Skill UI

This tool identifies, models, and optimizes compounding growth loops (e.g., viral, content, data, paid) within a business. By analyzing key metrics, calculating amplification factors, and determining cycle times, it pinpoints growth bottlenecks and proposes actionable strategies, ensuring sustainable and scalable business expansion.

A comprehensive tool for managing all URL redirects (301/302) across a website. Use it to create permanent or temporary redirects, systematically audit existing rules for common SEO issues like redirect chains, loops, and broken links, and fix these issues. Essential for site migrations, URL restructuring, and maintaining high SEO performance by preventing traffic loss.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.

This comprehensive guide provides a project management framework for publishing academic papers at major conferences like ACL. It details the complex "cycle-and-commit" rhythm, covering milestones from initial ARR submission through review, meta-review, commitment, camera-ready preparation, and final presentation. Learn techniques for backward planning, managing resubmission loops, and coordinating multiple papers across volatile academic cycles.

A comprehensive guide for authors assessing the fit of their computer science manuscript for the ACM CSCW conference. It provides expert advice on positioning, required evidence (empirical depth, design implications), scope vocabulary (collaboration systems, social platforms), and structuring the paper to maximize acceptance chances in social computing venues.

This skill guides authors writing about programming languages, software systems, and PL applications on how to assess if their manuscript is a suitable fit for the OOPSLA conference. It provides strategies for reframing papers, defining the required evidence (empirical, formal, or tool-based), and positioning the work against established CS research standards for top-tier systems conferences.

This system acts as an orchestrator for a three-tier model team (Advisor, Workers). It is designed for complex, large-scale tasks that exceed the capability of a single model pass, requiring decomposition, parallelization, and mandatory verification loops. Use cases include researching multiple competitors, executing multi-stage plans, or managing iterative development cycles involving different specialized AI agents.

This skill guides researchers on positioning academic manuscripts for the Asia-Pacific Economic Review. It covers the journal's scope, focusing on regional cooperation (RCEP), national economies, international trade, and China-Asia interactions. It helps users evaluate their topic fit, strengthen theoretical frameworks, and avoid common rejection pitfalls before formal submission.

This skill provides a comprehensive framework for positioning and refining academic manuscripts intended for the 'Contemporary Economy of Japan' journal. It specializes in comparative economics, focusing on Japanese macroeconomics, Sino-Japanese trade, regional cooperation, and policy implications for China's development. It guides users on meeting specific structural requirements, theoretical depth, and evidence standards (e.g., country data, comparative framework).

This skill automates the entire GitHub Pull Request (PR) review cycle, specifically targeting Copilot Code Review comments. It runs a robust loop: automatically triggering reviews, triaging open threads, dispatching parallel fixes that adhere to repo conventions, committing changes, and resolving comments. It continues iterating until the PR is deemed clean and ready for merge, minimizing manual effort and ensuring high code quality.

This guide provides comprehensive standards for achieving auditability and transparency in Computer-Supported Cooperative Work (CSCW) research. It teaches researchers how to document non-shareable evidence, such as field interviews, log traces, and system deployments, by focusing on detailed analysis trails, decision logs, and rigorous process documentation, thus strengthening academic rigor.

A comprehensive guide for researchers to determine if their human-centered research belongs in CSCW. It provides a critical unit-of-analysis test (group, community, organization) and a routing decision process to ensure the paper's focus is on cooperative practice, not just individual interaction. Use this before drafting to optimize submission to the correct academic venue.