Skill UI

Audit a component or page for accessibility issues and fix them. Follows WCAG 2.2 AA compliance, covering color contrast, touch targets, keyboard navigation, semantics, and ARIA. Ideal for front-end developers and UI designers to ensure web accessibility.

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.

Vexor is a command-line interface tool that utilizes vector embeddings to perform semantic file searches. It is designed to enhance workflow efficiency by allowing users to query files based on meaning rather than keywords, particularly when integrated with AI models like Claude or Codex. Ideal for developers needing context-aware file retrieval within codebases or documentation.

Vexor CLI enables semantic file discovery within large repositories. Instead of manual browsing or exact text matching, it locates files based on intent, implementation, or definition. It supports various search modes like code-aware chunking and Markdown outlines, allowing developers to quickly find relevant code or documentation. Use it for locating entrypoints, config logic, or specific features efficiently.

This comprehensive skill provides an end-to-end solution for video and audio content creation. Users can upload videos from various sources (YouTube, local files) and perform advanced operations such as real-time streaming, semantic search, and complex editing (trimming, overlays). Key features include AI-powered transcription, subtitle generation, and the ability to generate diverse media assets like images, music, sound effects, and voiceovers, making it ideal for content creators and media professionals.

A comprehensive skill for interacting with Weaviate vector databases. It enables advanced operations including semantic search, hybrid keyword querying, schema inspection, data exploration, collection creation, and bulk data import (CSV, JSON, PDF). Use this skill when you need to query data conceptually, retrieve specific raw objects, or manage the lifecycle of Weaviate collections.

A powerful utility that queries multiple free APIs (Pexels, Pixabay, Internet Archive, etc.) in a single query. It retrieves normalized, license-tagged results for real-world, historical, or archival images, videos, and GIFs, making it a peer to local semantic search and generative media tools. Includes specialized scripts for fetching and judging audio.

Standardized register for tracking prompt regression baselines, semantic drift thresholds, judge model verdicts, and golden datasets. Export CSV, SQL DDL, and JSON Schema to guard against output degradation across prompt revisions.

Read live Microsoft Fabric capacity utilization and per-item CU consumption from the Capacity Metrics semantic model with fab, diagnose throttling, carry-forward and stale metrics-app issues, and start, pause or monitor capacities from scripts or a status bar.