Skill UI

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

A comprehensive guide and implementation guide for using the Azure Event Hubs SDK in TypeScript. It demonstrates best practices for high-throughput event streaming, including batch event sending, targeted partitioning, and robust event consumption. Covers advanced features like checkpointing, starting from specific positions, and handling event properties, making it ideal for building scalable, real-time data ingestion pipelines.

Analyzes token implementations and integrations with ERC20/ERC721 standards, checks 20+ weird token patterns, assesses owner privileges, contract composition, and on-chain scarcity to highlight risks before deployment.

This skill details implementing Software Composition Analysis (SCA) using Snyk. It helps security teams detect known vulnerabilities, check license compliance, and automate dependency remediation within CI/CD pipelines. Learn to integrate scanning into GitHub, GitLab, and Jenkins workflows, generate automated fix PRs, and continuously monitor deployed applications to safeguard the software supply chain.

CCPM orchestrates software delivery from PRD through epics and GitHub issues into parallel agent execution, covering planning, decomposition, syncing, workstart, and status checks with mandated script-based reporting.

This skill provides a deep framework for validating the spatial composition and technical integrity of a UI. It moves beyond simple visual checks, emphasizing that the output must be rendered and critically assessed at various viewport sizes. Key focus areas include detecting subtle design flaws like overlaps and imbalances, and most critically, implementing mandatory horizontal overflow checks (`scrollWidth`) to ensure the layout remains flawless across all device widths.

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 workflow router designed for authors submitting manuscripts to the American Economic Journal: Applied Economics (AEJ: Applied). This skill guides the user through every stage of the academic writing process—from initial topic selection and literature positioning to causal identification, robustness checks, polishing, data replication package preparation, and final submission/rebuttal. It acts as a navigational guide, ensuring all critical steps required by top-tier economics journals are addressed in the correct sequence.

This comprehensive guide helps authors stress-test their manuscripts against the highly specialized and rigorous objections typically raised by expert referees for the American Economic Journal: Microeconomics (AEJ: Micro). It provides a crucial checklist to pre-empt common criticisms regarding assumptions, theoretical positioning, proof completeness, and general contribution, significantly improving the manuscript's readiness for submission.

This skill guides the stress-testing of theoretical manuscripts by focusing purely on logical coherence. It helps authors develop robust arguments by verifying proposition chains, running counterfactual thought experiments, addressing rival theories, and identifying disconfirming cases. It ensures the internal consistency and rigor of a theory, independent of empirical data analysis.

A comprehensive guide for authors submitting papers to the ACL conference. It assists in positioning the manuscript, verifying topic fit (NLP, language models, semantics), and ensuring the evidence meets the high standards required for top-tier computational linguistics venues. Covers structure, best practices, and submission checklists.

A comprehensive guide for authors targeting the Annual Review of Astronomy and Astrophysics (ARA&A). It details the journal's unique positioning as a high-impact, invited review venue, emphasizing that it publishes critical syntheses, not primary research. Use this tool to scope, frame, and check the evidence bar, house style, and submission requirements for authoritative, cross-disciplinary astronomical reviews.