Data analysis, machine learning, LLM apps, and prompt design (8.9K skills)
This skill should be used when the user asks to "evaluate LLM output quality", "set up LLM-as-judge", "build an eval rubric", "compare model outputs pairwise", or "measure agent quality".
The English summary is being prepared. Showing the original description.
MLOps across model deployment, ML pipelines, monitoring, and feature stores. Use when deploying models to production, building training pipelines, setting up drift detection, configuring feature stores, or automating ML CI/CD workflows.
The English summary is being prepared. Showing the original description.
Data science across machine learning, statistical modeling, and experimentation. Use when selecting ML algorithms, engineering features, designing A/B tests, evaluating model performance, or building predictive pipelines.
The English summary is being prepared. Showing the original description.
Applied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction. Use when interpreting an experiment, sizing a study, or vetting a claim.
The English summary is being prepared. Showing the original description.
Data analysis across SQL, visualization, statistics, and reporting. Use when writing SQL queries, building dashboards, performing cohort or funnel analysis, running hypothesis tests, or presenting data-driven recommendations.
The English summary is being prepared. Showing the original description.
Business intelligence across dashboard design, visualization, and reporting automation. Use when designing dashboards, building KPI frameworks, automating reports, creating data stories, or optimizing BI tool performance.
The English summary is being prepared. Showing the original description.
Analytics engineering across data modeling, dbt, transformation, and semantic layers. Use when building dbt models, designing star schemas, writing staging or mart SQL, configuring data tests, or optimizing warehouse queries.
The English summary is being prepared. Showing the original description.
Data leadership advisor on data strategy, governance, quality, and platform decisions. Use when defining a data strategy, scoring data maturity, auditing data governance, evaluating a data platform, or designing the data org.
The English summary is being prepared. Showing the original description.
Trace bugs and manual fixes back to kits and prompts; fix at the source so the iteration loop can reproduce the fix autonomously. Six-step revision process plus the single-failure backpropagation protocol. Use when a manual hot-fix has been applied, when convergence stalls, or when the same class of bug keeps reappearing.
The English summary is being prepared. Showing the original description.
Analyze event logs, clickstreams, user paths, product funnels, retention, behavioral segments, transition graphs, step matrices, sequence patterns, and customer journeys using Retentioneering. Use when the user provides CSV, Parquet, pandas, or database event data containing user, event, and timestamp columns, or asks why users convert, churn, loop, abandon a flow, or follow particular product paths. Do not use for qualitative journey-mapping workshops or aggregate website traffic without user-level event sequences.
The English summary is being prepared. Showing the original description.
Comprehensive global knowledge worker salary data with total market value calculations, sector breakdowns, geographic comparisons, and authoritative sources. USE WHEN discussing knowledge worker compensation, salary benchmarking, economic analysis of professional labor markets, or AI impact on wages.
The English summary is being prepared. Showing the original description.
Bioinformatics-specific data operations using Polars DataFrames
The English summary is being prepared. Showing the original description.
High-performance DataFrame operations for large-scale data analysis
The English summary is being prepared. Showing the original description.
Interactive scientific data visualization with Plotly
The English summary is being prepared. Showing the original description.
Quantum machine learning and differentiable quantum computing
The English summary is being prepared. Showing the original description.
Neuropixels probe electrophysiology data processing and analysis
The English summary is being prepared. Showing the original description.
Mass spectrometry data matching, comparison, and spectral similarity analysis
The English summary is being prepared. Showing the original description.
Biological data management and lineage tracking with LaminDB
The English summary is being prepared. Showing the original description.
Integration with OMERO bio-image data management platform
The English summary is being prepared. Showing the original description.
Parallel web scraping and data collection from multiple sources
The English summary is being prepared. Showing the original description.
Generate structured clinical reports from patient and study data
The English summary is being prepared. Showing the original description.
Access NCI Imaging Data Commons for medical imaging datasets
The English summary is being prepared. Showing the original description.
Hypothesis generation from scientific literature and data patterns
The English summary is being prepared. Showing the original description.
Genomic interval machine learning for regulatory element analysis
The English summary is being prepared. Showing the original description.