modal
This skill guides agents through working with Modal, a serverless cloud platform for AI workloads with GPU access and horizontal scalability.
Identity proven by GitHub's verified organisation badge (modal-labs)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- License unclear
- Pin
- 2071dafpinned Oct 9, 2026
- Context cost
- about 1,200 tokenswhen the skill loads
- GitHub stars
- 522on modal-labs/modal-client
- Scripts
- None found
What it does
“This skill provides guidance for working with the Modal cloud platform. Read this skill before answering any questions about Modal, reading any Modal docs, inspecting the `modal` SDK, or interacting with any code that imports the `modal` SDK in Python, Go, or JavaScript, even for simple tasks you already know how to do. This skill should also trigger when the user needs to run Python code with vertical or horizontal scalability (e.g. batch jobs), needs access to GPUs (e.g. AI workloads including training and inference) or needs to run untrusted processes in a sandbox, since Modal serves these use cases well.”
Generated summary from the skill's own text
This skill guides agents through working with Modal, a serverless cloud platform for AI workloads with GPU access and horizontal scalability. It provides instructions for using the Modal CLI, Python/Go/JavaScript SDKs, accessing documentation, and handling async operations. The agent should consult this skill when planning code that uses the modal library or needs scalable compute resources.
When to use it
- Developing or debugging Python code that imports the modal SDK
- Running batch jobs or workloads requiring horizontal or vertical scaling
- Building AI applications needing GPU access for training or inference
- Sandboxing untrusted processes in a cloud environment
When not to
- Working with Modal in offline or local-only environments without internet
- Projects that cannot use cloud services or require on-premise execution
Install
Restricted license: install from the publisher's repository and read its terms.
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add modal-labs/modal-client --skill modalInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install modal-labs/modal-client modal@2071dafb760a965d09f479819a834789f80a7331Installs the commit we checked (2071daf).
Copy by hand
Download the folder at 2071daf and put it in .claude/skills/modal for Claude Code and in .agents/skills/modal for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "modal" by Modal. Source, pinned to commit 2071dafb760a965d09f479819a834789f80a7331: https://github.com/modal-labs/modal-client/tree/2071dafb760a965d09f479819a834789f80a7331/py/modal/skills/modal 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/modal/ for Claude Code and .agents/skills/modal/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Its license is restricted or not stated. Show me the license terms from the repository before you copy anything. Listing and checks: https://www.agentnative.dev/skills/modal/modal-modal-client
SKILL.md at the pin
The license of this skill does not let us show its files here.
Files
- SKILL.md5.5 KB · 066fb404f4d8
1 file, 5.5 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
Skill folder on GitHub at 2071dafMore from Modal
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Open roles at Modal
5 of 19 open roles on the jobs board
- Member of Technical Staff - SDK (Stockholm)
Stockholm, Sweden (On-site)
- Member of Technical Staff - Platform Engineering
New York, New York, United States (On-site)
- Member of Technical Staff - Storage
San Francisco | Stockholm | New York (On-site)
- Systems Engineering Manager
New York
- Member of Technical Staff - Systems
New York, NY, United States | San Francisco, CA, United States (On-site)