Skill UI

This skill acts as a compatibility alias for pull request (PR) creation. It is designed to handle requests using the legacy name 'create-pr', redirecting the user to the canonical and updated workflow found in 'sentry-skills:pr-writer'. Use this when referencing the old skill name to ensure the latest PR writing standards are applied.

This skill provides a systematic methodology for detecting Command and Control (C2) beaconing patterns in network traffic. It utilizes advanced statistical techniques, including Coefficient of Variation (CV) and jitter analysis, applied to network flow logs (Zeek, proxy, firewall). It is crucial for proactive threat hunting and incident response to identify compromised endpoints communicating periodically with malicious infrastructure.

This skill enforces a rigorous, 5-phase debugging protocol (Reproduce, Isolate, Root Cause, Fix, Verify) for AI coding agents. It forces a disciplined approach, preventing agents from guessing fixes or making premature edits. Use this when debugging complex, intermittent, or hard-to-isolate bugs to ensure the root cause is fully confirmed before any code changes are applied, maximizing debugging accuracy.

A comprehensive guide and code pattern for configuring ClickHouse instances across development, staging, and production environments. It emphasizes best practices for infrastructure-as-code (IaC), secure secrets management (integrating AWS Secrets Manager, Vault, etc.), and ensuring environment-specific settings are correctly applied for reliable data analytics pipelines.

A comprehensive guide for configuring and integrating the Cohere API v2 across development, staging, and production environments. This pattern ensures environment-specific settings—including API keys, model selections, token limits, and caching strategies—are correctly applied. It covers best practices for secure secret management using tools like Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring robust and scalable deployments.

A comprehensive preflight checklist for authors submitting manuscripts to the American Economic Journal: Applied Economics (AEJ: Applied) via the AEA ScholarOne system. It guides authors through verifying critical elements like front matter, JEL codes, data policy compliance, required fees, and disclosure statements, ensuring the manuscript is fully prepared before the final submission.

This guide helps researchers determine if their microeconomic theory, model, or experiment is suitable for American Economic Journal: Microeconomics (AEJ: Micro). It provides a structured framework for evaluating the contribution's scope, assessing broad microeconomic interest, and differentiating the appropriate venue from competing specialist journals like JET, Econometrica, or AEJ: Applied.

This skill serves as a comprehensive guide for authors submitting papers to Communications on Pure and Applied Mathematics (CPAM). It helps authors assess the theoretical depth, mathematical rigor, and suitability of their work—especially in PDEs, analysis, and mathematical physics—for a top-tier journal. It covers scope fitting, proof standards, and submission best practices.

A comprehensive guide for positioning econometric research papers for submission to The Econometrics Journal (EctJ). It emphasizes making the novelty legible to both econometricians and applied users by focusing on a leading-case contribution within a stringent 20-page limit. Techniques include defining the 'Frontier layer' and 'Use layer' of related work, and placing citations strategically to maximize impact and demonstrate a sharp, applied delta.

A comprehensive guide for authors targeting IEEE Transactions on Information Theory. It assesses whether a manuscript meets the journal's extremely high theoretical standards, focusing on theorem-driven proofs, matching achievability and converse arguments, and fundamental information-theoretic limits (e.g., channel capacity, rate-distortion). Ideal for authors needing a fit check or re-framing applied results into foundational theory.

This guide helps researchers determine the optimal conference or journal venue for their software engineering contribution. It specifically addresses whether the core of the work is a testing or analysis technique evaluated on real subjects (ISSTA), or if it fits better within broader Software Engineering (ICSE/FSE), formal verification (PLDI/CAV), or applied domains.

This guide helps researchers determine if their I-O psychology project is suitable for the Journal of Applied Psychology (JAP). It provides a rigorous framework to pressure-test the fit by assessing four critical criteria: theoretical contribution, measurement rigor, applied relevance, and cumulative footing. It is essential for structuring the research question and selecting the appropriate article type before deep investment.