Skill UI

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.

Generates a comprehensive and actionable UX research plan for any product feature or question. This skill covers the entire research lifecycle, including defining objectives, selecting methodology (e.g., usability testing, interviews), creating participant screeners, writing discussion guides, and structuring a synthesis framework. Ideal for product managers and UX researchers needing a structured approach to validate assumptions and drive design decisions.

This comprehensive skill guides the creation of high-quality technical content specifically tailored for developers. It covers the entire devrel content lifecycle: from researching topic validation (community signals, competitor gaps) to selecting the ideal content type (tutorial, guide, case study). The framework emphasizes deep technical accuracy, structured outlines (Hook, Meat, CTA), and writing runnable, copy-paste ready code examples to build trust and drive adoption.

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.

A comprehensive guide for structuring and writing high-quality AI research manuscripts intended for major academic conferences (e.g., AAAI). It teaches how to structure the first page for maximum impact, clearly state contributions (method, theory, system, etc.), ensure two-column readability, and address ethical limitations to appeal to a broad, non-specialist committee audience.

A comprehensive guide designed to help researchers determine the optimal conference or journal venue (e.g., AAMAS, NeurIPS, ICML, EC) for multi-agent AI research. It emphasizes that the contribution must center on the interaction result—such as mechanism design, coordination, or negotiation—rather than simply applying a single-agent method in a multiagent testbed. This tool sharpens the research framing before writing begins.

A comprehensive guide for revising complex multi-agent research papers for top-tier conferences. It emphasizes an 'interaction-first' approach, ensuring the unique contribution is highlighted on the first page. The guide mandates naming solution concepts, making the game legible, and rigorously pairing every major claim with a formal proof, self-play, or deployment experiment.

A comprehensive guide on writing literature reviews and related work sections, specifically tailored for high-impact journals like Acta Automatica Sinica (AAS). It teaches authors how to frame their research by focusing on the incremental contribution (delta), moving beyond simple literature listing to establish clear gaps, contrasting current limitations, and rigorously defining the work's novelty in a structured manner.

This skill guides users through the process of assessing if their academic manuscript aligns with the scope and standards of *Accounting and Economics Research*. It covers journal positioning, required structure (abstract, citations), methodological rigor, and common pitfalls, helping researchers optimize their writing for specific academic venues.

A comprehensive guide for NLP researchers on strategically positioning their work before writing. It teaches how to determine the core linguistic contribution, select the optimal academic venue (ACL, EMNLP, etc.), manage the scope (long vs. short papers), and align the research focus with specific conference themes and review expectations, maximizing publication impact.