modal
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
npx skills add K-Dense-AI/scientific-agent-skills --skill modal --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Modal ## Overview Modal is a cloud platform for running Python code serverlessly, with a focus on AI/ML workloads. Key capabilities: - **GPU compute** on demand (T4, L4, A10, L40S, A100, H100, H200, B200) - **Serverless functions** with autoscaling from zero to thousands of containers - **Custom container images** built entirely in Python code - **Persistent storage** via Volumes for model weights and datasets - **Web endpoints** for serving models and APIs - **Scheduled jobs** via cron or fixed intervals - **Sub-second cold starts** for low-latency inference Everything in Modal is defined as code — no YAML, no Dockerfiles required (though both are supported). ## When to Use This Skill Use this skill when: - Deploy or serve AI/ML models in the cloud - Run GPU-accelerated computations (training, inference, fine-tuning) - Create serverless web APIs or endpoints - Scale batch processing jobs in parallel - Schedule recurring tasks (data pipelines, retraining, scraping) - Need persistent cloud storage for model weights or datasets - Want to run code in custom container environments - Build job queues or async task processing systems ## Installation and Authentication ### Install ```ba
- Overview
- When to Use This Skill
- Installation and Authentication
- Install
- Authenticate
- Core Concepts
- App and Functions
- Container Images
- GPU Compute
- Volumes (Persistent Storage)
- Secrets
- Web Endpoints
- Scheduled Jobs
- Scaling and Concurrency
uv pip install modal modal setup export MODAL_TOKEN_ID=<your-token-id> export MODAL_TOKEN_SECRET=<your-token-secret>
What does the modal skill do?
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.
How do I install it?
Run `npx skills add K-Dense-AI/scientific-agent-skills --skill modal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From K-Dense-AI/scientific-agent-skills, a repository with 32,619 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.