Skill UI

This tool provides comprehensive on-chain analysis for DeFi protocols, allowing users to track metrics like Total Value Locked (TVL), fee revenue, DEX volumes, and yield opportunities. It is essential for DeFi researchers, protocol analysts, and yield farmers who require programmatic access to deep blockchain insights using the DeFiLlama API.

This tool provides comprehensive on-chain analysis for DeFi protocols, allowing users to track metrics like Total Value Locked (TVL), fee revenue, DEX volumes, and yield opportunities. It is essential for DeFi researchers, protocol analysts, and yield farmers who require programmatic access to deep blockchain insights using the DeFiLlama API.

This skill provides comprehensive guidance and established patterns for conducting rigorous scientific research and complex data analysis. It helps users structure their thinking process, ensuring a systematic and methodical approach to scholarly inquiry. Ideal for academic projects, literature reviews, and complex data interpretation.

Firecrawl provides a comprehensive API for web data harvesting. It enables users to perform single-page scraping, multi-page crawling, site mapping (URL discovery), and advanced structured data extraction using Large Language Models (LLMs). Ideal for integrating data pipelines, building web monitoring tools, or conducting market research.

A comprehensive workflow for systematically reviewing medical evidence. It allows users to search databases for clinical studies, build curated citation collections, grade evidence using established frameworks like GRADE, and generate professionally formatted, structured reports in academic citation styles (e.g., AMA). Ideal for conducting literature reviews and supporting clinical research. This tool helps transform raw medical data into actionable, structured knowledge.

The LinkedIn Automation CLI Tool allows users to programmatically interact with LinkedIn content and functionality. It supports fetching detailed profiles, searching people and companies, and managing connections directly from scripts or AI agents. Ideal for building automated research, recruiting, or outreach workflows, providing structured JSON output for reliable integration into custom systems.

A comprehensive tool designed to search, download, and summarize academic papers from the arXiv repository. Users can search by topic or specific ID, manage result limits, and save PDFs locally. The system extracts detailed metadata, provides abstract summaries, and identifies key research contributions.

Utilize this skill to simulate an intensive, multi-round expert peer review process (NeurIPS/ICML level) for academic research, paper drafts, or project ideas. It conducts a deep critical analysis, helping users identify logical gaps, missing experiments, narrative weaknesses, and refining the core contribution claims through iterative, highly structured dialogue.

Paperzilla is a comprehensive skill for interacting with curated academic research data. Users can query the latest project recommendations, fetch canonical papers with detailed summaries (markdown), track project feeds, and provide feedback. It allows deep analysis and export of research insights, making it essential for researchers and students needing structured academic information.

This technique guides users to use precise chemical compound names, specific concentration values (e.g., "1.5 mg/L"), and taxonomic synonym counts as exact-match search anchors when querying biological literature. By leveraging quotation marks and combining multiple specific terms, it uniquely identifies research papers or species details, greatly improving search precision in biochemistry and botany.

This advanced research technique is designed for deep dives into football topics. Instead of relying solely on the original query, it mandates tracking every discovered entity—such as player names, club names, or coaches—from search results. By treating these entities as new leads, the user must formulate follow-up searches using the discovered names and remaining constraints, ensuring nothing relevant is overlooked and building a comprehensive knowledge chain.

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.