Skill UI

This guide details the comprehensive process of transforming a reviewed, double-blind academic paper into a final, IEEE-published camera-ready manuscript and a conference talk. It covers crucial steps including de-anonymization, applying the official IEEE template and rights forms, integrating reproducibility badges, confirming DOIs, and structuring the presentation content for the winter slot.

A comprehensive guide for researchers preparing exhibits for high-impact journals like JCR. It details best practices for summarizing multi-study experimental packages, presenting complex statistical results (mediation, moderation, simple slopes), and developing conceptual figures while adhering to strict house style (Chicago Manual of Style) and page limits. Focuses on maximizing data clarity and earning space through effective visualization.

A guide for transforming complex academic models, propositions, and numerical findings into actionable, model-backed managerial insights for high-level journals. It emphasizes deriving explicit decision rules based on parameter thresholds and ranges, strictly avoiding vague policy slogans or general statements of importance.

This tool guides the transformation of academic manuscripts, particularly in the social sciences, from a policy-report or work-summary tone into a rigorous scholarly argument. It helps users replace vague slogans and empty claims with concrete theoretical mechanisms, ensuring the writing maintains a scholarly, restrained, and macro-perspective, and that every paragraph centers on a discernible core proposition.

This skill serves as a deterministic internal downloader for image URLs extracted from comprehensive web search results. It receives normalized media slots and search output via stdin, utilizing Python HTTP APIs to download direct image links. The process includes validating MIME types and saving files accurately into the configured local project directory, ensuring reliable asset retrieval without relying on sandboxed shell tools.

Orchestrates a robust, multi-stage cyber defense pipeline using specialized AI agents to analyze raw log files (e.g., nginx, auth, syslog). The system ingests logs, detects anomalies, classifies overall risk, and generates a comprehensive, actionable incident report, making it ideal for security investigations and breach analysis.