Skill UI

This guide provides a comprehensive workflow for searching and retrieving biomedical literature from PubMed and NCBI. It covers advanced query construction using MeSH terms and specific field tags, advanced filtering (date, publication type), and a repeatable programmatic workflow using NCBI E-utilities (esearch, efetch). Essential for researchers conducting systematic reviews and literature monitoring.

This utility diagnoses and automatically repairs common issues within the Ruflo installation environment. It performs comprehensive health checks on core dependencies like Node.js, npm, and git, while also validating configurations, daemon status, memory databases, and API keys. It provides targeted commands to resolve issues related to memory initialization, daemon startup, and configuration resets, ensuring a stable operational environment.

This comprehensive guide details the complete Test-Driven Development (TDD) workflow for Spring Boot applications. It covers best practices for writing unit tests (JUnit 5, Mockito), web layer tests (MockMvc), integration tests (SpringBootTest), and persistence tests (DataJpaTest). It also instructs how to use Testcontainers for realistic database simulations and achieve high code coverage with JaCoCo, ensuring robust and maintainable codebases.

Architectural guidance for building modules with the tinystruct Java framework: @Action routing, dual CLI/HTTP mode, bin/dispatcher scripts, ActionRegistry, unit testing, JSON handling and database persistence.

This tool generates sophisticated trading signals by leveraging an advanced anomaly detection engine. It scans financial assets for various market anomalies—such as spikes, drifts, and oscillations—and classifies them. It then integrates neural network prediction and searches historical pattern databases to output highly ranked, actionable trading signals, complete with confidence scores and target parameters.

Provides a structured workflow for systematically accessing and analyzing official intellectual property data from the USPTO. This skill covers patent search (PatentSearch API), trademark status checks (TSDR), ownership transfer tracking, and building reproducible IP landscape logs. It is designed for data collection and record verification, emphasizing the use of official APIs and rigorous logging practices. (Warning: Not for legal advice.)

This skill facilitates the persistent storage of critical brand knowledge, including campaign learnings, brand guidelines, and competitive intelligence, into a specialized memory layer (such as a vector database). It automatically indexes content, deduplicates entries via hashing, and applies rich metadata tagging, ensuring that valuable institutional knowledge is preserved and retrievable through natural language search across different sessions.

Performs advanced semantic search across all stored brand knowledge, including guidelines, campaign learnings, and competitor insights. By combining vector databases, knowledge graphs, and local indices, it provides comprehensive, context-aware answers to complex natural language questions, ensuring users make decisions based on the brand's entire historical knowledge base.

This guide assists authors targeting the ACM SIGMOD conference. It provides expert advice on positioning, framing, and structuring database systems papers. It emphasizes strong algorithmic or systems contributions, realistic workloads, and necessary evidence, while also advising on routing relative to similar venues like VLDB and ICDE.

This guide outlines a systematic methodology for conducting comprehensive literature reviews in economics. It moves beyond simple summarizing by teaching researchers how to build an evidence matrix, ensuring systematic coverage by sweeping databases (JEL codes, keywords, working papers). It is essential for preparing high-impact academic reviews that must prove exhaustive coverage and synthesize complex, often conflicting, findings.

This skill guides the systematic gathering and structuring of literature for comprehensive academic reviews, such as an Annual Review of Psychology (ARPsych). It ensures broad coverage by executing traceable searches (database sweeps, citation chasing) and building a detailed evidence matrix (one row per finding). This establishes a robust, documented base of evidence, allowing the user to focus their analytical contribution later without sacrificing completeness.

A comprehensive guide for finalizing empirical tables and figures for high-level academic journals. It mandates moving beyond mere statistical significance by requiring deep economic interpretation (magnitude analysis). Covers three-line table conventions, proper event-study plot construction (CI and time markers), and precise variable sourcing (formula and database name) to ensure publication readiness.