Skill UI

Draft a LaTeX paper section by section from a paper plan and narrative report. Automatically applies venue-specific styles for ICLR, NeurIPS, ICML, CVPR, ACL, AAAI, ACM and IEEE formats, fetches real BibTeX from DBLP/CrossRef to avoid hallucinated citations, and runs reviewer-backed section reviews.

This tool extracts and standardizes comprehensive paper-writing preferences from a user's initial request. It determines whether the generation should proceed directly using safe academic defaults or if it needs to initiate a preference interview, ensuring all structured data required for robust academic drafting is captured.

This guide provides comprehensive strategies for drafting and revising highly technical academic papers for top-tier conferences like ASPLOS. It focuses on structuring the core argument around cross-layer insights, ensuring claims are quantifiable and bounded, and optimizing the entire manuscript to survive rapid peer review and strict page limitations.

A comprehensive, single-cycle master calendar and workflow guide for major academic conferences like ICSE. It details the entire ten-month journey, covering mandatory milestones from abstract submission and full paper drafting to author response, revision sprints, and final camera-ready preparation. This guide helps research teams plan backward, mitigate timeline risks, and manage complex project dependencies.

A comprehensive project management guide for navigating the complex, multi-cycle academic submission process, such as for the PODS conference. It details backward-planning milestones, covering venue fit, abstract submission, full-paper drafting, rebuttal, revision rounds, and final arXiv publication. Ideal for authors managing theoretical research papers.

Covers best practices for writing highly technical academic papers, particularly in programming language theory. It guides authors on structuring their work to build a strong 'ramp' from initial concrete programs and informal motivation to rigorous formal proofs and theorems, ensuring clarity and avoiding common pitfalls like unmotivated formalism or ambiguous notation.