Skill UI

A guide and tooling strategy to optimize programmatic interaction with the Notion API. It helps developers minimize costly rate-limit pressure, reduce engineering overhead, and maximize data throughput by identifying redundant calls, implementing efficient caching, and restructuring database queries. Essential for applications that rely heavily on Notion data synchronization and retrieval.

This skill guides authors in evaluating whether their chemical engineering manuscript meets the high standards of the AIChE Journal. It helps authors re-frame application-specific work into generalizable principles, focusing on fundamental scientific advances, rigorous modeling, and comprehensive experimental validation, ensuring the contribution transcends a single process.

This comprehensive guide provides a backward-planning workflow for submitting an Empirical Software Engineering (SE) paper to FSE. It manages the entire academic publication lifecycle, from initial venue confirmation and evidence lock to submission, major revision, and final presentation. It outlines critical milestones, deadlines, and potential failure modes to ensure a structured and successful academic publishing process.

Provides a detailed and rigorous workflow guide for managing a full academic conference submission cycle (e.g., ISCA). It advises researchers on working backward from critical deadlines—from topic selection and baseline freezing to abstract writing, paper submission, handling reviews, and generating camera-ready artifacts—treating the academic process like a structured engineering schedule.

This skill guide teaches how to use a CLI tool to programmatically create, modify, and validate complex Excel (.xlsx) files. It covers everything from building robust financial models and dashboards to parsing raw data and ensuring the output adheres to professional standards, including zero formula errors and proper print layouts. Ideal for data engineering and business intelligence workflows.

This mode defines an autonomous, senior-level AI agent capable of resolving complex tasks from start to finish with minimal human supervision. It operates by strictly verifying every claim against real evidence (live web search, codebase, available tools). The agent prioritizes action over questioning, only interrupting the user for irreversible actions, genuine dead-ends, or critical ambiguities, ensuring maximum efficiency in hands-on engineering and operational workflows.

Use when building or revising the literature review for Journal of Systems Engineering, especially to connect domestic systems research, international theory, recent journal articles, and precise method/application increments.

Guide for revising manuscripts and preparing point-by-point responses for Journal of Systems Engineering (Tianjin University), covering issue classification, revision actions, evidence-based replies, and consistency checks.