Skill UI

A universal motivation skill that pushes an AI to stop stalling, search and verify proactively, and pursue end-to-end solutions for debugging, research, writing, planning, deployment, and more.

PIP kicks in when tasks fail repeatedly or the assistant becomes passive, layering Western big-tech performance rhetoric, a systematic debugging methodology, and proactivity enforcement so every code, ops, research, deployment, or writing task is owned, verified, and driven to completion.

Breaks complex software, writing, or research work into small atomic tasks, supplying dependency graphs, milestone breakdowns, and templates so you can plan projects, split features, and organize large workstreams step by step.

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

Write competitive research proposals for NSF, NIH, DOE, DARPA, and NSTC. Covers agency-specific formatting, review criteria, budgets, broader impacts, significance, innovation, and compliance.

A comprehensive coach designed to guide students and researchers through the entire scholarly writing lifecycle. This skill covers structuring complex academic works—including research papers (IMRaD), theses, dissertations, grant proposals, and conference abstracts. It teaches fundamental writing principles, proper source integration, avoiding plagiarism, and navigating diverse citation styles (APA, MLA, Chicago, GB/T 7714), helping users develop an independent, professional academic voice.

Conduct comprehensive systematic literature reviews across biomedical and scientific domains using multiple academic databases. Synthesize findings, verify citations, and generate professional markdown or PDF documents. Includes AI-generated scientific schematics for visual enhancement. Ideal for research synthesis, meta-analyses, and thesis writing.

This comprehensive skill guides users through the entire lifecycle of developing AI agent skills. From initial concept (Understand) to structured design, writing the core skill logic, rigorous testing, and final performance optimization. It ensures skills are robust, accurate, and highly triggerable across any domain, including engineering, content creation, and research.

This tool generates a complete, publication-quality LaTeX fragment for a specific section of a research paper (e.g., Introduction, Method, Results). It strictly adheres to provided writing plans, structural conventions, citation budgets, and overall paper narratives, ensuring the output is ready for direct compilation and seamless integration into a full document.

This tool processes raw search results and bibliography entries to generate a highly structured and curated source pack for long-form academic papers. It categorizes sources into primary, supporting, and weak/excluded sources, ensuring the resulting literature review is reliable, diverse, and methodologically sound. Essential for academic writing workflows.

A comprehensive set of 21 literature-backed rules for AI agents to write clear, professional English technical prose. Optimized for research papers, documentation, proposals, and release notes. Improves clarity, grammar, and citation discipline while avoiding clichés and passive voice.

This advanced skill generates complete, highly structured grant proposals and funding applications tailored to funder priorities. It moves beyond generic writing by producing detailed sections including project summary, problem statement, SMART objectives, methodology, measurable impact outcomes, and a comprehensive budget narrative. Use this when applying for research grants, charitable funding, or innovation funds to maximize your chance of securing necessary resources.