Free alternatives to exploratory-data-analysis
50 free AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative 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
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
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openhue
Launchopenhue 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
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batch-grill-me
Launchbatch-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
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implement
Launchimplement 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
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frontend-design
LaunchDistinctive, 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
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About exploratory-data-analysis

exploratory-data-analysis
Perform comprehensive exploratory data analysis on scientific data files across
exploratory-data-analysis is an agent skill from the davila7 claude-code-templates collection, listed on skills.sh. It performs an exploratory data analysis of scientific data files across more than 200 file formats, in several domains. The skill detects the type of each file automatically, then runs analysis specific to that format, extracting metadata and assessing data quality and integrity. It reports statistical summaries and distributions, suggests visualisations and points to downstream analyses that the data could support. The results are written as a markdown report, which is suitable for documentation and for planning the next analysis. The skill's own text says when to use it, so the agent loads it for work on scientific data files rather than for general coding. It suits researchers and data scientists who receive an unfamiliar scientific data file and need a first report on what is in it before they start modelling.
- Price
- Free
- Made by
- davila7
- Category
- AI Skills
- Website
- github.com/davila7/claude-code-templates/exploratory-data-analysis
