Free alternatives to autoresearch
50 free 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 autoresearch
autoresearch
Autonomous iterative experimentation loop for any programming task
autoresearch is an agent skill from the github/awesome-copilot collection for running an autonomous experimentation loop on any programming task that has a measurable outcome. The skill is inspired by Karpathy's autoresearch and generalizes it from machine learning training to any task. The user first defines the goal, the metric that measures it, and the scope constraints that limit what may change. The agent then iterates on its own: it modifies code, runs an experiment, measures the result, and keeps the change if it improved the metric or discards it if it did not, repeating until the user interrupts. The skill sets out agent behavior rules that keep the loop disciplined, such as changing only what the scope allows and recording each experiment so the history of what was tried is clear. It is useful for tuning performance, improving a model's score on a test, or reducing the size of a build, wherever the result can be measured automatically. The loop can run for a long time, so the metric must be trustworthy, and the scope should keep the agent away from code that must not change. Because the agent is changing code without a person reviewing each step, the kept changes should be reviewed before they are merged. The skill is installed with the skills CLI from the github/awesome-copilot repository. Its skills.sh page showed about 3.4K installs and passing results from three security audits at the time of the scan.
- Price
- Free
- Made by
- github
- Category
- AI Skills
- Website
- github.com/github/awesome-copilot/autoresearch