Free alternatives to statistical-analysis
50 free AI Skills apps to use instead, best rated first.
Top picks
- B
batch-grill-me
Getbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- W
webapp-testing
GetNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
- C
content-research-writer
GetAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O
openhue
Getopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- I
implement
Getimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F
frontend-design
GetDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
More AI Skills apps
About statistical-analysis
statistical-analysis
Apply statistical methods including descriptive stats, trend analysis
Statistical-analysis is an agent skill that applies common statistical methods to business and research data. It covers descriptive statistics, trend analysis, outlier detection and hypothesis testing, and it also includes guidance on when a statistical claim should be treated with caution. Its methodology section explains how to choose a measure of center for the shape of the data. The mean is the most efficient estimate for symmetric data without outliers, the median is robust when data is skewed, and the mode is the only option for categorical or ordinal data. For highly skewed business metrics such as revenue per user, the skill recommends reporting the mean and the median together, because the gap between them shows how skewed the data is. It is useful when you want to check that a number you are about to report describes the data fairly. The skill is part of Anthropic's knowledge-work plugins.
- Price
- Free
- Made by
- anthropics
- Category
- AI Skills
- Website
- github.com/anthropics/knowledge-work-plugins/statistical-analysis