multi-iteration process.

This skill provides advanced context management for AI in large-scale, complex codebases. It optimizes context windows, ensures memory persistence across multiple sessions, and helps prioritize critical information. Use it when working with massive code repositories to maintain context and improve developer workflow.

This skill facilitates the end-to-end deployment of web applications and websites, supporting full-stack architectures including backend APIs, databases, and file storage. It is used when the user wishes to publish a project to a public, live URL, managing the entire deployment lifecycle from template selection to status checking and updates.

Guides using SQLMap to automate SQL injection discovery, enumerate databases/tables/columns, dump data, and collect hashes across MySQL/PostgreSQL/MSSQL/Oracle during authorized penetration tests.

gget is a CLI/Python client that unifies querying over 20+ bioinformatics databases, letting researchers fetch gene info, sequences, BLAST results, structures, and enrichment data interactively or within scripts.