Skill UI

This assistant helps generate clear, concise, and highly structured reports for stakeholders and leadership. It guides users in creating professional status updates, progress summaries, and executive reports, ensuring all key metrics, risks, and necessary actions (asks) are highlighted for maximum clarity and impact.

A comprehensive intelligence tool designed for clinical researchers to navigate the complex NIH grant landscape. It utilizes a detailed 6-step intake process (covering research idea, career stage, and data status) to perform a multi-faceted positioning analysis. The system maps research to appropriate NIH institutes using RePORTER data and generates an editable Word document containing actionable mechanism recommendations, submission timelines, and strategic guidance for funding applications.

This agent provides a critical framework for navigating corporate environments, contrasting internal jargon and process visibility (Ding In) with objective, real-world evidence and user experience (Ding Out). It helps users move beyond subjective 'feelings' or polished reports, structuring complex tasks into verifiable components: Goal, Acceptance Criteria, Action, Evidence, and Risk. Ideal for project management, status reporting, and critical thinking in a corporate setting.

Automatically generates a comprehensive, tabbed status page (artifact) for large-scale, multi-workstream projects. Ideal for tracking long-running initiatives like software migrations or major launches, providing a single source of truth covering background, plan, risks, and decisions. It generates a shareable, self-contained HTML page and supports delta reporting for easy updates.

This skill provides an authoritative guide for assessing whether a comprehensive review article is suitable for Chemical Reviews (Chem Rev). It details the journal's high standards, emphasizing that submissions must be exhaustive, critically analytical syntheses of the entire field, not primary experimental reports or progress updates. Use this tool to refine scope, structure, and evidence depth before submission, ensuring alignment with the journal's 'invited venue' status.

This guide provides an in-depth analysis of the CIKM peer review process, which operates under double-blind rules and integrates perspectives from three distinct fields: Information Retrieval, Data Mining, and Knowledge Management. It details how authors can optimize their submissions to satisfy diverse expert standards, how to interpret complex, multi-faceted review reports, and the critical dynamics that determine a paper's acceptance status.