Skill UI

This comprehensive guide manages the entire project lifecycle for academic conference submissions, such as VLDB. It provides detailed methodologies for initial volume planning, computing optimal submission timelines (month-picking), coordinating group author contributions, and managing the revision bandwidth. It is essential for maintaining rigorous scheduling and mitigating the risk of missed deadlines in fast-paced research environments.

A comprehensive workflow guide for managing the entire academic research cycle of a major conference, such as the Web Conference. It details key milestones, backward planning strategies from abstract deadlines, fallback options (Short Papers, Web4Good), and capacity planning tips to ensure timely and successful submission and publication.

This router is designed to guide researchers through the complex, multidisciplinary workflow of writing a manuscript for World Development (WD). It helps users determine the correct next step—whether the paper is quantitative, purely qualitative, or mixed-methods—at every stage, from initial topic selection and literature positioning to robust revision, rebuttal, and final submission. It ensures the work meets the high bar of real-world development relevance.

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.

This comprehensive guide outlines the annual workflow for submitting research papers to major AI/NLP conferences, such as WSDM. It details critical milestones, including abstract deadlines, paper submission, conference logistics, and strategies for alternative tracks (short papers, demos). It is essential for researchers managing their academic publication timeline and coordinating with neighboring venues.

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.

This orchestrator manages the entire end-to-end pipeline for preparing technical talks, transforming raw materials—whether code commits (REX mode) or conceptual articles—into polished revision sheets. It sequentially runs through multiple stages (Research, Concepts, Scripting, Revision) with human-in-the-loop checkpoints, ensuring a structured and comprehensive content creation workflow.

This skill manages the complex, multi-step workflow for updating the company's threat intelligence database. It delegates the core research and content updates to the dedicated AgentSec system. The process involves reading AgentSec's source material, executing rigorous testing in an isolated workspace, synchronizing the validated security feed, and finally ensuring data integrity by validating the updates across the guide and landing mirrors.

Resume paused or context-limited experiments by reading full history and results. Lists available experiments, loads configuration and git context, summarizes current state including metrics and patterns, then prompts for next action like single iteration or autonomous loop. Supports engineering optimization workflows.

Generate structured Markdown notes from academic papers (PDF, URL, DOI) with deep analysis, argument reconstruction, and figure placeholders. Optimized for Obsidian vaults and research workflows, ensuring high-quality evidence-based summaries in multiple languages.

Hivemind is an advanced orchestration layer designed to manage complex tasks using a parallel swarm of external, low-cost workers. It simulates a structured team workflow (scout, coder, tester) to decompose large problems, execute subtasks in isolated worktrees, synthesize aggregated results, and perform consensus reviews. This dramatically reduces token costs and enhances reliability for large-scale coding, research, and testing tasks.

This skill establishes a rigorous, verification-first methodology for citing jurisprudence from the ICTY, ICTR, and IRMCT. It mandates multi-level checks (existence, content, paragraph) against authoritative databases (irmct.org, UCR) and sources to ensure legal claims are accurate and non-misrepresentative. It guides users through a structured workflow for high-stakes legal research.