Skill UI

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

Python toolkit that queries the arXiv Atom API to search papers by keywords, authors, categories, or IDs, filter results, download PDFs, and emit structured JSON for AI/ML literature reviews and monitoring.

Automates listing a Google Drive folder and downloading every file, including exporting Google Docs as PDFs, using gws commands for bulk retrieval scenarios.

This skill utilizes the 2slides API to generate professional, multi-format presentations. It supports creating slides from raw text, summarizing uploaded documents, matching a specific style from a reference image, and adding AI voice narration. Outputs include interactive slide URLs and downloadable PDFs. Ideal for any 'make slides' or 'create a deck' workflow.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

This advanced skill downloads Instagram posts, carousels, and Reels at their original, high resolution directly from the CDN. It supports batch processing of multiple URLs, automatically creates organized folders for each post, and stitches multi-slide carousels into a single PDF file, making content archiving and aggregation seamless.

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.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

Efficiently search bioRxiv life sciences preprints by keywords, authors, date ranges, or categories; retrieve structured metadata and download PDFs for literature review.