Skill UI

Guides SaaS teams through designing cancel flows, save offers, exit surveys, and dunning to stop voluntary and involuntary churn, with targeted questions and reason-to-offer mapping plus post-cancel win-back cues.

Build company culture as an operational system: define values, translate them into observable behaviors, design rituals, and assess culture health with surveys and actionable frameworks.

Guides experts through auditing and experimenting on non-registration forms to boost completion rates, covering assessment, design, copy, layout, and hypothesis testing for lead, contact, demo, survey, or checkout flows.

This skill helps design cancel flows, save offers, and exit surveys to reduce voluntary and involuntary churn in SaaS businesses. It covers dunning emails for failed payments and recovery strategies. By understanding exit reasons, you can offer targeted solutions to recover MRR and improve customer retention rates effectively.

A comprehensive knowledge-base-first skill designed for deep literature reviews in advanced communication domains. Use it for topics like 4G/5G/6G, wireless networking, satellite communications, Wi-Fi, routing protocols, and cross-layer optimization. It systematically searches structured academic databases (IEEE, ACM, Zotero, etc.) to provide related work, survey papers, and landscape summaries.

This tool functions as a command-line interface (CLI) alias for conducting a structured PUA survey. It guides the user through the survey process, collects confidential local responses, and manages configuration data in `~/.pua/config.json`. It is designed for seamless integration within developer environments using Codex/Claude Code.

This skill facilitates the design of comprehensive employee engagement surveys (e.g., annual, pulse, exit) and provides a structured framework for analyzing the results. It guides users through creating key sections like eNPS, culture metrics, and growth opportunities, culminating in actionable plans and communication templates for HR professionals.

This guide provides comprehensive methodological blueprints for designing scholarly manuscripts submitted to Accounting, Organizations and Society (AOS). It covers various research paradigms, including qualitative field studies, behavioral experiments, surveys, and historical/archival inquiries. Emphasis is placed on rigorous planning, ethical considerations (IRB approval, consent, anonymity), and maintaining theoretical alignment between the research design and the core argument, helping researchers avoid methodological pitfalls.

This guide provides comprehensive guidelines for selecting, validating, and defending rigorous research designs for Contemporary Accounting Research (CAR) manuscripts. It covers various approaches—including panel archival, controlled experiments, analytical models, field studies, and surveys—while stressing critical rigor checks like identification strategy, internal validity, and model discipline. It also mandates adherence to ethical review processes and data integrity policies.

A comprehensive guide for academic researchers on designing, auditing, and reporting rigorous studies (experiments, field deployments, surveys, etc.) for Human-Computer Interaction (HCI) papers. It details best practices for quantitative power analysis, qualitative thematic analysis, ethical reporting, and mixed-methods integration to ensure research claims are strongly supported by evidence.

A comprehensive guide designed to help researchers evaluate the suitability of their manuscript for 'China Rural Survey.' It covers the journal's academic scope, key thematic interests (e.g., land tenure, rural governance), required structural elements, and critical submission protocols (such as double-blind review, data/code public disclosure, and abstract formatting). Use this tool to refine your argument and ensure compliance before formal submission.

A comprehensive guide to strengthening the quantitative research design for communication manuscripts. It covers best practices and methodological rigor for experiments (lab/online), panel surveys, and content analysis. Learn how to pre-register designs, control for common confounds (e.g., common-method variance), and rigorously establish causality, helping you defend your work against skeptical reviewers.