Add a wait step to a CI workflow for debugging test failures
Analyze a payload (rejected, accepted, or in-progress) with historical lookback to identify root causes of blocking job failures
Analyze recent PR reverts to identify patterns and recommend preventive measures
Analyze OpenShift installation failures in Prow CI jobs
Analyze Kubernetes resource lifecycle in Prow job artifacts
Fetch recent release payloads from the OpenShift release controller
Fetch and return key data from a Prow job's prowjob.json artifact given a Prow job URL
Analyze a payload (rejected, accepted, or in-progress) with historical lookback to identify root causes of blocking job failures and produce an HTML report
Fetch JIRA issue details including status, assignee, comments, and progress classification
Fetch a Prow job run summary from Sippy showing all failed tests grouped by SIG with error messages
Uses power tools
Uses Bash, Write, or Edit tools
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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.
Cursor is able to find the various commands defined in this repo by
making it available inside your ~/.cursor/commands directory.
$ mkdir -p ~/.cursor/commands
$ git clone [email protected]:openshift-eng/ai-helpers.git
$ ln -s ai-helpers ~/.cursor/commands/ai-helpers
A container is available with Claude Code and all plugins pre-installed.
podman 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 PLUGINS.md.
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 ").
Ethical rationale:
Instead, describe specific qualities explicitly
Good examples:
When you identify a desirable characteristic (clarity, brevity, formality, humor, etc.), describe it explicitly rather than using a person as proxy.
Check for overlaps first - Before coding, validate your idea:
Team structure knowledge and health analysis commands for OpenShift teams
Generate comprehensive YAML documentation from Go struct definitions with sensible default values
A plugin to analyze and report on must-gather data
Etcd cluster health monitoring and performance analysis utilities
Automatically create and apply tuned profile
npx claudepluginhub petr-muller/openshift-ai-helpers --plugin ciHarness-native ECC operator layer - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.