Skill UI

This skill allows users to search, fetch detailed metadata, download, and summarize academic papers from the arXiv repository. It supports searching by keywords or specific arXiv IDs and provides robust arguments for controlling the results count, output directory, and download scope. Ideal for students, researchers, and anyone requiring scholarly literature.

This skill automates the end-to-end academic paper writing process. It transforms raw narrative reports, research ideas, or existing plans into polished, submission-ready LaTeX source and PDF. The comprehensive pipeline includes planning, figure generation, structured writing, compilation, and an advanced improvement loop, allowing users to achieve publication-quality results. Users can optionally guide the structural style using a reference paper.

This file-based system provides a structured method for organizing and tracking the progress of complex, multi-stage projects or extensive research tasks. It automatically generates and manages key files like `task_plan.md`, `findings.md`, and `progress.md`. It is ideal for users needing to deconstruct, plan, and maintain comprehensive visibility over large, complex workflows, supporting automatic session recovery and integrity checks.

This guide details advanced techniques for searching cricket matches by leveraging precise numerical scoring data. Instead of broad terms, users should utilize specific details—such as team totals (e.g., 168/9), runs off balls, wickets taken, or over details—combined with the match type and year to create highly targeted search queries. This method significantly improves search accuracy and efficiency when researching sports statistics.

This technique guides users on decomposing multi-constraint questions, especially in the domain of football trivia or historical research. Instead of searching all criteria simultaneously, it instructs users to rank constraints by distinctiveness (e.g., specific match results first, then historical milestones). By performing incremental, cascading searches, the system dramatically narrows down the result set, leading to more accurate information retrieval.

Provides comprehensive tools for academic research, allowing users to search databases like Google Scholar and PubMed. It extracts accurate metadata, validates citations, and generates standard formats like BibTeX. The skill ensures reference accuracy and supports the creation of scientific schematics to enhance document visualization.

This technique guides users through a rigorous two-phase research strategy. First, conduct a broad search to identify potential papers or authors. Crucially, the system instructs the user to use the extracted "author full name" as a highly specific anchor in subsequent queries. Combining the author's name with details like journal, institution, year, or biographical information ensures the most precise and reliable results, significantly narrowing down the search scope and achieving deep academic insights.

This advanced tool acts as a specialized prompt engineer, guiding users to create highly optimized, production-ready prompts for various AI models (LLMs, Midjourney, etc.). It enforces strict writing rules, guides detailed intent extraction (Task, Context, Constraints), and provides model-specific best practices (e.g., Claude vs. GPT-5.x) to maximize AI output quality and maintain consistency. Essential for professional content creators, developers, and researchers needing precise AI interaction.

Automates the entire process of web research and professional communication. It takes raw web search results and formats them into polished, structured messages, digests, or threaded summaries optimized for Slack. Users can generate outputs in Slack's native Markdown format, Block Kit JSON, or a ready-to-use Webhook command, perfect for weekly reports, security alerts, and competitive intelligence updates.

This skill analyzes the user's local screen history captured by the screenpipe daemon. It detects repeated research patterns and workflows, compares them against known skills, and drafts actionable proposals for new or combined skills (composition recipes). It is designed to help users systematize their ongoing work habits and formalize repeatable processes into reusable skills.

A powerful web toolkit powered by Exa, specifically optimized for scholarly and technical research. This skill handles advanced web searching (semantic lookups, current events) and precise URL content extraction (fetching articles, PDFs, and web pages). It excels in academic contexts, allowing users to bias results toward peer-reviewed papers and specific scholarly domains for high-quality, reliable information gathering.

A powerful 12-agent pipeline designed for academic writers, guiding users through the entire research publication lifecycle. It covers systematic literature review, structural outlining, full drafting, citation compliance, bilingual abstract generation, and simulating peer review. Features include Style Calibration and Writing Quality Checks to ensure high academic rigor and professional polish.