📊Reporting Skills
Browse the best Reporting skills for Claude Code, Codex, Cursor and other AI agents.
407 skills · Page 3 of 17
health-trend-analyzer
★ 58分析一段时间内健康数据的趋势和模式。关联药物、症状、生命体征、化验结果和其他健康指标的变化。识别令人担忧的趋势、改善情况，并提供数据驱动的洞察。当用户询问健康趋势、模式、随时间的变化或"我的健康状况有什么变化？"时使用。支持多维度分析（体重/BMI、症状、药物依从性、化验结果、情绪睡眠），相关性分析，变化检测，以及交互式HTML可视化报告（ECharts图表）。
data-analysis
★ 57Analyze CSV and tabular data, create summaries, and generate insights
canvas-morning-check
★ 38Educator morning course health check. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Use when educator says "morning check", "course status", "how are my students", or at the start of a teaching day.
analytics-metrics
★ 37Build data visualization and analytics dashboards. Use when creating charts, KPI displays, metrics dashboards, or data visualization components. Triggers on analytics, dashboard, charts, metrics, KPI, data visualization, Recharts.
data-analysis
★ 32Analyze datasets and generate insights from data.
validation-report-generator
★ 32Generate structured 8-section validation reports with verdict (GOOD/BAD/NEEDS MAJOR WORK), strengths, critical flaws, blindspots, and concrete path forward. Use after strategic-cto-mentor has completed validation analysis and needs to produce final deliverable.
ltv-predictor
★ 32基于RFM模型和回归算法的客户生命周期价值(LTV)预测分析工具，支持电商和零售业务的客户价值预测。使用时需要客户交易数据、订单历史或消费记录，自动进行RFM特征工程、回归建模和价值预测。
funnel-analysis
★ 32Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
data-exploration-visualization
★ 32自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。
revenue-health-dashboard
★ 31Visualization blueprint for revenue KPIs, guardrails, and action callouts.
cohort-analysis
★ 31Standard method for slicing bookings, pipeline, and retention cohorts for diagnostics.
exec-briefing-kit
★ 31Template for packaging revenue analytics into concise exec/board narratives.
exec-dashboard-blueprint
★ 31Layout and storytelling guide for marketing analytics executive dashboards.
retention-dashboard
★ 31Use to visualize churn, expansion, and health metrics across cohorts.
executive-briefing-kit
★ 31Framework for packaging competitive updates into executive-ready narratives and action plans.
dashboard-playbook
★ 31Best-practice kit for BI dashboard layout, storytelling, and adoption.
executive-kpi-briefings
★ 31Template pack for summarizing BI insights for ELT/board stakeholders.
instrumentation
★ 31Use when defining events, fields, and governance for GTM analytics pipelines.
visualization-patterns
★ 31Use when designing dashboards, reports, and narratives for GTM stakeholders.
pandas
★ 26Expert data analysis and manipulation for customer support operations using pandas
time-series-analysis
★ 25Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
kpi-dashboard-design
★ 25Design and build dashboards that track key performance indicators. Select relevant metrics, visualize data effectively, and communicate insights to stakeholders.
data-visualization
★ 25Create effective visualizations using matplotlib and seaborn for exploratory analysis, presenting insights, and communicating findings with business stakeholders
cohort-analysis
★ 25Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis