Free alternatives to modal
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
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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 modal

modal
Modal is a serverless cloud platform for running Python on demand
modal is an agent skill for Modal, a serverless cloud platform for running Python on demand, including on-demand GPUs, with a focus on AI and machine learning workloads. The skill covers deploying and serving models, running Python functions in the cloud, and the platform's main features. These include GPU compute on demand, with the platform listing H100, H200, B200 and B300 GPUs, serverless functions that scale from zero to thousands of containers, custom container images defined in Python, and persistent storage through Volumes for model weights and datasets. It also covers web endpoints for models and APIs, and scheduled jobs on a cron or a fixed interval. Container reuse and warm pools reduce cold starts, though loading a model still takes time. Modal Apps and Images are defined in Python, and existing Dockerfiles are supported too. Use it when you need to run a Python workload that needs a GPU or scales with demand, without managing servers. Check the platform's terms and costs before you deploy. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,800 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/modal
