Skill UI

A comprehensive tool for extracting YouTube transcripts, searching videos, browsing channels, and monitoring new uploads. It supports detailed transcript analysis, content summarization, and playlist management by leveraging the TranscriptAPI. Ideal for researchers, content strategists, and market analysts who need structured data from video content without downloading files.

This skill automates the migration of existing frontend code (including React, Vue, Angular, and Next.js components) into a structured Stitch Design. It orchestrates the extraction of a self-contained HTML file, analyzes the source code to build a comprehensive design system document, and finally uploads both assets into your Stitch project for iteration and improvement.

This skill enables the upload of various local assets, including images (PNG, JPG, WEBP), extracted HTML, and design markdown files, directly to a designated Stitch project. Crucially, it bypasses the token limits associated with standard MCP tool calls by using a dedicated HTTP upload script. Use this when visual assets or large design documentation need to be integrated into your Stitch design system.

Neon Object Storage provides S3-compatible, branch-aware object storage directly integrated with your Neon Postgres project. It ensures that files (images, documents, user uploads) remain perfectly synchronized with the database schema across all development branches (dev, preview, staging, production). Use this skill when you need a single backend for both database rows and file assets, eliminating the need for separate cloud storage providers.

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.

A comprehensive preflight checklist for submitting manuscripts to the American Political Science Review (APSR). This guide emphasizes the critical steps for double-anonymous review, including stripping file metadata, properly anonymizing text to prevent author identification, and adhering to strict formatting rules (APSA Style, word counts, and abstract limits). Use this before uploading to Editorial Manager.

This tool guides researchers through the final pre-submission checklist for academic journals like EPSL. It verifies critical mechanical elements—such as word count adherence, data availability statements with DOIs, declarations of competing interests, and file format compliance—before uploading to the journal's editorial manager. It ensures the manuscript passes all technical gates.

This comprehensive guide serves as a critical preflight checklist for authors submitting manuscripts to high-impact journals like JAMA. It meticulously verifies completeness across multiple dimensions, including adhering to specific word/format limits, confirming required ethical statements (IRB, COI, data sharing), and ensuring all supplementary files (e.g., CONSORT/PRISMA checklists, flow diagrams) are correctly uploaded. It is designed as a final quality gate to prevent common submission errors.

This comprehensive pre-upload audit guide ensures submissions meet the strict technical and anonymity requirements for UAI OpenReview. It covers critical aspects like the 8-page main body constraint, combining all content into a single PDF, handling file size caps (15MB/50MB), and performing an identity sweep to maintain double-blind review standards.

This specialized skill traces the complete lifecycle of an uploaded or imported file through complex backend systems. It maps the sequence from ingress to final consumer, tracking every derived artifact, archive extraction, format conversion, parser invocation, and deserialization step. It is crucial for security analysis, vulnerability research, and understanding how a file reaches a decisive backend effect after initial sandbox assumptions are made.

This skill scans a specified local directory, extracts essential metadata from the files, and builds a comprehensive, searchable index. It then securely uploads this generated index to a configured remote search service via HTTP, making local files discoverable across remote platforms.

This command-line tool allows users to upload local files (screenshots, images, PDFs, videos, etc.) directly to GitHub's internal user-attachments endpoint. It outputs a special URL that GitHub automatically renders when pasted into PRs, issues, or comments, facilitating the easy sharing of media and screenshots within development workflows. It also supports downloading existing private attachments.