Skill UI

A comprehensive skill for managing AWS operational excellence, cost governance, and observability. It provides guidance on pre-deployment cost estimation (TCO), detailed spending analysis using Cost Explorer, setup of CloudWatch alarms, auditing activity via CloudTrail, and overall security posture assessment. Essential for optimizing cloud spending and ensuring reliable infrastructure.

This skill provides comprehensive monitoring advisory services for data assets and AI agents. It helps users assess data coverage gaps, analyze use-case criticality, and automatically create data quality monitors (table, metric, validation). Furthermore, it enables monitoring of AI agent performance, latency, and observability, ensuring robust data governance across the entire ML lifecycle.

This skill analyzes your data warehouse to pinpoint stale, unused, or redundant tables that contribute to unnecessary storage costs. It classifies waste patterns (e.g., Zombie, Temporary) and computes safety tiers, helping users understand which assets can safely be dropped or archived to optimize spending and improve data governance.

This skill monitors operational costs against defined budgets by reading accumulated spending and computing utilization. It emits a detailed 4-tier alert ladder (INFO, WARNING, CRITICAL, HARD_STOP) based on predefined thresholds (50%, 75%, 90%, 100%). It is essential for cost governance, ensuring resources are managed within budget limits, and preventing system overspending.

Reconcile code, docs, rules, memory, and workspace residue so the next session starts from one current source of truth. Best for project handoff, stale documentation, and closing out knowledge drift.

This tool facilitates bi-directional synchronization of marketing data (contacts, deals, campaigns) between connected CRM platforms, including Salesforce, HubSpot, Zoho, and Pipedrive. It ensures a single source of truth for sales and marketing by handling automatic field mapping, data deduplication, compliance validation (e.g., GDPR), and advanced conflict resolution. Designed for complex, enterprise-grade data governance, this method replaces manual CSV imports for reliable, governed data transfers.

This skill provides authors with a comprehensive guide to positioning their computer science manuscript for the AAAI/ACM Conference on AI, Ethics, and Society (AIES). It covers critical aspects such as framing the contribution, meeting evidence standards, addressing social impacts, and distinguishing the work from similar venues like FAccT. Use it to refine submissions focused on AI ethics, governance, and socio-technical methods.

This comprehensive guide details the methodological requirements for building a robust robustness section in accounting and empirical research manuscripts. It covers four critical pillars: substituting accounting measures, controlling for institutional/governance variables, executing placebo tests, and advanced endogeneity follow-ups. It helps authors ensure their primary findings withstand stringent academic scrutiny.

This guide helps researchers elevate general empirical ideas (e.g., 'X affects Y') into rigorous, theory-driven accounting contributions. It outlines four sources of academic contribution, identifies key areas (auditing, financial accounting, governance), and teaches how to anchor research in specific accounting mechanisms and China's institutional context, meeting the standards of top-tier accounting journals.

This skill serves as an expert academic advisor for researchers targeting high-level journals, specifically focusing on the 'Auditing Research' journal. It assesses the suitability of a manuscript (covering auditing, accounting, or corporate governance) against the journal's specific positioning, required structure, common pitfalls, and theoretical depth. It helps authors optimize their writing, improve academic rigor, and determine the best publication venue.

This skill provides expert guidance for authors submitting manuscripts to the Bulletin of Chinese Academy of Sciences (CAS). It helps assess the strategic altitude, policy relevance, and decision-making utility of the work, ensuring alignment with the journal's high-level focus on national S&T strategy, governance, and major projects. It includes structural checks, common rejection pitfalls, and alternative journal suggestions.

This skill provides a comprehensive guide for authors targeting the *China Public Administration Review*. It details the journal's academic scope, preferred research topics (e.g., governance, policy reform, digital government), required methodology, structural format, and common submission pitfalls. It helps users refine their manuscript to meet the high academic standards of a CSSCI-level journal.