Skill UI

Guides creating, altering, and validating Snowflake semantic views via the Snowflake CLI, covering connection setup, star-schema modeling, metadata comments/synonyms, temporary validation steps, and post-validation querying for reliable semantic layer delivery.

A universal assistant for conducting deep code reviews across major SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). It rigorously analyzes SQL code for critical vulnerabilities (like SQL injection), performance bottlenecks, maintainability issues, and adherence to industry best practices. Features include security audits, index optimization recommendations, query structure analysis, and schema design validation, ensuring robust and secure database development.

This skill systematically reviews test code to identify and correct common anti-patterns. It detects issues such as flaky tests, overly mocked dependencies (over-mocking), brittle assertions, excessive test size (The Giant), and structural dependencies. It explains the flaw, provides best practices, and suggests refactored, reliable implementations, helping maintain high test quality and stability.

Enforces modern TypeScript patterns during development and reviews, guiding const usage, explicit return types, interface-driven shapes, and avoiding any/var or ignored errors.

This tool reviews user interface (UI) code files to ensure compliance with established Web Interface Guidelines and best practices. Use it when auditing design, checking accessibility, or performing general code reviews to meet industry standards and improve overall product quality. It fetches the latest rules and outputs detailed findings.

This skill provides templates and guidelines for conducting code reviews in Chinese-speaking teams. It helps balance feedback tone, avoiding being too polite or too blunt. It includes priority labeling (must fix, suggest, reference), mixed Chinese-English comment standards, and commit message formats. It also addresses common anti-patterns like excessive politeness or style wars, ensuring code quality without damaging team morale.

This technique allows users to locate game developers or projects indirectly by searching for highly distinctive biographical details. Instead of relying on game databases, it leverages unique phrases, historical events, or personal lifestyle details found in interviews, blogs, or conference talks. It is invaluable when the developer's identity is obscured, requiring deep research using exact-match queries on obscure information.

Consult another agent for help, plans, reviews, or decision support in multi-agent workflows. Explains using list_agents() and chat_with_agent(), background submission and status checks, session ID reuse, and loop-avoidance best practices.

This specialized coach provides comprehensive guidance for finance professionals, covering diverse fields such as investment banking, private equity, asset management, and fintech. It teaches core technical skills (DCF, LBO, 3-statement modeling) and prepares users for rigorous industry recruiting, including case studies and technical interviews. It addresses both Chinese and global financial markets, helping users strategically navigate career barriers and build professional expertise.

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.

Searches BGPT scientific papers by topic or DOI and retrieves claim-level evidence extracted from full text, including experiments, reported statistics, scope, limitations, and provenance. Supports literature reviews and evidence synthesis.

This tool opens the dedicated Context Mode Insight dashboard in your default browser. Insight serves as the central analytics layer for AI-assisted engineering teams, providing crucial metrics such as per-engineer productive rates, identifying retry waste, detecting blockers, and offering role-narrowed performance views. It is designed to be the single source of truth for comprehensive team performance monitoring and sign-in details.