Skill UI

A comprehensive suite designed for AI agents to perform safe, deep, and multi-format web searches. It allows agents to retrieve current web information, analyze PDFs, extract YouTube transcripts, and access GitHub code files. Instructions include guidelines for varying search depths and using specialized tools for code context retrieval.

This skill generates comprehensive, academic-style survey papers as a single, self-contained HTML file. By reading an anchor resource and curating research data, it structures the content and utilizes advanced LLMs (like Kimi K2.6 via Fireworks) to generate all prose, figures, and bibliographies, suitable for rapid academic literature review.

A comprehensive toolkit designed to automate virtually all interactions with the Twitter/X platform via Rube MCP. It supports creating, managing, and deleting posts; performing advanced searches across recent or full archives; looking up user profiles by ID or username; managing bookmarks and lists; and interacting with content (liking/unliking). Essential for integrating social media management into automated workflows.

Query the UniProt REST API for protein sequences and annotations. Search by gene, accession or organism, fetch FASTA files, map IDs across Ensembl, RefSeq and PDB, customize returned fields, and stream large datasets programmatically.

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 intent-based file discovery in medium/large repositories. It uses semantic search to locate files by what they implement, load, define, or document, with modes for code, docs, and filename-only search. Supports rich and scriptable output formats.

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.

Automate WhatsApp Business tasks via Rube MCP (Composio): send text, template, and media messages, manage contacts and templates, and handle business profiles. Always search tools first for current schemas.

Answer repository questions grounded entirely in source code evidence. Searches and reads relevant files, then synthesizes answers with inline citations. Useful for understanding specific files, functions, or components, and for answering how or where questions about the codebase.

Expert software engineer and systems analyst skill for deep codebase understanding, tracing actual code paths, and providing evidence-based architectural analysis. Use when users need to understand complex systems spanning many files or require pattern investigation.

This tool converts YouTube talks into local study notes featuring slide snapshots, transcripts, and editable annotations. It builds a personal library where each video becomes a markdown file with an interactive viewer. No database or cloud service is required, ensuring full ownership of your data. Ideal for researchers and students creating deep-dive notes from video content.

Workflow for searching USPTO patent and trademark records using PatentSearch API, TSDR, file wrapper, and assignment data. Build reproducible IP research logs and compare with secondary sources. Not legal advice.