Modal
Skill Verifiziert AktivCloud computing platform for running Python on GPUs and serverless infrastructure. Use when deploying AI/ML models, running GPU-accelerated workloads, serving web endpoints, scheduling batch jobs, or scaling Python code to the cloud. Use this skill whenever the user mentions Modal, serverless GPU compute, deploying ML models to the cloud, serving inference endpoints, running batch processing in the cloud, or needs to scale Python workloads beyond their local machine. Also use when the user wants to run code on H100s, A100s, or other cloud GPUs, or needs to create a web API for a model.
To enable AI agents to leverage Modal for deploying and scaling Python applications, especially AI/ML models, on cloud infrastructure with GPU support.
Funktionen
- Serverless GPU compute on demand
- Custom container image builds
- Persistent storage via Volumes
- Web endpoints for APIs and models
- Scheduled jobs and batch processing
Anwendungsfälle
- Deploying AI/ML models to the cloud
- Running GPU-accelerated workloads
- Serving inference endpoints
- Scaling Python code beyond local machines
Nicht-Ziele
- Managing infrastructure outside of Modal
- Providing a general-purpose CI/CD platform
- Replacing local development environments entirely
Voraussetzungen
- Python 3.11+ installed
- uv (Python package manager) installed
- An AI agent supporting the Agent Skills standard
- Modal CLI installed (`uv pip install modal`)
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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