Automate code review with language-aware analysis, pre-commit verification for staged changes, and multi-specialist deep reviews that post to GitHub or GitLab. Supports Go, Python, Rust, TypeScript, Java.
Classify GitHub PR review comments by severity and topic. Use when the user wants to categorize, analyze, or understand patterns in code review feedback — whether for a single comment, a comment URL, or an entire pull request. Triggers on requests like 'classify this comment', 'categorize PR feedback', 'what kind of review comments does this PR have', or 'break down comments by severity'.
Use when a deeper level of code review is requested. Multi-agent panel code review with specialist reviewers and forced runtime reproducers for all BLOCKING bug findings. Optionally posts to GitHub/GitLab as a PENDING review.
Language-specific review guidance for Go code including idiomatic patterns, test conventions, and build commands
Project-specific review profile for the openshift/hypershift repository — delegates to the repo's own agents and skills
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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 code-reviewCreate and maintain AI-optimized documentation for OpenShift
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
A plugin to automate tasks with Jira
Bundle of curated plugins, skills, and MCP servers useful to any OpenShift engineer
Adversarial multi-agent code review. Your PR runs a gauntlet of up to seven concern-specialized agents, then survives deterministic verification, skeptical validation, and a blind challenge before anything reaches you. Prompt injection defense and flexible delivery (PR/MR comments, markdown, chat). Supports GitHub and GitLab. Formerly deep-review.
Comprehensive code review skill with 53 specialized agents for architecture, code quality, error handling, types, comments, tests, accessibility, localization, concurrency, performance, simplification, security, and platform-specific reviews (iOS, macOS, Android, Angular, TypeScript, Next.js, Vue.js, Python, Django, Ruby, Rust, Go, Rails, Flutter, Java/Spring Boot, C#/.NET, PHP/Laravel, C/C++, React Native, Svelte/SvelteKit, Elixir/Phoenix, Kotlin Server, Scala, Terraform, Shell/Bash, Docker, Kubernetes, GraphQL, GitHub Actions) with automatic platform detection and confidence scoring.
Shared code review workflows, verification protocol, git commands, and feedback handling. Recommended as a base for all beagle plugins.
Comprehensive GitHub code review with AI-powered swarm coordination
Agent skills for roborev code review, fix, refine, and response workflows.
使用多個專門代理進行自動化程式碼審查,配備基於置信度的評分系統以過濾誤報