Skill UI

A systematic framework designed for conducting rigorous peer reviews of scientific manuscripts and grant proposals. It provides a structured, checklist-based evaluation covering methodology rigor, statistical validity, reporting compliance (e.g., CONSORT, STROBE), and assesses all sections from abstract to results. Ideal for academic publishing, research quality assessment, and providing detailed, constructive feedback.

This skill simulates a Chief Data Officer's deep interrogation, pressure-testing any plan touching core data strategy. Use it before approving ML model training runs, selecting data infrastructure (warehouse vs. mesh), productizing data assets, or making major team hires. It ensures that all data decisions are grounded in clear business decisions, compliance, and structural necessity.

A comprehensive 13-agent pipeline designed for rigorous, domain-agnostic academic research. It guides the user through the entire research lifecycle, from formulating precise research questions (Socratic mode) and designing methodologies, to conducting systematic literature reviews, performing meta-analyses, source verification, bias assessment, and compiling final APA 7.0 reports. Ideal for academics, researchers, and students needing deep, evidence-based insights on any complex topic.

Generates a comprehensive and structured financial due diligence framework for any investment, M&A, or major partnership. It produces a detailed document request list, key analytical questions, red flags checklist, and a summarized financial health assessment, tailored to specific transaction types and diligence stages.