Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/devchiniwala-modal-cli
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About
Use cases: devops, cloud, security
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/modal-cli
What's inside
- Skill name
modal-cli- Description
- Modal CLI for serverless GPU/cloud compute. Use when user mentions modal, deploying to modal, running GPU workloads, or serverless Python functions. Check `which modal` first — if missing, offer: `pip install modal && modal setup`. Covers run/serve/deploy, apps, containers, secrets, volumes, and workspace management.
- License
- MIT
- Instructions
- 114 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
## Prerequisites Before any modal command, verify the CLI is available: ```bash which modal ``` **If not found**, ask the user: > Modal CLI not found. Install it? > > ```bash > pip install modal > ``` After install, run auth setup: ```bash modal setup ``` This opens a browser for token auth. If `modal` still isn't on PATH after pip install, use: ```bash python -m modal setup ``` **If found but not authed**, check with: ```bash modal token info ``` If that errors, run `modal setup` to authenticate. ## Core Commands | Command | Purpose | |---------|---------| | `modal run <file>` | One-off execution of a script/function | | `modal serve <file>` | Local dev with hot-reload | | `modal deploy <file>` | Production deployment | | `modal app list` | List deployed apps | | `modal app logs <name>` | Stream logs for a deployed app | | `modal app stop <name>` | Stop a running app | | `modal shell` | Interactive shell in Modal environment | ## Workflows ### First-time setup ```bash pip install modal modal setup modal run hello.py # validate end-to-end ``` ### Develop and deploy ```bash modal run my_app.py # test locally modal serve my_app.py # hot-reload dev modal deploy my_app.py # ship it ``` ### Debug containers ```bash modal container list modal container logs <id> modal container exec <id> -- bash -lc "nvidia-smi" ``` ### Manage resources ```bash modal secret create my-secret KEY=value modal volume create my-vol modal environment create dev modal config set-environment dev ``` ## Auth & Profiles - `modal token info` — check current auth - `modal token new` — create token via browser - `modal token set` — set token credentials directly - `modal profile list` / `activate` — switch workspaces - `modal config show` — print effective config Environment variables: `MODAL_TOKEN_ID`, `MODAL_TOKEN_SECRET`, `MODAL_ENVIRONMENT`, `MODAL_PROFILE` ## Resource Management - **Secrets**: `modal secret list/create/delete` (supports `.env` import) - **Volumes**: `modal volume create/list/ls/put/get/rm/delete` - **Dicts**: `modal dict create/list/items/get/clear/delete` - **Queues**: `modal queue create/list/peek/len/clear/delete` - **NFS**: `modal nfs list/create/ls/put/get/rm/delete` - **Environments**: `modal environment list/create/delete/update` ## Decision Points - User says "deploy to modal" / "run on GPU" → `modal deploy` or `modal run` - User says "check my modal apps" → `modal app list` - User says "modal logs" → `modal app logs <name>` - User needs interactive debug → `modal shell` or `modal container exec` - modal not installed → offer install, don't silently fail - modal not authed → run `modal setup` ## References - Guide: https://modal.com/docs/guide - CLI reference: https://modal.com/docs/reference/cli/ - Status: https://status.modal.com
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 5, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/DevChiniwala/HeyClara
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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When the user wants help with marketing, growth, GTM, or getting users.
SkillCFreshness: C★ 1Claude Code +9 - 0.502score
email
DevChiniwala
Write any kind of email: cold outreach, prospecting, follow-up sequences, drip campaigns, lifecycle emails, nurture sequences, onboarding emails, welcome…
SkillCFreshness: C★ 1Claude Code +9 - 0.502score
agent-skill-creator
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Create or improve AI agent skills with proper progressive disclosure, description optimization, and router patterns.
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image-generation
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Generate images using OpenAI (default) or Gemini.
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beads-tasks
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Persistent task management via Beads CLI (bd).
SkillCFreshness: C★ 1Claude Code +9 - 0.497score
code-review
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Review pull requests, code diffs, and changes for correctness, design, security, performance, and style.
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Cite this page
modal-cli skill. Agent Mart. https://agentmart.dev/skills/devchiniwala-modal-cli (last updated 2026-10-24)