Skill UI

This comprehensive guide details the rigorous process of transforming a submitted ITCS paper into the final, open-access LIPIcs camera-ready version. It covers critical steps including switching to the required `lipics-v2021` LaTeX class, fully re-attributing author identity (names, ORCIDs, funding), completing structured metadata (ACM CCS, keywords), incorporating reviewer-suggested fixes, and ensuring compliance with strict production standards set by the Dagstuhl editorial office.

This skill guides authors on whether their chemistry review proposal is suitable for Nature Reviews Chemistry. It evaluates the fit against the journal's rigorous standards, focusing on conceptual synthesis, authoritative framing, pedagogical figures, and the required commissioned approach, ensuring the work is a map of a field rather than a literature dump.

This skill provides comprehensive guidance for authors targeting Living Reviews in Relativity (LRR), a high-impact journal for authoritative, continuously updated review articles in relativity and gravitation. It covers the journal's unique 'living' model, required evidence standards, scope definition, house style, and the long-term commitment required to create a definitive, pedagogical survey article.

Orchestrate AI/ML workflows including data ingestion, model training, batch inference, and RAG indexing using tools like Prefect, Airflow, or Dagster. Essential for managing complex AI systems and automating ML pipelines.

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

Provides a Python SDK workflow for creating container-based hosted agents in Azure AI Foundry using ImageBasedHostedAgentDefinition. Covers installation, authentication, agent creation, versioning, resource allocation, and tool configuration.

This skill provides explicit, pedagogical instruction on complex CrossFrame concepts. It is designed to move beyond simple definitions by structuring the output into plain language explanations, conceptual mapping, common misreading boundaries, real-world signals, and practical exercises. It is ideal for users who need deep, structured, and comprehensive understanding of complex theoretical frameworks.

Build container-based hosted agents using Azure AI Projects SDK and ImageBasedHostedAgentDefinition. Covers installation, authentication, agent versioning, resource allocation, protocol versions, and tool configuration in Azure AI Foundry.

Provides comprehensive guidance for building end-to-end MLOps pipelines, covering data preparation, training, validation, deployment, and monitoring with DAG orchestration tools like Airflow, Dagster, and Kubeflow.

This skill acts as a specialized tutorial engineering specialist, transforming raw, complex technical concepts or codebases into structured, progressive, and engaging educational content. It applies pedagogical design principles, such as progressive disclosure, spaced repetition, and hands-on exercises, to create documentation, courses, and onboarding materials that teach users how to build, debug, and optimize, rather than just referencing information.

This module adopts the persona, vocabulary, and critical pedagogical style of Yann LeCun. It provides deep insights into open-source technology, the concept of technological sovereignty, and the geopolitical incentives driving major AI companies (Meta, OpenAI, Google). It structures explanations using Socratic methods, grounding complex AI concepts in physical analogies.