akillness/jeo-skills/unity-cli

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Install, configure, and use the Unity Command Line Interface (CLI) for automated production workflows, project management, and cloud integration. Use when setting up CLI-based build automation, CI/CD pipelines, Editor/module management, authentication, or localhost API calls via the experimental Unity Pipeline package. Designed for verifiable, machine-readable game production workflows where the build machine must be describable and tests must return evidence. Triggers on: Unity CLI, unity command line, unity automation, unity ci/cd, unity build script, unity pipeline, unity production workflows.

Install

npx vskill@latest install akillness/jeo-skills/unity-cli

SKILL.md

Unity CLI

Streamline Unity project workflows and automation through the command line.

When to use this skill

  • Install and verify the Unity CLI in your environment
  • Set up authentication for CI/CD pipelines or automated builds
  • Create or manage Unity projects programmatically
  • Automate build, test, or project initialization workflows
  • Configure cloud save, licensing, or organization settings
  • Integrate Unity CLI into GitHub Actions, Jenkins, or similar CI systems

When not to use this skill

  • For interactive game development workflows → use unity-gamedev-skill-pack
  • For graphics/rendering tasks → use threejs-* or engine-specific skills
  • For UI design in game context → use game-studio-harness or open-design-game-ui-*
  • For VFX or animation → use game-vfx or video-motion-previs

Instructions

Step 1: Capture the automation intent

Identify:

  • Goal: build automation, project setup, CI/CD integration, cloud operations, or licensing
  • Environment: local development, GitHub Actions, Jenkins, GitLab CI, or custom runner
  • Scope: single project, monorepo, or organization-wide automation
  • Auth: service account, personal token, or interactive login
Step 2: Check prerequisites

Verify:

bash
dotnet --version
which unity-cli || which unity

If not installed, proceed to Step 3.

Step 3: Install Unity CLI

Local installation:

bash
bash .agent-skills/unity-cli/scripts/setup.sh --install

Docker (CI/CD):

Use official Unity Docker images with CLI pre-installed:

bash
docker pull unityci/editor:<version>-<platform>-<architecture>

Manual (system-wide):

Follow Unity CLI installation docs and add to PATH.

Step 4: Authenticate

Interactive login:

bash
unity-cli manage licensing --authenticate

CI/CD token (recommended):

bash
export UNITY_SERIAL=<serial>
export UNITY_EMAIL=<email>
export UNITY_PASSWORD=<password>
unity-cli manage licensing --validate

For service accounts, use personal access tokens instead of plaintext passwords.

Step 5: Run common workflows

Create a new project:

bash
unity-cli project create --name myproject --template 3d

Manage Editor installations:

bash
# List available Editor versions
unity-cli install --list
# Install exact Editor version with specific modules
unity-cli install 2023.2.10f1 -m android ios webgl --accept-eula --yes
# Open project with auto-detected Editor version
unity-cli open ./MyGame

Build with verifiable output (JSON/TSV):

bash
# Machine-readable build output
unity-cli build --project /path/to/project \
--platform WebGL \
--output /path/to/build \
--format json > build-result.json
# Parse results in CI
cat build-result.json | jq '.success'

Invoke the Pipeline package (localhost API):

bash
# Requires: com.unity.pipeline experimental package installed
# Requires: Editor running with --api-port flag
# Example: Evaluate C# in running Editor
curl -X POST http://localhost:14000/eval \
-H "Authorization: Bearer $PIPELINE_TOKEN" \
-d '{"code": "Debug.Log(Application.version)"}'

Validate setup:

bash
unity-cli doctor

Run tests with evidence:

bash
unity-cli test --project /path/to/project \
--results-file test-results.xml \
--format json > test-output.json
Step 6: Integrate into CI/CD

Example GitHub Actions workflow:

yaml
name: Unity Build
on: [push, pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- run: bash .agent-skills/unity-cli/scripts/setup.sh --ci
- run: unity-cli build --project . --platform WebGL --output ./dist
- uses: actions/upload-artifact@v3
with:
name: build
path: ./dist

See references/ci-cd-patterns.md for Jenkins, GitLab CI, and other runners.

Step 7: Troubleshoot failures

License validation fails:

bash
unity-cli manage licensing --validate --verbose

Build fails with missing dependencies:

bash
unity-cli project validate --project /path/to/project

CLI not found:

bash
bash .agent-skills/unity-cli/scripts/setup.sh --diagnose

Common issues and solutions are in references/troubleshooting.md.

Examples

Example 1: Set up CI/CD for a WebGL build

A GitHub Actions workflow needs to build a game for WebGL. Use the skill to install the exact Editor version, validate the project, build with structured output, and parse results.

Example 2: Verify game build in production

An AI agent needs to confirm that a build succeeded and retrieve the output path. Use JSON-formatted build output to parse success/failure and let the agent make decisions based on structured results.

Example 3: Query running Editor via Pipeline package

A CI job needs to check build info while the Editor is running. Install the com.unity.pipeline package, start the Editor with --api-port, and query custom CLI commands from the script.

Best practices

  1. Use tokens in CI/CD, never plaintext passwords in repo files.
  2. Validate before building — catch config errors early with project validate.
  3. Version your builds — tag releases explicitly so CI output maps to source.
  4. Cache build artifacts — reuse editor cache across runs to speed up CI.
  5. Test locally first — verify CLI commands work on your machine before committing to CI.
  6. Use official Docker images — pre-built images avoid OS dependency drift.
  7. Keep CLI updated — periodically refresh to latest stable version for bug fixes and new features.

References

  • Unity CLI Documentation
  • references/commands.md — detailed command reference
  • references/ci-cd-patterns.md — GitHub Actions, Jenkins, GitLab CI examples
  • references/production-workflows.md — verifiable game production workflows with evidence
  • references/troubleshooting.md — common errors and solutions
  • scripts/setup.sh — automated install and verification

Security

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  • Model reviewPassed

Quality evaluation

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Source

Popularity

Repository stars
40
Repository forks
7
7-day trend score
19

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