OpenShift Node team assistant for development, deployment, debugging, and workflow tasks across kubelet, MCO, CRI-O, crun, conmonrs, Kueue operator, Jira, Red Hat KB/support cases, Prometheus, and platform docs.
Purge cached artifacts and local data produced by Node team plugins
Show Node team scope, responsibilities, component ownership, and plugin routing
Verify that GitHub and Jira tokens are valid and the environment is ready for Node team workflows
Clone a Node team repo and set up a worktree for development
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A collection of Claude Code plugins to automate and assist with various development tasks.
Add the marketplace:
/plugin marketplace add openshift-eng/ai-helpers
Install a plugin:
/plugin install jira@ai-helpers
Use the commands:
/jira:solve OCPBUGS-12345 origin
To get the latest plugin versions:
Update the marketplace (fetches latest plugin catalog):
/plugin marketplace update ai-helpers
Reinstall the plugin (downloads new version):
/plugin install <plugin>@ai-helpers
Add a SessionStart hook to automatically sync the marketplace catalog on each session. In your project's .claude/settings.json:
{
"hooks": {
"SessionStart": [
{
"command": "claude plugin marketplace update ai-helpers",
"timeout": 30000
}
]
}
}
Note: This only refreshes the catalog (what's available). To actually update an installed plugin to a newer version, you still need to reinstall it with /plugin install <plugin>@ai-helpers.
Coding agents like OpenCode, Gemini, Cursor and more can consume Claude Code plugins using the Agent Package Manager (APM).
Example apm.yml:
name: my-project
version: 1.0.0
description: My project is great.
target: [claude, cursor, gemini, opencode]
dependencies:
- openshift-eng/ai-helpers/plugins/bigquery
Then run apm install. It can install to your project only, or with a --global scope.
A container is available with Claude Code and all plugins pre-installed. This is primarily for use in OpenShift CI.
The image includes two Claude Code binaries:
claude (default entrypoint) — installed from the stable RPM channelclaude-latest — installed from the latest RPM channel, for trying newer features or comparing behavior between versionspodman build -f images/Dockerfile -t ai-helpers .
To use Claude Code with Google Cloud's Vertex AI, you need to pass through your gcloud credentials and set the required environment variables:
podman run -it \
-e CLAUDE_CODE_USE_VERTEX=1 \
-e CLOUD_ML_REGION=your-ml-region \
-e ANTHROPIC_VERTEX_PROJECT_ID=your-project-id \
-v ~/.config/gcloud:/home/claude/.config/gcloud:ro \
-v $(pwd):/workspace \
-w /workspace \
ai-helpers
Environment Variables:
CLAUDE_CODE_USE_VERTEX=1 - Enable Vertex AI integrationCLOUD_ML_REGION - Your GCP region (e.g., us-east5)ANTHROPIC_VERTEX_PROJECT_ID - Your GCP project IDVolume Mounts:
-v ~/.config/gcloud:/home/claude/.config/gcloud:ro - Passes through your gcloud authentication (read-only)-v $(pwd):/workspace - Mounts your current directory into the containerYou can execute Claude Code commands directly without entering an interactive session using the -p or --print flag:
podman run -it \
-e CLAUDE_CODE_USE_VERTEX=1 \
-e CLOUD_ML_REGION=your-ml-region \
-e ANTHROPIC_VERTEX_PROJECT_ID=your-project-id \
-v ~/.config/gcloud:/home/claude/.config/gcloud:ro \
-v $(pwd):/workspace \
-w /workspace \
ai-helpers \
--print "/hello-world:echo Hello from Claude Code!"
This will:
/hello-world:echo command with the provided messageFor a complete list of all available plugins and commands, see the AI Helpers Marketplace.
Want to contribute or create your own plugins? Check out the plugins/ directory for examples.
Make sure your commands and agents follow the conventions for the Sections structure presented in the hello-world reference implementation plugin (see hello-world:echo for an example).
Plugins, commands, skills, and hooks must NEVER reference real people by name, even as stylistic examples (e.g., "in the style of ").
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MCP server and extended tooling for OpenShift CI data access
GitHub utilities for image uploads, asset management, and PR automation
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