Skill UI

A powerful tool designed to monitor blockchain mempools, analyzing pending transactions, gas price fluctuations, detecting DEX swaps, and identifying potential MEV opportunities. It is essential for advanced crypto traders, MEV researchers, and protocol developers who need to optimize transaction timing and gas costs across multiple EVM chains (Ethereum, Polygon, Arbitrum, etc.).

A powerful tool designed to monitor blockchain mempools, analyzing pending transactions, gas price fluctuations, detecting DEX swaps, and identifying potential MEV opportunities. It is essential for advanced crypto traders, MEV researchers, and protocol developers who need to optimize transaction timing and gas costs across multiple EVM chains (Ethereum, Polygon, Arbitrum, etc.).

A comprehensive guide for systematic statistical analysis, designed for academic research. This skill assists in selecting the correct hypothesis tests (t-test, ANOVA, regression, chi-square), checking assumptions (normality, homogeneity), performing advanced analyses (Bayesian methods, power analysis), calculating effect sizes, and generating full APA-formatted reports for publication.

A comprehensive toolkit designed for advanced data scraping and automation workflows on X/Twitter. Capabilities include deep tweet search, user profile analysis, bulk follower/media export, automated posting (replies, DMs), real-time account monitoring via webhooks, and integration with multiple AI agent platforms (Hermes, OpenClaw). Ideal for market research, social listening, and content automation.

This is an advanced, structured workflow designed to conduct deep, multi-source investigations. It synthesizes current public evidence with user-provided context to generate highly structured reports. The workflow explicitly differentiates between verifiable facts, user-supplied evidence, logical inferences, and actionable recommendations, making it ideal for complex comparative analysis or continuous monitoring tasks.

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 skill helps formulate evidence-bounded scientific questions and candidate hypotheses. It turns observations into transparent, testable research plans without treating hypotheses as facts. It distinguishes between observations, mechanisms, and predictions, ensuring rigorous research design and safety compliance.

Evaluate scientific claims, experimental design, and evidence quality using GRADE and Cochrane risk-of-bias frameworks. Identifies biases, confounders, statistical pitfalls, and logical fallacies, and guides constructive critical analysis of research papers.

This advanced skill is an end-to-end tool for transforming complex research topics into professional, visualized knowledge graph PDFs. It automatically conducts multi-round web searches, extracts key entities, structures related knowledge, and designs the optimal visualization (supporting Graphviz, PlantUML, etc.). Ideal for deep academic analysis, mapping character relationships, or visualizing complex technical architectures where existing structured data is unavailable.

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.

Structures prospective clinical study design: classify endpoints with surrogate flagging, estimate sample size and power for means, proportions and survival, and score phase-gate feasibility (GO / GO-WITH-CONDITIONS / REDESIGN / NO-GO) with named owners. Estimates only, never clinical fact.

HasData is a comprehensive cloud platform designed for extracting structured public web data. It supports three core execution modes: Web Scraping API for arbitrary URLs (including JS rendering), pre-parsed Scraper APIs for known platforms (like Google or Amazon), and asynchronous Scraper Jobs for bulk or recursive crawling. Ideal for market research, e-commerce intelligence, job data collection, and local business lead generation.