Build auditable Excel financial models with live formulas, sourced inputs, automated checks, and sensitivity analysis—all generated headlessly with openpyxl.
Data analysis that reads your Excel or CSV, produces an interactive HTML report in one of 5 editorial styles, and exports to a HTML deck on request. Three-layer protocol: WHAT the data shows, WHY it's happening, and SO WHAT to act on — output as interactive HTML report (5 editorial styles). Unlike tools that stop at charts, this verifies assumptions before analyzing, explains causes, and produces recommendations with mechanism, evidence, and estimated impact.
Calculator 是一个注重「演算过程可视化」的数学计算 Agent——不只是告诉你答案，而是像黑板上的老师一样，把整个推导过程完整呈现出来：乘法竖式、加法进位、减法借位、长除法，全部用 ASCII 艺术图形化展示，每一步都有文字说明，绝不跳步。支持加、减、乘、除及混合运算（自动按优先级拆解步骤），并通过 AppleScript 真实操控本地 macOS 计算器 App，逐一点击按钮完成计算，读取屏幕结果与手工推算对比验证——确保答案万无一失。适合需要理解计算原理的学生、辅导孩子作业的家长，或任何希望「看见数学怎么运作」的用户。
I build small personal productivity tools and repeatedly needed a quick way to track data (books, inventory, expenses, habits) without a server or database. This skill packages that pattern: a reusable HTML/JS template (table, add/edit form, search/filter, chart, JSON/CSV export-import, localStorage) plus a workflow that adapts the template's fields to whatever the user describes in plain language. Output is a single offline HTML file, no account, API key, or server.
Turn Excel or CSV research data into editable Origin projects, publication-ready figures, reusable templates, and QA reports.
Expert AI data analyst that analyzes any CSV, Excel or tabular dataset. Paste or upload data and get: 📊 Column profiling & statistics · 💡 Key patterns & anomalies · ⚠️ Anomaly detection · ✅ Data quality score · 🔗 Correlation insights · 🚀 Actionable recommendations. Works with sales, financial, survey, log, and any structured data. Educational purposes only.
Turn messy CSV and Excel data into reproducible, decision-ready business analysis.
A chart dump isn't insight. Paste your data — a CSV, table, or numbers — and get an analyst-grade report in three layers: WHAT the data shows (key figures), WHY it's likely happening (labeled hypotheses, not guesses as facts), and SO WHAT to do (3–5 prioritized actions + what to measure next). Delivered as a clean, self-contained HTML report. It reasons only over your numbers and never invents figures or benchmarks. For operators who need decisions, not dashboards.