Skills for your AI
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
Generate test report. Use when user says "test report", "results summary", "test status", "show results", "test dashboard", or "how did tests go".
Generate professional data reports with charts, tables, and visualizations
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
Reviews and validates Obsidian vault enhancements for report accuracy, metadata consistency, link quality, tag standardization, MOC completeness, and image organization, reporting exact metrics without modifying files. Use when checking enhancement agent repor
Guides business analysts through risk identification, assessment, prioritization, mitigation, monitoring, and reporting. Use when analyzing project or operational risks, building risk management plans, running risk assessments, scenario analysis, or risk train
Turns risk data into assessed, prioritized, and actionable risk intelligence with mitigation, monitoring, and reporting. Use when the user needs risk data analyzed, risks ranked, mitigations planned, risks monitored, risk reports or training built, or risk sce
Guides business development managers through identifying, evaluating, prioritizing, mitigating, monitoring, communicating, and reporting business initiative risks, and through designing automated risk assessment tools. Use when assessing risks for a new market
Prioritizes risk-based testing by identifying critical areas, ranking tests by risk, building risk matrices, designing risk-based test cases, managing defects, and reporting coverage. Use when a QA tester needs to plan, prioritize, or report testing based on r
Guides process improvement analysts through root cause analysis, from data collection and pattern analysis to hypothesis testing, prioritization, action planning, and reporting. Use when the user needs to gather and analyze data, identify or prioritize root ca
Installs the rtk token-compression proxy on a host, mounts it into agent group containers, adds a PreToolUse Bash hook, and reports verified token savings. Use when wiring rtk into agent groups, adding the rtk hook, restarting containers to apply it, or report
Tracks, analyzes, and counters rumors and misinformation for crisis communications teams, covering monitoring, debunking messaging, stakeholder engagement, rapid response, spokesperson training, and impact reporting. Use when rumors or false information are ci
SaaS business metrics analysis - MRR, ARR, Churn, LTV, CAC, cohort analysis, and investor reporting
SaaS financial health advisor. Use when a user shares revenue or customer numbers, or mentions ARR, MRR, churn, LTV, CAC, NRR, or asks how their SaaS business is doing.
Cleans, analyzes, models, and visualizes raw sales data into reports, forecasts, dashboards, and segmentations. Use when the user provides sales data or asks for data cleaning, EDA, forecasting, dashboards, aggregation, segmentation, time series analysis, corr
Turns sales data into targets, KPIs, forecasts, dashboards, and review reports. Use when a sales manager needs targets set, data analyzed, KPIs chosen, dashboards designed, tracking automated, reviews prepared, benchmarks compared, forecasts built, or competit
Critically appraises research studies and scientific claims for methodology, bias, statistics and evidence quality using GRADE and Cochrane Risk of Bias. Use when the user asks to critique a study design, check for biases, evaluate statistical methods, rate ev
Produces publication-ready scientific figures (line plots, multi-panel figures, statistical comparison plots, heatmaps) and exports them at journal-required formats and dimensions. Use when the user provides data and asks for a figure, plot, or journal-ready e
Analyzes biological sequences, alignments, phylogenetic trees, and diversity metrics with scikit-bio, including ordination and permutation-based statistical tests. Use when the user needs sequence manipulation, pairwise or multiple alignment, tree construction
Fits, evaluates, and interprets survival models on censored time-to-event data with scikit-survival, covering data preprocessing, model selection, C-index/AUC/Brier scoring, Kaplan-Meier and Nelson-Aalen estimation, and competing risks. Use when a user supplie
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use w
Designs and maintains scalable data pipelines, ETL/ELT jobs, data models, orchestration, and data quality checks. Use when the user needs pipeline architecture, ETL/ELT scripts, data quality validation, performance optimization, data modeling, orchestration, s
