Skill UI

A comprehensive guide to building highly accessible user interfaces using React and Next.js. Covers best practices for semantic HTML, proper ARIA attribute usage, managing form labels and error states, and ensuring full keyboard navigation support. Essential when developing any interactive component or form.

This memory bridge ingests Claude Code's local auto-memory markdown files and structures them into AgentDB. It generates high-fidelity ONNX embeddings, handles deduplication using cosine similarity, and indexes the memories in a scalable namespace. This enables seamless, unified semantic search across all historical sessions and projects, significantly enhancing RAG capabilities.

A state-of-the-art memory search engine providing multi-faceted retrieval strategies. It supports default dense semantic matching, advanced hybrid search (sparse + dense with RRF), deep multi-hop Graph RAG for complex reasoning, and 'Smart' search utilizing query expansion, recency boosting, and MMR diversity reranking. Ideal for retrieving nuanced, diverse, and time-sensitive information from large, complex knowledge bases across multiple namespaces.

This expert skill generates comprehensive, implementation-ready documentation for the Stitch design system. It covers style foundations, semantic tokens, component anatomy, accessibility requirements (WCAG 2.2 AA), and content standards. Ideal for ensuring visual consistency and creating robust, enterprise-grade user experiences across data-driven applications and AI workflows.

This skill helps discover natural groupings within a large collection of semantic embeddings using the `ruvector` tool. It employs graph-based algorithms (Spectral/Louvain) to cluster code or data, revealing underlying themes, identifying outliers, and organizing vast vector sets. Ideal for analyzing codebases or large datasets to understand relationships between entries.

A utility designed to generate high-dimensional vector embeddings (384-dim) from various sources including text, code, or documents. This process converts raw data into numerical representations optimized for semantic search, similarity comparison, and clustering, utilizing ONNX and HNSW indexing for efficient retrieval.

A comprehensive skill for ingesting, analyzing, and manipulating multi-modal video and audio content. Supports real-time desktop capture, live stream monitoring (RTSP), and file uploads (URL/local). Capabilities include advanced indexing (visual, semantic, temporal), precise moment searching, professional timeline editing (subtitles, overlays, dubbing), transcoding, and generating actionable alerts. Ideal for content creators, monitoring systems, and complex media workflows.

Ruflo is a powerful, cross-agent orchestration layer designed to manage complex, multi-step AI coding workflows. It supports coordinating large swarms of AI agents, managing persistent memory through semantic search, and executing sophisticated pipelines using 30+ specialized plugins. Ideal for large-scale development tasks, system benchmarking, and deep research requiring coordinated agent effort.

Performs advanced semantic search across all stored brand knowledge, including guidelines, campaign learnings, and competitor insights. By combining vector databases, knowledge graphs, and local indices, it provides comprehensive, context-aware answers to complex natural language questions, ensuring users make decisions based on the brand's entire historical knowledge base.

This skill guides authors on positioning their programming language research for the PLDI conference. It covers scope fit, required evidence (formal semantics, implementation insights), structural recommendations, and necessary framing changes (e.g., from journal to conference style) to maximize acceptance chances at this flagship venue.

This skill guides authors on optimizing manuscripts for the ACM SIGPLAN International Conference on Functional Programming (ICFP). It helps assess the technical depth, scope fit, and required evidence (e.g., type systems, semantics, compilers) needed to successfully position a functional programming paper for this top-tier venue. Use it for pre-submission refinement, framing, and strategic planning.

This skill provides a comprehensive guide for authors targeting the ACM SIGPLAN POPL conference. It helps authors strategically position their programming language theory work, covering core areas like type systems, semantics, and formal reasoning. It ensures manuscripts are reframed to meet the rigorous standards of a top-tier academic conference, emphasizing precise formal contributions and clear theoretical significance.