Skill UI

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

A sophisticated tool for Operations Leaders (CX, Support, BizOps) to model team capacity, headcount requirements, and utilization risk. Built on Erlang-C queueing theory and Little's Law, it provides capacity sizing (P50/P90/P99), utilization health checks, and a detailed 12-month quarterly hiring plan that accounts for ramp-up and attrition. Use it for annual planning and budget defense.

This powerful orchestrator guides the planning, funding, scoping, and synthesis of enterprise research across four critical domains: clinical R&D, finance, market analysis, and product usability. It acts as a central hub, routing complex inquiries to specialized sub-skills and generating structured digests with actionable insights and critical 'grill challenges' for operational rigor.

This skill guides the operation, consolidation, and maintenance of complex working systems within Google Workspace (Docs, Sheets, Slides). It emphasizes treating files as integrated systems—such as trackers or planning hubs—requiring careful inspection, precise edits, and structural cleanup rather than simple content rewriting. Use it for consolidating scattered data, cleaning shared spreadsheets, or ensuring the correct canonical version of a document is utilized.

This skill provides comprehensive strategies for implementing sustainable business growth loops. It covers Product-Led Growth (PLG) optimization, designing viral loops, optimizing referral programs, and improving user retention mechanics. Use this when planning product launches, scaling user bases, or building complex acquisition funnels.

Transforms complex raw campaign data and performance metrics into a cohesive, executive-level QBR presentation. This tool structures performance retrospectives, identifies root causes for underperformance, quantifies ROI, and develops data-backed strategic recommendations for the next quarter. Ideal for client reviews, leadership updates, and strategic planning sessions.

A comprehensive guide detailing the end-to-end workflow for submitting research papers to top-tier academic conferences, such as the ACM SIGOPS ATC. It provides a backward planning structure, covering critical stages from initial system freezing and extended abstract writing, through multi-round peer review, rebuttal preparation, artifact evaluation, and final camera-ready submission.

This comprehensive guide outlines the entire lifecycle of submitting and revising academic papers for major conferences like OOPSLA. It details strategic decisions, such as choosing between October or March submission rounds, managing the state machine (Accept, Minor, Major Revision, Reject), budgeting time for necessary revisions, and planning post-publication artifacts and talks. Essential for academic research teams.

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

Practical FinOps controls to reduce AWS spend: rightsizing, autoscaling, Savings Plans and Reserved Instance planning, storage lifecycle policies, budget and anomaly alerts, and cleanup of idle resources using AWS CLI.

A comprehensive workflow bundle covering the entire cloud-native development lifecycle. It guides users through critical phases, including cloud infrastructure setup (AWS, Azure, GCP, Terraform IaC), container orchestration with Kubernetes, robust CI/CD pipeline automation, observability implementation, security hardening, cost optimization, and disaster recovery planning. This ensures best practices across all stages of modern application deployment.