Skills for your AI
Analyzes quality metrics data into trend, benchmark, root cause, predictive, coverage, defect, and performance reports with prioritized improvement recommendations. Use when consolidating scattered quality data, tracking metrics against benchmarks, forecasting
Turns raw quality data into organized datasets, statistics, trend and root-cause findings, SPC checks, forecasts, validation reports, visualizations and action plans. Use when a quality control specialist needs quality data collected, analyzed, charted, foreca
Produces a structured one-page quarterly finance report with KPIs, chart placeholders, a P&L table, highlights, and outlook from figures the user provides. Use when the user wants a quarterly report drafted, validated, or prepared for approval.
Automate QuickBooks accounting workflows including invoicing, expenses, reporting, and bank reconciliation
Runs cost-benefit analysis for R&D projects, from data collection and financial modeling through risk, sensitivity, decision support, reporting, automation, benchmarking, and visualization. Use when an engineer needs to evaluate the financial or strategic viab
Collects, cleans, analyzes, and visualizes research and development data from websites, databases, sensors, and text, including scraping, statistics, machine learning, dashboards, and data quality work. Use when an R&D engineer needs raw data turned into struc
Randomly selects raffle, giveaway, and contest winners from lists, spreadsheets, or Google Sheets with secure randomness, duplicate prevention, weighted odds, runner-ups, exports, and team assignment. Use when picking winners, splitting participants into teams
Creates, queries, and manages Pinecone indexes for production RAG and semantic search, including upserts, deletes, hybrid search, metadata filtering and namespaces. Use when the user asks to create or describe a Pinecone index, upsert or delete vectors, run si
Turns real estate data into market, property, investment, and financial analyses and reports. Use when the broker needs market trends, a CMA, investment returns, sales forecasts, competitor positioning, lead or campaign analytics, survey design, financial repo
Analyzes real estate market data to produce insights, forecasts, segment profiles, competitive landscapes, and client-ready reports. Use when a broker needs sales or listing analysis, neighborhood or segment research, CMA reports, forecasting, sentiment analys
Provides general real estate tax guidance on property classification, assessment appeals, deductions, depreciation, capital gains, rental income, transfers, planning strategies, and state/local/foreign rules. Use when tax analysts ask about real estate tax con
Researches, plans and troubleshoots real estate technology adoption for brokers, covering CRM selection, virtual tours, AI valuation, chatbots, smart home, mobile apps, blockchain transactions, document automation and AR staging. Use when a broker needs tool s
Analyzes Reddit threads for sentiment, key arguments, consensus, and controversial topics, delivering a structured markdown report with exact scores and verbatim quotes. Use when given a Reddit thread URL or asked about Reddit opinions on a topic.
Minimizes total codebase size by biasing toward deletion and measuring end-state code amount. Use when the user explicitly asks to reduce entropy in a codebase, evaluate whether a codebase is minimal, measure lines before and after a change, or find deletion o
Turns historical equipment, maintenance, and sensor data into failure analyses, predictive maintenance schedules, spare parts forecasts, RCM/FMEA plans, root cause reports, and reliability KPIs. Use when a process engineer asks to analyze failures, predict mai
Builds and checks financial models for renewable energy projects, covering data collection, feasibility, scenarios, risk, cash flow, ROI, financing structures, and reporting. Use when the user asks to analyze project financials, model scenarios, project cash f
Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".
Turns raw data and report text into clear, validated reports, documentation, visualizations, and data quality findings for data analysts. Use when asked to chart data, summarize or structure a report, document an analysis, assess data quality, validate against
Runs the full research data workflow — gathering, cleaning, organizing, analyzing, visualizing, and reporting data — for research projects. Use when the user needs data collected from sources, datasets cleaned or categorized, trends and statistics identified,
Designs, builds, and refines research data visualizations including chart selection, interactive plots, dashboards, annotations, color schemes, large-dataset handling, animation, multi-source integration, performance tuning, and specialized views. Use when a u
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense
Analyzes resource inventory, utilization and demand data to produce allocation recommendations, forecasts, risk scenarios, monitoring frameworks, reports and training materials. Use when an operations leader needs resource assessment, demand forecasting, capac
Analyzes project scope, resource availability, utilization, and risks to propose allocation strategies, resolve conflicts, and document decisions. Use when planning staffing for a new project, checking who is free, reviewing utilization, resolving overbooking,
Provides retirement tax planning guidance on contribution limits, RMDs, early retirement, Social Security taxation, Roth conversions, withdrawals, rollovers, QCDs, healthcare, estate planning, and retiree credits. Use when a tax analyst asks about retirement a
