modal Skill
Serverless GPU cloud for ML jobs and model APIs. Published by NousResearch in hermes-agent.
Decision snapshot
Is this a fit?
Deployment, Data analysis, Design and media, Includes SKILL.md
Compatibility not yet detected.
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Copy skill directory
21 days ago · MIT license
No specific cautions were detected. Review the source and requested permissions before installing.
What is modal Skill?
Serverless GPU cloud for ML jobs and model APIs. Published by NousResearch in hermes-agent. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Deployment
- Data analysis
- Design and media
- Deployment use cases
- Data analysis use cases
Declared skill metadata
- Declared author: Orchestra Research
- Declared license: MIT
- Source file: optional-skills/mlops/modal/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use modal Skill
- Use it for deployment.
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: NousResearch
- Repository: NousResearch/hermes-agent
- Skill file: optional-skills/mlops/modal/SKILL.md
What it does
Serverless GPU cloud for ML jobs and model APIs.
Skill instructions
Modal Serverless GPU Guide to running ML workloads on Modal's serverless GPU cloud platform. When to use Modal Use Modal when: - Running GPU-intensive ML workloads without managing infrastructure - Deploying ML models as auto-scaling APIs - Running batch processing jobs (training, inference, data processing) - Need pay-per-second GPU pricing without idle costs - Prototyping ML applications quickly - Running scheduled jobs (cron-like workloads) Key features: - Serverless GPUs: T4, L4, A10G, L40S, A100, H100, H200, B200 on-demand - Python-native: Define infrastructure in Python code, no YAML - Auto-scaling: Scale to zero, scale to 100+ GPUs instantly - Sub-second cold starts: Rust-based infrastructure for fast container launches - Container caching: Image layers cached for rapid iteration - Web endpoints: Deploy functions as REST APIs with zero-downtime updates Use alternatives instead: - RunPod: For longer-running pods with persistent state - Lambda Labs: For reserved GPU instances - Sk
Verified compatibility and discovery
Frequently asked questions
What is modal?
modal is a open-source AI agent skill with Copy skill directory. Serverless GPU cloud for ML jobs and model APIs.
Who is modal best for?
modal is best for reusing agent instructions, scripts, and references, deployment workflows, data analysis workflows, design and media workflows.
How do I install modal?
Install or run modal using Copy skill directory. Check modal for the latest setup command.
Is modal actively maintained?
modal may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
