Skill UI

This skill captures and persists critical user decisions, project constraints, and architectural choices across multiple sessions and agents. It saves this context into a structured memory database (`mdbase`), ensuring that future development steps or agents can retrieve the original intent without re-deriving it from scratch. Ideal for documenting project rules, tech stacks, and design rationale.

Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance. Use this router at the start of any n8n MCP task to load relevant skills, enforce non-negotiables like skill invocation before actions, validate and verify workflows, and keep secrets secure. Trust live tools and skills over training data.

This skill generates appropriate user feedback states for components and pages, including loading skeletons, empty states, error messages, and success toasts. It ensures consistent UI presentation by implementing specific design patterns for data-dependent areas, handling partial or full failures, and providing retry mechanisms. It follows design language references for animations and accessibility, suitable for React-based frontend development workflows.

Secure-by-default environment variable and secret management for Claude Code sessions. Validate, load, and audit secrets without exposing values to logs, diffs, or AI context. Features schema-based validation, sensitive data masking, and safe command execution.

Expert in vector databases, embedding strategies, and semantic search implementation. Proficient with tools like Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Optimizes index configuration, hybrid search, and performance tuning for scalable AI systems.

Deploy, configure, and optimize production vector databases such as Qdrant, Weaviate, pgvector, and Pinecone for RAG, semantic search, and recommendations, covering collection design, HNSW indexing, quantization, and multi-tenant filtering.

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.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

A comprehensive, multi-phase quality assurance tool designed for Next.js fullstack applications. It verifies production readiness by checking code integrity, build success, SEO metadata, API authentication, route stability, performance, and security vulnerabilities. Use it as a mandatory pre-deployment checklist before promoting an app to production.

Automatically extracts key frames from MP4 videos at configurable intervals, runs Tesseract OCR, and generates structured Markdown reports with video metadata and timestamped text transcripts. Ideal for creating searchable text from video presentations, lectures, or screencasts.

Configure secure network tunnels using WireGuard and OpenVPN protocols. This skill covers setting up remote access for employees, connecting on-premises networks to cloud environments, and encrypting traffic between data centers. It includes server and client configuration, peer management, split tunneling, and firewall rules implementation. Ideal for DevOps engineers and security professionals managing infrastructure connectivity.

This skill helps plan and review read-only data warehouse analysis with explicit scope, privacy, and validation checks. It turns business questions into reproducible analysis plans without assuming specific schemas. It identifies needed data, reviews proposed queries for risks like grain or privacy, and ensures results are communicated accurately. Suitable for authorized data warehouse usage, query review, and analysis documentation while avoiding administrative tasks.