Alternatives to experimental-design
50 AI Skills apps to use instead, best rated first.
Top picks
- W
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
- C
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
- O
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
- B
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
- I
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
- F
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
More AI Skills apps
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 experimental-design
experimental-design
Designs experiments and studies BEFORE data is collected
experimental-design is an agent skill for planning experiments and studies before any data is collected. It helps choose a design, randomise assignments, block units, and lay out the treatment combinations, so the results can answer the question you care about. The skill is built on three ideas. Randomisation assigns treatments at random so that known and unknown confounders are balanced in expectation, which is what turns a comparison into a causal claim. Replication means independent repetition at the right level, so you can estimate variability, and the skill names pseudoreplication, counting repeated measurements on one unit as independent replicates, as the most common fatal error. Blocking groups similar units, such as by batch, day, site or litter, and randomises within the blocks, which removes known nuisance variation from the noise. The skill then helps you pick among design types and generate the actual randomisation or designed-experiment layout with reproducible scripts. It warns against structural mistakes that make data uninterpretable, and it notes that no analysis can rescue a confounded design afterwards.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/experimental-design