Skills for your AI
Performs actuarial predictive analytics on insurance data, covering data preparation, model selection and interpretation, risk and pricing, claims and fraud detection, segmentation, forecasting, compliance reporting, underwriting automation, and churn predicti
Builds, validates, and maintains actuarial risk models from data collection through reporting, scenario analysis, and catastrophe or domain-specific modeling. Use when an actuary needs claims data cleaned, predictors selected, models compared, scenarios simula
Helps QA managers plan, execute, and report agile testing work across automation, BDD, TDD, exploratory testing, ATDD, shift-left, test data, environments, metrics, pair testing, and risk-based testing. Use when planning tests, writing scenarios or test cases,
Calculates ROI for AI implementation projects from owner-supplied cost and labor inputs, producing metrics, sensitivity and comparison scenarios, and a roi-analysis.md report. Use when asked to build an AI ROI analysis, compute payback period, NPV, or 12-month
Retrieves AlphaFold-predicted protein structures by UniProt ID, downloads PDB/mmCIF and confidence files, and reports pLDDT and PAE metrics. Use when the user asks for an AlphaFold prediction, a structure file, a confidence profile, a bulk proteome archive, or
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use
Create professional, dark-themed SVG diagrams of any type — architecture diagrams, flowcharts, sequence diagrams, structural diagrams, mind maps, timelines, illustrative/conceptual diagrams, and more. Use this skill whenever the user asks for any kind of techn
Guides data scientists through big data analysis workflows including cleaning, exploration, modeling, anomaly detection, clustering, NLP, recommendations, time series, dimensionality reduction, and visualization. Use when the user needs to preprocess a dataset
Manages BigQuery datasets, tables, jobs, and SQL queries via the bq and gcloud command-line tools. Use when the user wants to create, list, or delete datasets or tables, run SQL queries, list or cancel jobs, or enable the BigQuery API in their Google Cloud pro
Analyzes biodiversity data from documents, datasets, and imagery to produce impact and risk assessments, metrics and monitoring frameworks, mitigation strategies, stakeholder engagement plans, reports, and policy research. Use when assessing a project's or com
Analyzes process data, logs, and metrics to find bottlenecks, determine root causes, map workflows, and plan and monitor fixes. Use when the user shares process data or asks to identify delays, inefficiencies, root causes, resource constraints, Lean Six Sigma
Turns business data into analysis, forecasts, reports, dashboards, and recommendations. Use when the user needs trends or sentiment mined from raw data, a formal report, a dashboard or visualization, a forecast, metric monitoring, competitor comparison, custom
Guides energy engineers through carbon footprint assessment, from data collection and emissions calculation to impact analysis, reporting, monitoring, offsetting, and reduction strategy. Use when planning, executing, or reporting a carbon footprint assessment
Plans organizational change work—stakeholder analysis, communication, resistance, training, metrics, feedback, risk, implementation, readiness, and change teams—producing structured plans, assessments, and draft materials. Use when the analyst needs to plan or
Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
Generates charts, dashboards, and network, time series, text, cohort, funnel, and model visualizations from user-provided data, with a short interpretation of each. Use when the user wants a chart, dashboard, or visual analysis built from their data.
Turns chemical datasets, structures, simulation outputs and process information into accurate plots, dashboards, 3D structures and infographics. Use when the user needs chemical data analyzed, visualized, or explained.
Collects, cleans, monitors, analyzes, and reports on insurance claim event data, covering anomaly alerts, predictive models, trend visualization, fraud detection, resource allocation, compliance, automation, sentiment, and pricing. Use when an insurance data a
Analyzes insurance claims customer feedback into sentiment, categories, trends, dashboards, reports, segments, anomalies, surveys, responses, and predictions. Use when a claims manager asks to analyze, categorize, summarize, visualize, segment, flag, survey, r
Analyzes insurance claims data, monitors trends, reviews claims, supports investigations, and builds fraud training and reporting materials. Use when claims managers need suspicious pattern detection, red-flag claim review, investigation reports, policy gap an
Helps secondary teachers with attendance, seating charts, behavior plans, rules, transitions, conflict resolution, group work, differentiation, and parent communication. Use when a teacher needs classroom management tasks drafted, planned, or organized.
Installs, configures, tests, and runs clidash, a read-only web dashboard that builds tabs and tables from any CLI's JSON output. Use when the user wants to set up clidash, tailor its config, verify it works, run it as a service, or troubleshoot its endpoints.
Generates a prioritized client health report with weighted health scores, RAG status, trend direction and actionable recommendations from CRM, support, usage, billing and communication data. Use when asked for a client health report, client risk review, churn-
Generates, validates, optimizes, embeds, and organizes code snippets for web developers, including templates, integration guidance, analytics frameworks, and repository blueprints. Use when a developer asks for a snippet in a specific language, needs embeddabl
