Skill UI

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.

This skill guides users through the complete lifecycle of data quality incident management using Monte Carlo MCP tools. It performs detailed investigation, including root cause analysis and blast radius assessment. It then coordinates various external tools (APIs, CLI) to propose and execute appropriate remediation actions, ensuring all data incidents are resolved with full context.

Assess and manage investment risk using the neural-trader risk engine. This tool calculates critical metrics such as Value at Risk (VaR), Conditional VaR (CVaR), and Sharpe ratio for both single positions and entire portfolios. It also optimizes position sizing using methods like Kelly criterion and checks for market circuit breaker triggers (e.g., high correlation spikes or volatility regime shifts) to ensure robust trading decisions and minimize exposure.

A comprehensive guide for authors submitting papers related to web search, ranking, and data mining to WSDM. It provides critical advice on conference fit assessment, proper manuscript re-framing, required evidence (retrieval/ranking baselines, platform-aware evaluation), and how to position the work against competing top venues like SIGIR and KDD.

This comprehensive guide helps authors determine the suitability and necessary framing for research related to environmental contamination. It mandates moving beyond simple pollutant detection, requiring rigorous evidence to connect contaminants to their fate, transport, and demonstrable ecological or human health impact. Essential for method validation, QA/QC, and scientific rigor.

A rigorous self-assessment tool for academic manuscripts in game theory and economic behavior. It guides the identification of core assumptions, tests the logical architecture of proofs, and verifies the generalizability of results. It covers both theoretical proofs (e.g., equilibrium, mechanism design) and experimental designs, ensuring the argument withstands specialist scrutiny.

This skill provides a comprehensive guide for authors submitting clinical, translational, or epidemiological oncology studies to JAMA Oncology. It covers venue fit assessment, required methodological rigor (e.g., RCTs, RWE, biomarker validation), mandatory reporting guidelines (CONSORT, STROBE, PRISMA), and adherence to the journal's specific house style and submission checklist. It is a crucial pre-submission aid, ensuring the research addresses a clinically meaningful, decision-relevant question.

This skill assesses whether a research question or study aligns with the scope of top-tier public economics journals, such as JPubE. It guides the user to evaluate the government's economic role, the welfare implications, and the international generalizability of the findings, providing a critical review pass before submission.

This skill helps authors assess the suitability of their quantitative marketing, econometrics, or industrial organization (IO) paper for the Marketing Science journal. It outlines the journal's high standards, focusing on rigorous formal contributions, credible identification, and appropriate structural framing. Use this tool for pre-submission self-checking, understanding the required methodology bar, and deciding on the best academic venue.

A rigorous pre-submission assessment tool designed to stress-test scientific manuscripts against the high standards of top-tier journals (like Molecular Cell). It evaluates whether the molecular mechanism is deep, proven by orthogonal approaches, and possesses clear physiological relevance. It guides authors on strengthening gaps and determining the most appropriate scientific venue.

Provides rigorous statistical guidance for conducting meta-analyses in academic settings. This skill covers the calculation of standardized effect sizes (e.g., Hedges' g, log odds ratio), selecting appropriate models (defaulting to random-effects or multilevel models), and accurately quantifying between-study heterogeneity (Q, I², τ², and prediction intervals). It ensures the analysis meets state-of-the-art standards for high-impact psychological journals.

This skill guides researchers on whether a proposed research topic is suitable for a high-level synthesis journal (like Psychological Bulletin). It assesses the existing literature's depth, general academic significance, and whether the contribution is synthesizing prior findings. It determines the most appropriate synthesis methodology—such as meta-analysis, systematic review, or qualitative meta-synthesis—by comparing the nature of the pooled data.