Skill UI

Simulates a highly structured, sequential peer-review process using multiple specialized AI agents (e.g., Skeptic, Constraint Guardian, User Advocate). This skill is designed to rigorously stress-test a design, surface hidden assumptions, identify potential failure modes, and enforce non-functional constraints before implementation. It transforms initial concepts into robust, validated specifications by simulating formal critique and achieving consensus via a mandatory Decision Log.

Structured manuscript and grant review guidance that walks reviewers through methodology, statistics, reporting compliance, and constructive feedback for rigorous scientific evaluation across disciplines.

This skill automates the research refinement process by entering an autonomous, multi-round review loop. It leverages any OpenAI-compatible LLM to score, critique, and guide necessary fixes until the work meets a high, expert-defined standard. It manages state persistence across rounds, simulating the rigorous process of professional peer review.

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.

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.

A specialized tool for searching published, peer-reviewed academic papers from major venues like IEEE, ACM, and Springer. Unlike preprint services (like arXiv), this skill provides verified citation counts, detailed venue metadata, and filtering options for finding established, high-impact research literature. Ideal for formal academic research and literature reviews.

Generates structured peer-review quality critiques of academic papers, covering summaries, methodology scrutiny, contribution evaluation, literature positioning, and recommendations across domains whenever a user requests reviews, analyses, or summaries of research publications.

Assists authorized reviewers in preparing evidence-bounded, constructive peer-review drafts and structured manuscript assessments. Supports reporting-guideline selection, claim–evidence checks, methods, statistics, reproducibility, and ethics critique.

Drafts self-assessments, peer reviews, and upward feedback using WorkIQ evidence from emails, meetings, and contributions. It helps you write honest, impact-focused performance reviews in your own voice with STAR-based structure.

This skill simulates a comprehensive international journal peer review process by dynamically configuring a 5-seat review panel. It includes a Journal-Fit Reviewer, three peer-review roles, and a Devil's Advocate to challenge core arguments. The system automatically identifies the paper's field and methodology, then generates five role-separated review reports followed by a structured Editorial Decision Letter and Revision Roadmap. It supports various modes including full review, re-review, quick assessment, and reviewer calibration, handling inputs in multiple languages.

Orchestrates the complete academic research pipeline from research to publication, coordinating deep research, paper writing, integrity checks, and two-stage peer review with auditable quality assurance artifacts.

This skill transforms a course syllabus (PDF, DOCX, etc.) into a highly curated, supplementary academic reading list. It parses topics and learning outcomes, calibrates content difficulty based on the target audience (undergraduate, graduate, etc.), and searches academic databases (Consensus) for recent, peer-reviewed papers. The output is a professional .docx file containing summaries, links, and advanced discussion questions, making it invaluable for educators and students needing structured, up-to-date course resources.