Skill UI

Analyzes text to determine emotional tone and polarity, classifying passages as positive, negative, or neutral; ideal for processing reviews, social media posts, surveys, or any feedback that requires opinion mining or emotion detection.

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.

Automates SurveyMonkey surveys, responses, collectors, and analytics via Composio’s Rube MCP toolkit, guiding discovery-before-action workflows, pagination-aware fetching, error checks, and bulk processing for productivity scenarios.

Automate SurveyMonkey workflows via natural-language commands: create surveys, list and search them, manage collectors, fetch responses, and inspect metadata without leaving your chat context.

AI-powered search using Perplexity models via LiteLLM and a single OpenRouter API key for real-time, web-grounded answers with citations, ideal for up-to-date research, literature surveys, fact checking, and domain-specific queries beyond model cutoffs.

An expert guide for SaaS businesses to reduce both voluntary and involuntary customer churn. This skill helps design structured cancel flows, implement dynamic save offers based on exit surveys, and set up systematic dunning sequences for failed payments. Use it when optimizing customer retention, improving billing recovery, or redesigning the entire cancellation journey.

Customer research expert that synthesizes qualitative and quantitative signal. Analyzes transcripts, surveys, tickets, and online reviews to reveal pains, triggers, jobs-to-be-done, and customer language. Mines public sources such as Reddit and G2, and designs primary interviews and surveys to discover customer sentiment and market fit.

This skill performs a structured Systematic Literature Review (SLR) by analyzing multiple academic papers on a given topic. It searches academic databases (like arXiv), extracts structured metadata (research questions, methodologies, key findings, limitations) from the entire set of papers, and synthesizes overarching themes and research trends. It is ideal for creating comprehensive literature surveys, annotated bibliographies, and cross-paper comparisons, outputting reports in professional citation formats like APA, IEEE, or BibTeX.

This comprehensive guide serves as an expert resource for maximizing form completion rates across various non-signup business needs, including lead capture, contact requests, checkout flows, and surveys. It covers core CRO principles, field-by-field optimization (e.g., Name, Email, Phone), structuring multi-step forms, improving error handling, and optimizing the final call-to-action button for maximum user conversion.

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.