Generate and maintain AI-optimized documentation for OpenShift repositories, with automatic verification of claims against source code and cross-repo escalation for unresolved issues.
Create lean component documentation for OpenShift repositories
Review agentic documentation — verify claims locally against source code first, then use chai-bot for cross-repo and cross-functional verification
Update existing platform documentation with automatic gap detection in openshift/enhancements
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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 ").
npx claudepluginhub openshift-eng/ai-helpers --plugin agentic-docsA plugin to automate tasks with Jira
A generic utilities plugin serving as a catch-all for various helper commands and agents
Tools for working with OpenShift CI and analyzing Prow job results
Automated code quality review with language-aware analysis, pre-commit verification, and multi-specialist deep review
Bundle of curated plugins, skills, and MCP servers useful to any OpenShift engineer
Bundle of curated plugins, skills, and MCP servers useful to any OpenShift engineer
Structured operational documentation and runbook patterns for human operators. Helps create clear, actionable runbooks for troubleshooting, incident response, and maintenance.
Use this agent when you need to analyze a service or codebase component and create comprehensive documentation in CLAUDE.md files. This agent should be invoked after implementing new services, major refactoring, or when documentation needs updating to reflect the current codebase structure. Examples: <example>Context: The user has just implemented a new authentication service and wants to document it properly. user: 'I just finished implementing the auth service, can you document how it works?' assistant: 'I'll use the codebase-documenter agent to analyze the authentication service and create detailed documentation in CLAUDE.md' <commentary>Since the user has completed a service implementation and needs documentation, use the Task tool to launch the codebase-documenter agent to create comprehensive CLAUDE.md documentation.</commentary></example> <example>Context: The user wants to ensure a newly added API module is properly documented for the team. user: 'We need documentation for the new payment processing API I just added' assistant: 'Let me use the codebase-documenter agent to analyze the payment processing API and create proper documentation' <commentary>The user needs documentation for a new API module, so use the codebase-documenter agent to create CLAUDE.md files with setup instructions and architectural notes.</commentary></example>
Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation
Agents for writing, formatting, and validating documentation and technical content
v9.54.1 — Reliability wave: tangle contextual review correction loop with hard round ceiling, progress-supervised review rounds (per-agent stall watch, descendant-tree kills), council diversity and agy pin fixes, marketplace generator source-of-truth fix, provider troubleshooting runbook and cost-expectations docs. Run /octo:setup.