Skill UI

Acts as a collaborative writing partner, helping you build outlines, research with citations, improve hooks, and review each section so blogs, tutorials, thought leadership, and docs get polished without losing your voice.

Details how to research context, structure homepage or landing copy, and follow clarity/benefit-driven rules so every headline, CTA, and section pushes visitors toward a single conversion.

Guides researchers through drafting publication-ready machine learning papers for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM by combining expert writing philosophy with LaTeX templates, citation verification APIs, and collaborative workflows.

A structured workflow designed to prevent 'reinventing the wheel.' Before writing custom code, this skill guides the user through analyzing needs, conducting parallel searches across multiple channels (npm, PyPI, GitHub, MCP), evaluating candidate solutions based on maintainability and community support, and making a decision (Adopt, Extend, or Custom Build). It ensures that solutions leverage existing, proven libraries and patterns.

Pydicom is a Python toolkit for reading, writing, and manipulating DICOM medical imaging files, helping teams extract pixel data, manage metadata, anonymize records, convert to standard formats, and integrate with PACS workflows in healthcare research and radiology applications.

Craft competitive research proposals for NSF, NIH, DOE, DARPA, and Taiwan NSTC by aligning narratives with agency review criteria, detailing budgets, personnel plans, and broader impacts, and incorporating required AI-generated schematics via the scientific-schematics skill.

Guides research teams through a two-stage manuscript workflow: outline sections with research-lookup, enforce IMRAD structure, citation styles, figures, and reporting guidelines, then convert into polished prose for journals.

This skill implements an autonomous, multi-round research review loop, simulating the rigorous peer-review process of top-tier conferences. It iteratively reviews, identifies weaknesses, suggests fixes, and re-reviews a research document using the MiniMax API. The system manages state persistence across multiple rounds, ensuring continuous improvement until a 'ready' assessment is achieved or the maximum round limit is reached. Ideal for academic writing, thesis refinement, or comprehensive project documentation.

Generates a structured paper outline from review conclusions and experiment results. Supports multiple venues (ICLR, NeurIPS, ICML, etc.), optional style reference from a source paper, and produces a gap report. Ideal for researchers planning papers before writing.

Drafts a LaTeX research paper section by section from an outline plan. Automatically applies venue-specific formats (ICLR, NeurIPS, CVPR, ACL, AAAI, ACM, IEEE), fetches real BibTeX records from DBLP/CrossRef to avoid hallucinated citations, enforces page-limit and anonymity conventions, and optionally profiles a reference paper for structural style. Use when moving from a paper plan to a complete LaTeX draft.

Deep research and scientific writing assistant that produces LaTeX/BibTeX documents with verified citations for papers, proposals, reports, and reviews, ensuring well-formatted, citation-backed outputs for academic or clinical contexts.

Turns research ideas into complete grant proposals for KAKENHI, NSF, NSFC, ERC, DFG, SNSF, ARC, NWO, and generic formats. Supports novelty checking, structural design, drafting, simulated peer review, revision, budget planning, timeline development, and agency-specific formatting with multilingual output.