cattoken-report
Generate detailed token usage report with threshold analysis and recommendations
Generate detailed token usage report with threshold analysis and recommendations
基于每周六截止的年度累计CSV数据,精确计算车险业务16个核心KPI指标。接受原始CSV数据,执行聚合和计算,输出完整的KPI结果。当用户提到"计算KPI"、"KPI计算"、"赔付率"、"边际贡献"、"指标"时使用。
Use when editing docs/index.html, creating charts with Plot, adding SQL cells, loading data with FileAttachment, or building visualizations. Triggers on any editing of docs/index.html, Observable notebooks, or front-end visualization work.
Core Mediana package functions for Clinical Scenario Evaluation (CSE). Use when designing data models, analysis models, evaluation models, and running comprehensive trial simulations.
This skill should be used when the user asks "Chart.js tooltips", "Chart.js tooltip callbacks", "custom Chart.js tooltip", "HTML tooltip Chart.js", "Chart.js tooltip formatting", "Chart.js tooltip position", "Chart.js tooltip label", "external tooltip", "Chart.js tooltip styling", or needs help configuring tooltips in Chart.js v4.5.1.
For leaders evaluating dashboards, metrics, or AI-generated reports to determine if they measure reality or generate confident-looking noise (Potemkin maps). Helps identify gaming potential, blind spots, and whether you should trust a metric more, less, or differently. Use when implementing new metrics, questioning existing dashboards, evaluating vendor claims, or when something feels off about your data. Keywords: dashboard audit, metrics, KPIs, gaming, Goodhart's law, AI reports, data quality, measurement validity, blind spots, Potemkin, are my metrics real, can I trust this data
Cross-source metric validation and discrepancy investigation. Use when metrics from different sources don't match, investigating data quality issues between systems, or validating data migration accuracy.
Teach meta-analysis of diagnostic test accuracy studies including sensitivity, specificity, SROC curves, and bivariate models. Use when users need to synthesize diagnostic accuracy data, understand SROC curves, or assess quality with QUADAS-2.
Generate and execute Python code to analyze large log datasets, detect patterns, and extract actionable insights
Create D3 questions with static line graphs and coordinating table inputs. Students read graphs and fill in corresponding values.
Эксперт A/B тестирования. Используй для статистических тестов, экспериментов и ML-оптимизации.
生成专业金融图表(K线图、技术指标图)。适用于数据可视化、技术分析展示、报告生成等场景。支持多种图表类型(basic、comprehensive)和自定义样式(深色、浅色主题)。
This skill should be used when the user asks "Chart.js accessibility", "accessible charts", "WCAG Chart.js", "Chart.js ARIA labels", "Chart.js screen reader", "colorblind-safe charts", "Chart.js keyboard navigation", "Chart.js reduced motion", "prefers-reduced-motion Chart.js", "Chart.js alt text", "Chart.js color contrast", "accessible data visualization", "Chart.js focus management", "Chart.js fallback content", "aria-label canvas", or needs help making Chart.js visualizations accessible and WCAG-compliant in v4.5.1.
KINTSUGI quantification plots: Always save QC heatmaps and profiles as PDF
Generate well-formatted markdown tables from data. Use when creating documentation tables or formatting tabular data.
Identifies and filters test/dummy revenue data from real customer transactions across all revenue streams (affiliates, gallery, subscriptions).
Deep methodology knowledge for STC including outcome regression approach, effect modifier selection, covariate centering, and comparison with MAIC. Use when conducting or reviewing STC analyses.
R 4.4+ development specialist covering tidyverse, ggplot2, Shiny, and data science patterns. Use when developing data analysis pipelines, visualizations, or Shiny applications.
Generates RALPH charts (factor-level analysis diagrams) for HAYST method test design. Use when designing combination tests, identifying test coverage gaps, or analyzing system behavior factors.
This skill should be used when working with marimo reactive notebooks for data science and analytics. Triggers include: - Creating new marimo notebooks - Converting Jupyter notebooks to marimo - Editing existing marimo notebooks - Implementing reactive patterns and UI components - Building interactive data visualizations with marimo
Fetches and processes NBA player and team statistics. Use when the user wants to analyze basketball data for the sports picker model.