Skill UI

This router guides authors through the complex, multi-stage process of preparing a manuscript for a top-tier finance journal like the Review of Finance (RoF). It diagnoses current bottlenecks—whether related to contribution framing, data analysis, or rebuttal strategy—and systematically recommends the next specialized skill to ensure a complete and high-quality submission.

This toolkit guides the entire academic publishing lifecycle, acting as a central router across multiple venues. It sequences critical steps—from selecting the ideal target journal (`rt-journal-match`) through data execution, submission readiness checks, simulated referee review, point-by-point rebuttal drafting, and generating the final replication package. It provides a structured, end-to-end process for researchers submitting complex manuscripts.

This workflow router is designed for academic researchers targeting top-tier strategy journals. It does not write the paper but acts as a systematic guide, analyzing the current state of your manuscript—from vague ideas to final submission—and recommending the precise next specialized skill needed. It ensures that the paper is systematically improved across theory development, methodological rigor, data analysis, and contribution framing, guiding the author through the entire publication lifecycle.

This tool acts as an orchestrator for Social Psychology Quarterly (SPQ) submissions, guiding authors through the entire manuscript lifecycle. It routes the user based on the research stage, the sociological tradition (e.g., symbolic interaction, social structure), and the article type (Article vs. Note). Its core function is ensuring the paper maintains the critical link between the individual and society, directing the user to the appropriate specialized skill for design, theory, data, and writing.

This skill generates fully valid Microsoft Threat Modeling Tool (.tm7) files. It translates complex system architectures, including components, data stores, data flows, and external actors, into the required WCF DataContractSerializer XML format. Use it for structured STRIDE threat modeling outputs compatible with Microsoft's official tool.

This comprehensive guide walks authors through the critical final stages after conference acceptance. It covers de-anonymization, ensuring proper metadata for proceedings volumes (PMLR), integrating all reviewer responses, regenerating figures, and preparing for physical/virtual presentations (posters and spotlights). Use this to manage the entire complex workflow from acceptance to final submission.

This tool acts as the central orchestrator for academic manuscripts submitted to World Politics. It guides authors through the entire scholarly writing lifecycle, determining the correct article type (research vs. review), verifying the scope (must cross cases in comparative politics/IR), and routing the project to the appropriate specialized writing skills (e.g., theory building, data analysis, literature positioning). It ensures the work maintains a big, comparative, and international scope.

A comprehensive guide detailing the workflow for converting an accepted academic manuscript into its final, archival format for major digital libraries (e.g., ACM Digital Library). It covers critical steps including completing e-rights forms, de-anonymizing content, verifying CCS concepts and keywords, managing metadata, and troubleshooting common production pitfalls to ensure successful publication.

An AI SDK specifically designed for Dart and Flutter applications. Genkit provides a unified interface for building sophisticated AI agents, defining complex data flows, and integrating various Large Language Models (LLMs) like Gemini, OpenAI, and Anthropic. Use it to manage code generation, structured outputs, tools, and complex operational workflows in Dart.

Provides a comprehensive, step-by-step workflow for conducting rigorous literature reviews across academic, biomedical, and technical domains. It guides users through defining research questions (PICO), developing systematic search protocols, evidence logging, source screening, structured data extraction, and synthesizing findings to build high-quality, reproducible review reports.

Scanpy is a powerful, scalable Python toolkit built on AnnData for comprehensive single-cell RNA-seq data analysis. It supports the complete biological workflow, including quality control, normalization, dimensionality reduction (PCA, UMAP, t-SNE), clustering, marker gene identification, and sophisticated cell type annotation, enabling the generation of publication-quality figures.

This advanced skill specializes in analyzing complex mail-related abuse scenarios, including OAuth consent flows, forwarding rule exploitation, shared mailbox access, and transport rule manipulation. It is used in forensic investigations to trace message artifacts, identify persistence mechanisms, and prove privilege escalation or data exfiltration following a compromise.