Skill UI

A comprehensive tool designed for academic literature orientation. It searches papers using free keyless APIs (PubMed and OpenAlex) and builds a structured 'launching pad' guide, rather than a finished review. It helps researchers define their scope using frameworks like PICO/SPIDER, ensuring a confident and systematic starting point for deep research in unfamiliar fields.

This advanced skill acts as a hybrid router for complex research queries. It deterministically classifies the user's intent, delegating to specialized modules (e.g., funding grants, academic literature, patent search, company dossier) when applicable. If no specialist fits, it executes a robust fallback plan, synthesizing multi-source information into a detailed, cited briefing or document. Ideal for comprehensive investigative research across multiple domains.

This skill transforms a course syllabus (PDF, DOCX, etc.) into a highly curated, supplementary academic reading list. It parses topics and learning outcomes, calibrates content difficulty based on the target audience (undergraduate, graduate, etc.), and searches academic databases (Consensus) for recent, peer-reviewed papers. The output is a professional .docx file containing summaries, links, and advanced discussion questions, making it invaluable for educators and students needing structured, up-to-date course resources.

A powerful tool for deterministic and reproducible retrieval of evidence from specialized academic and policy corpora. It supports searching arXiv (preprints), PubMed/PMC (biomedical literature), and US policy documents. Users can check corpus freshness, retrieve stable metadata, and fetch full-document Markdown for high-reliability research tasks.

Build academic conference posters (ICML/NeurIPS/ICLR/CVPR) as a single HTML/CSS file rendered to print-ready PDF via headless Chromium, with measurement-driven hard gates, real paper figures, provenance manifests, and two-hue design tokens.

This skill automates the entire process of compiling a complex LaTeX academic paper. It orchestrates multiple compilation steps (xelatex, bibtex, xelatex x 2) to render a final PDF from assembled inputs, including abstract, body, and bibliography. Ideal for generating professional, formatted scholarly articles and technical reports.

This meta-skill fetches the top academic papers from the arXiv API in a specified category. It generates a structured digest for each paper, renders this digest into a professional PowerPoint (PPTX) presentation (one slide per paper), and finally saves the comprehensive digest to long-term memory for future reference. Designed for daily 'morning briefings' of academic research.

This meta-skill orchestrates a multi-step process to transform complex research questions, data, or deep reports into a structured, source-backed presentation deck (PPTX). It automatically handles searching, source curation, synthesizing an executive storyline, and generating a professional slide outline and talk track, making it ideal for competitive analysis, leadership briefings, or academic presentations.

A unified CLI tool that queries multiple web and academic search engines (Crossref, Brave, Tavily, DuckDuckGo) in parallel. It aggregates results, extracting structured metadata like DOI, publication year, and authors. Ideal for deep research, cross-checking claims, or comparing scholarly coverage against general web results.

This tool facilitates comprehensive research by pulling relevant information from multiple Notion sources. It synthesizes scattered data into highly structured documentation, such as detailed briefs, comparative analyses, or executive reports. It ensures all claims are supported by accurate inline citations and links, making it ideal for market research, project documentation, or academic reporting where source traceability is critical.

This specialized tool generates a pure LaTeX abstract for academic papers. It takes the fully revised body, core topic, and detailed preferences (such as audience, style, and emphasis) as inputs. It ensures the abstract is a concise, faithful summary, covering the problem, approach, evidence, and main results while adhering to strict structural and stylistic guidelines.

This tool assists researchers in structuring complex academic papers by systematically mapping specific claims within designated sections (Introduction, Method, Results, Discussion) to available BibTeX citation keys. By planning citations beforehand, users can ensure proper citation density, maintain structural integrity, and guarantee that every critical claim is adequately supported according to the paper's required style and focus.