Skill UI

A comprehensive guide for drafting constrained author responses during major technical conference review periods (e.g., SOSP). Learn how to effectively correct factual errors and answer direct reviewer questions while strictly adhering to word limits and avoiding the introduction of new data or future work promises. Focus on precision and clarity for the Program Committee.

A comprehensive model detailing the rigorous evaluation process for submissions to STOC (Symposium on Theory of Computing). It covers the committee structure, the roles of program committee members and external subreviewers, the key evaluation axes (Correctness, Significance, Breadth, Novelty), the typical timeline, and strategic advice for authors on maximizing their leverage throughout the double-blind review process.

A comprehensive skill designed to assess the suitability of a manuscript for The BMJ (British Medical Journal). It provides expert guidance on journal positioning, required methodological rigor (e.g., CONSORT, PRISMA, STROBE compliance), open data commitments, structured abstract requirements, and the specific standards necessary for submission to a leading, patient-centered, evidence-based medical journal. Use this to re-frame and optimize your research paper before submission.

This guide provides a strategic framework for drafting author responses to challenging peer reviews in academic conferences. It teaches authors how to structure replies by addressing four key axes (Correctness, Novelty, Backing, Clarity), ensuring technical precision, maintaining anonymity, and framing commitments that survive the subsequent Area Chair (AC) discussion phase.

A comprehensive guide detailing the strategy, structure, and tactical writing needed for successful academic conference rebuttals (e.g., UIST). Learn how to manage character limits, prioritize factual corrections, promise concrete changes, and structure arguments to survive committee skimming, maximizing your chances of acceptance.

A comprehensive guide to navigating the UIST (User Interface Software and Technology) academic review pipeline. It details every stage, from initial submission and expert review to the rebuttal phase and final committee decisions. The guide teaches authors how to critically analyze reviewer feedback, identify evidence gaps, strengthen novelty claims, and strategically plan for conditional acceptance or resubmission.

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.

This tool provides a comprehensive, multi-faceted audit of a codebase's health. It scores the project across critical areas like security vulnerabilities, exposed secrets, dependency risks, and structural integrity. Ideal for senior engineers performing pre-commit or pre-release quality assessments to identify weak spots and generate a prioritized remediation plan.

This tool restores project context, crucial after a session clear. It comprehensively analyzes Git history, summarizing recent commits, tracking uncommitted changes, scanning for outstanding TODOs/FIXMEs, and verifying the current project structure. It helps developers quickly re-establish the full working context to resume work efficiently.

This script automates the Git push process, ensuring safety checks (e.g., preventing direct pushes to main branches) and verifying uncommitted changes. Upon successful push, it dynamically generates and displays direct tracking links for CI pipelines on major platforms like GitLab and GitHub Actions, providing immediate status updates for development teams.

This tool provides a unified interface to run test suites for various programming stacks (Python, Node.js, Rust) within a CI/CD pipeline. It automatically detects the project's environment (by checking lock files or config) and executes the appropriate testing framework (e.g., pytest, vitest, cargo test), ensuring consistent code quality checks regardless of the underlying language. Ideal for pre-commit or CI/CD integration.

This tool performs a comprehensive analysis of AI configuration file evolution within a Git repository. It tracks when specific AI configs were first introduced, charts monthly commit velocity related to AI features, highlights key PRs that shaped the development, and synthesizes the project's AI maturity phases. Ideal for mapping AI adoption timelines and assessing technical maturity.