Skill UI

This skill simulates a cloud cost optimization expert specializing in reducing infrastructure expenses across AWS, Azure, and GCP. It analyzes complex cloud spending patterns, identifies waste, overprovisioning, and potential savings opportunities. It provides actionable recommendations, implements cost controls, and proposes cost-effective, reliable architectures, ensuring cost efficiency without sacrificing performance or reliability.

Tycana keeps task context across Claude conversations, capturing new work items, planning the day, tracking patterns, and offering energy-aware recommendations that deepen with each sync through MCP.

Automates daily planning by integrating with your calendar (e.g., Outlook via WorkIQ). It pulls your schedule, cross-references open tasks, analyzes workspace context, and classifies every meeting (Customer, Deep Work, Learning, etc.). The tool detects scheduling conflicts, identifies time zone issues, and generates a structured HTML prep file with proactive recommendations to maximize focus and productivity for the next day.

Guides Copilot through the WorkIQ CLI/MCP server to fetch live Microsoft 365 data—emails, meetings, docs, Teams chatter, and people info—providing context, summaries, blockers, and follow-up recommendations for planning or action.

A comprehensive skill designed to process and organize incoming emails. It classifies messages using a predefined user taxonomy, researches new senders, generates decision recommendations, drafts replies (without sending), and updates a knowledge base with learnings. Ideal for running on a recurring schedule (1-3 times daily) or on demand to maintain an organized inbox.

This tool analyzes historical sprint velocity data to generate a comprehensive engineering team health report. It moves beyond simple charts by diagnosing underlying delivery patterns, identifying risks like chronic over-commitment, and assessing story point calibration. The report provides actionable recommendations for improving capacity planning and team predictability.

This tool provides a comprehensive overview of your project's memory usage across all associated memory systems. It reports metrics such as line counts, topic file counts, capacity limits, stale entries, and actionable recommendations to help maintain memory integrity and optimize performance.

This guide assists researchers in transforming empirical findings into high-level, institutionally relevant policy implications for top-tier academic journals (e.g., finance and economics). It teaches how to shift focus from actionable 'recommendations' to theoretical 'implications,' ensuring the policy section is evidence-backed, macro-level, and deeply integrated with the paper's core theory and Chinese context.

This guide assists researchers in transforming academic findings into highly actionable and evidence-based policy recommendations. It specifically addresses the standards required for top-tier journals in public administration, emphasizing the mandatory link between observed 'Discovery' and proposed 'Suggestion' via an underlying 'Mechanism.' It teaches how to avoid generic filler language and structure policy suggestions around specific actors, stages, and concrete actions.

A specialized guide for structuring the policy implications section of high-level finance and trade economics manuscripts. It teaches authors how to move beyond vague suggestions, anchoring policy recommendations in concrete Chinese fiscal, financial, or trade policy tools, and linking them directly to the paper's empirical evidence and mechanisms.

This skill acts as an expert orchestrator and router for authors preparing submissions to the Journal of Public Administration Research and Theory (JPART). It guides users through the entire academic lifecycle, from initial topic selection to final rebuttal. Crucially, it enforces JPART's defining gate: the paper must demonstrate a clear contribution to public-management theory, rather than just presenting strong empirical findings or policy recommendations. Ideal for early-stage conceptualization or when feedback suggests the work lacks theoretical depth.

A detailed guide for authors writing the policy implications section of high-level financial research journals. It teaches how to transform abstract academic findings into concrete, actionable policy recommendations for monetary authorities, regulators, and financial institutions, ensuring suggestions are evidence-based, avoid vague generalizations, and specify clear mechanisms and boundaries.