Skill UI

Enforces a verification-first routine: identify the proving command, rerun it fully, inspect the output, and cite its evidence before claiming tests, builds, or tasks are complete; keeps handoffs honest and avoids false satisfaction.

This meta-skill orchestrates complex, multi-step job search workflows, moving beyond simple advice. It is designed for concrete tasks such as tailoring resumes to specific job descriptions (JDs), building complete application packs, preparing for named interviews, comparing multiple job roles, or maintaining an organized application tracker. It focuses on producing reviewable artifacts and never performs automatic applications.

This agent provides a critical framework for navigating corporate environments, contrasting internal jargon and process visibility (Ding In) with objective, real-world evidence and user experience (Ding Out). It helps users move beyond subjective 'feelings' or polished reports, structuring complex tasks into verifiable components: Goal, Acceptance Criteria, Action, Evidence, and Risk. Ideal for project management, status reporting, and critical thinking in a corporate setting.

This guide provides comprehensive steps for preparing a camera-ready version of an accepted academic conference paper, such as those for the PACMMOD PODS track. It covers essential tasks including complete de-anonymization, applying final journal formatting, integrating required revisions, populating detailed metadata (ORCID, DOI, CCS concepts), and ensuring the full version is correctly posted and cross-linked on arXiv.

This guide outlines the comprehensive steps required to convert an accepted, anonymous academic paper into its final, published 'camera-ready' version for major conferences (e.g., RecSys). It covers crucial tasks such as restoring author details, affiliations, funding, integrating rebuttal promises, ensuring proper ACM two-column reflow, and managing public code/data repository release.

This comprehensive guide details the critical 'Camera-Ready' stage for manuscripts accepted by *Scientia Sinica Informationis* (SSI). It provides authors with a detailed checklist, covering everything from correcting citations, formatting figures, and reviewing references, to completing administrative tasks like copyright agreements and paying publication fees. Use this guide to ensure your final submission is flawless and ready for professional publication.

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.