Skill UI

This skill provides a structured framework for managing complex, multi-agent development tasks. It treats agents as a collaborative team, utilizing structured work items, defined ownership, Agent Kanban boards, and explicit merge gates. This ensures that large-scale, multi-tool, or cross-branch development efforts are predictable, highly visible, and result in reliably mergeable, production-ready artifacts.

Design and implement a unified operational workflow for managing notifications sourced from disparate tools like GitHub, Linear, local hooks, and chat platforms. This skill addresses notification fragmentation, alert noise, and redundancy by establishing clear severity levels, ownership, routing channels, and next operational actions into a single, cohesive pipeline.

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 powerful tool monitors target keyword rankings across major search engines (e.g., Google) and tracks the presence and ownership of various SERP features (such as AI Overviews, Featured Snippets, and Local Packs). It establishes performance baselines and generates critical alerts when rankings drop significantly, or when the structure of search results changes, providing comprehensive visibility into organic search health.

This guide outlines rigorous standards for conducting heterogeneity analysis in economic research. It stresses that heterogeneity should not merely involve slicing data by region or size, but must be theoretically driven, linking multiple dimensions (e.g., ownership, financing constraints, industry type) to core economic mechanisms. The analysis must demonstrate significant group differences and clearly connect findings to differential policy implications, elevating the discussion from mere observation to actionable policy science.

This guide provides advanced methodological principles for conducting theoretically grounded heterogeneity analysis in financial research. It emphasizes that any dimension used for splitting the data (e.g., ownership, bank type, financial constraint) must be predicted by the underlying economic mechanism, rather than being an arbitrary data exploration. It details best practices, statistical rigor (group coefficient difference testing), and common pitfalls to avoid.

This guide helps researchers structure the institutional background section of advanced finance manuscripts. It emphasizes moving beyond general descriptions to precisely articulate regulatory rules, market segmentation, and ownership structures. The goal is to transform descriptive text into clear evidence for identifying exogeneity and analyzing policy shocks in empirical studies.

A comprehensive guide for security researchers to determine the optimal top-tier conference venue for their paper. It provides structured 'fit tests'—including the wire test, deployment envelope test, and adversary ownership test—and a routing table to assess whether the work belongs at NDSS, IEEE S&P, USENIX Security, or related venues, maximizing the chance of successful publication.

This guide provides an end-to-end backward planning roadmap for submitting to the SODA conference. It covers the entire theoretical computation cycle, key deadlines (e.g., July submission, rebuttal period), writing milestones, rebuttal strategies, and group ownership discipline, ensuring authors navigate the complex academic publication process efficiently.

This comprehensive guide provides an end-to-end planning framework for USENIX Security Symposium submissions. It assists researchers in selecting the optimal submission cycle, mapping backward timelines from key milestones (like registration), assigning ownership for venue-specific risks (e.g., ethics, reproducibility), and coordinating through the complex post-submission decision process (Accept/Reject).