agentuity-cli-cloud-deploy — community agentuity-cli-cloud-deploy, sdk-explorer, community, ide skills, Claude Code, Cursor, Windsurf

v0.1.2

About this Skill

Perfect for Cloud Deployment Agents needing streamlined project deployment to the Agentuity Cloud. Deploy project to the Agentuity Cloud. Requires authentication. Use for Agentuity cloud platform operations

agentuity agentuity
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Updated: 3/12/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
61
Canonical Locale
en
Detected Body Locale
en

Perfect for Cloud Deployment Agents needing streamlined project deployment to the Agentuity Cloud. Deploy project to the Agentuity Cloud. Requires authentication. Use for Agentuity cloud platform operations

Core Value

Empowers agents to deploy projects to the Agentuity Cloud using `agentuity auth login` and project context, providing options for logs URL and trigger customization with `--logsUrl` and `--trigger` flags.

Ideal Agent Persona

Perfect for Cloud Deployment Agents needing streamlined project deployment to the Agentuity Cloud.

Capabilities Granted for agentuity-cli-cloud-deploy

Deploying projects to the Agentuity Cloud from the command line
Automating project deployment with CI build logs URL
Triggering deployments with custom triggers

! Prerequisites & Limits

  • Requires authentication with `agentuity auth login`
  • Project context required
  • Specific options like `--logsUrl` are mandatory

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is agentuity-cli-cloud-deploy?

Perfect for Cloud Deployment Agents needing streamlined project deployment to the Agentuity Cloud. Deploy project to the Agentuity Cloud. Requires authentication. Use for Agentuity cloud platform operations

How do I install agentuity-cli-cloud-deploy?

Run the command: npx killer-skills add agentuity/sdk-explorer/agentuity-cli-cloud-deploy. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for agentuity-cli-cloud-deploy?

Key use cases include: Deploying projects to the Agentuity Cloud from the command line, Automating project deployment with CI build logs URL, Triggering deployments with custom triggers.

Which IDEs are compatible with agentuity-cli-cloud-deploy?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for agentuity-cli-cloud-deploy?

Requires authentication with `agentuity auth login`. Project context required. Specific options like `--logsUrl` are mandatory.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add agentuity/sdk-explorer/agentuity-cli-cloud-deploy. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use agentuity-cli-cloud-deploy immediately in the current project.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

agentuity-cli-cloud-deploy

Install agentuity-cli-cloud-deploy, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command...

SKILL.md
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Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Cloud Deploy

Deploy project to the Agentuity Cloud

Prerequisites

  • Authenticated with agentuity auth login
  • Project context required (run from project directory or use --project-id)
  • auth login

Usage

bash
1agentuity cloud deploy [options]

Options

OptionTypeRequiredDefaultDescription
--logsUrlstringYes-The url to the CI build logs
--triggerstringNo"cli"The trigger that caused the build
--commitUrlstringYes-The url to the CI commit
--messagestringYes-The message to associate with this deployment
--commitstringYes-The commit SHA for this deployment
--branchstringYes-The git branch for this deployment
--providerstringYes-The CI provider name (attempts to autodetect)
--repostringYes-The repo url
--eventstringNo"manual"The event that triggered the deployment
--pullRequestNumbernumberYes-the pull request number
--pullRequestUrlstringYes-the pull request url
--reportFilestringYes-file path to save build report JSON with errors, warnings, and diagnostics
--childModebooleanNofalseInternal: run as forked child process

Examples

Deploy current project:

bash
1bunx @agentuity/cli cloud deploy

Deploy with verbose output:

bash
1bunx @agentuity/cli cloud deploy --log-level=debug

Output

Returns JSON object:

json
1{ 2 "success": "boolean", 3 "deploymentId": "string", 4 "projectId": "string", 5 "logs": "array", 6 "urls": "object" 7}
FieldTypeDescription
successbooleanWhether deployment succeeded
deploymentIdstringDeployment ID
projectIdstringProject ID
logsarrayThe deployment startup logs
urlsobjectDeployment URLs

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