Skills tagged spreadsheets: 19 agent skills for Claude Code

• ab-test-analysis — Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations.
• aws-billing-and-cost-management — Analyze AWS costs, find savings, manage budgets, evaluate Savings Plans and Reserved Instances, right-size EC2/Lambda/RDS/EBS with Compute Optimizer.
• cohort-analysis — Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights.
• douban-skill — Export and sync Douban (豆瓣) book/movie/music/game collections to local CSV files via Frodo API.
• dummy-dataset — Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script).
• excel-automation — Create, parse, and control Excel files on macOS.
• feishu-doc-scraper — Extract Feishu (Lark) Docs, Wiki pages/collections, spreadsheets.
• ideal-customer-profile — Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs.
• knap — Render Markdown from templates and structured data using Knap CLI.
• market-sizing — Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches.
• metrics-dashboard — Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds.
• north-star-metric — Define a North Star Metric and 3-5 supporting input metrics that form a metrics constellation.
• obsidian-bases — base files) with views, filters, formulas, and summaries.
• pandas-pro — Performs pandas DataFrame operations for data analysis, manipulation, and transformation.
• pricing-strategy — Analyze and design pricing strategies including pricing models, competitive pricing analysis, willingness-to-pay estimation, and price elasticity.
• sentiment-analysis — Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights.
• sql-queries — Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects.
• user-segmentation — Segment users from feedback data based on behavior, JTBD, and needs. Identifies at least 3 distinct user segments.
• xlsx — Use this skill any time a spreadsheet file is the primary input or output.