Skill UI

This skill implements advanced 'Gatekeeper' logic to optimize AI agent performance in long-running workflows. It prevents context window bloat by sharding metadata, allocating token budgets, and enforcing Atomic Precision to deliver purely functional, filler-free responses. Ideal for complex coding, multi-step reasoning, and large document analysis where conciseness is critical.

This tool audits the token consumption across all components (agents, skills, rules, MCP servers) within a Claude Code session. It analyzes token overhead, identifies bloat (e.g., overly long descriptions, redundant components), and generates a detailed context budget report. Use it to maintain optimal context window usage, improve performance, and prevent context saturation.

This skill transforms unstructured task lists into a disciplined, protected daily schedule. It implements the Deep Work methodology by classifying tasks into deep and shallow categories, budgeting shallow work time, and creating an energy-first time-blocked plan. It enforces strict limits, such as a 4-hour deep work ceiling, ensuring focus remains the protected resource throughout the day. Includes logging and end-of-day shutdown rituals.

A comprehensive guide for structuring and writing academic rebuttals for major conferences. It details time budgeting, how to address common reviewer objections with concrete evidence, and best practices for maintaining professional credibility throughout the intense review cycle.

This guide provides detailed reporting norms for reducing and analyzing complex Earth and Planetary Science Letters (EPSL) data, specifically focusing on isotope geochemistry and geochronology. It mandates full uncertainty budgeting, proper statistical interpretation (e.g., MSWD, weighted means), and thorough model diagnostics to ensure results are scientifically defensible and reproducible.

A comprehensive project management guide for submitting data-intensive systems papers to ICDE. It details the two-round submission cycle, setting milestones from initial evidence locking (mechanisms, workloads) to final IEEE Xplore publication. This workflow helps researchers backward-plan the entire data-engineering lifecycle, budgeting time for revisions and mitigating common submission risks.

This comprehensive checklist guides academic authors through the final compliance checks for submitting a manuscript to the Journal of the Association for Information Systems (JAIS). It covers critical elements such as double-blind anonymization, adherence to APA-6 formatting, confirming manuscript category and length budgeting, and ensuring the inclusion of required components like SEM matrices, minimizing the risk of administrative rejection.

A comprehensive, final checklist for authors submitting manuscripts to the Journal of Public Economics (JPubE) via Editorial Manager. This guide covers critical submission details, including formatting requirements (250-word abstract, author-date references), required declarations (AI use, data availability), fee budgeting, and common submission pitfalls. Use this preflight guide right before hitting 'submit' to ensure compliance and avoid desk rejection.

A comprehensive guide for authors preparing their accepted KDD paper for ACM proceedings. It covers the entire production pipeline, including page budgeting (9 content pages, 3 pages for references/appendix), managing e-rights and TAPS uploads, de-anonymization steps, and ensuring proper Digital Library metadata for final publication.

This guide outlines the rigorous standards for writing top-tier distributed systems conference papers. It details the mandatory narrative arc—moving from an operational pain point to a named design principle—and emphasizes that every claim must be supported by precise, measured evidence (e.g., percentiles and specific workloads) rather than relying on superlatives or vague adjectives. It also provides guidance on structuring the argument, budgeting page space, and designing figures as core evidence.

This comprehensive guide outlines the entire lifecycle of submitting and revising academic papers for major conferences like OOPSLA. It details strategic decisions, such as choosing between October or March submission rounds, managing the state machine (Accept, Minor, Major Revision, Reject), budgeting time for necessary revisions, and planning post-publication artifacts and talks. Essential for academic research teams.

Provides detailed strategies for authors responding to peer reviews in top-tier academic conferences like SIGMOD. It covers the distinct rules for the mid-round feedback phase and the formal revision letter, emphasizing structured responses, mandatory change highlighting, maintaining anonymity, and strategic content budgeting.