Analyze Kubernetes resource lifecycle in Prow CI job artifacts by parsing audit logs and pod logs from GCS, generating interactive HTML reports with timelines
Analyze a failed test by inspecting the code in the current project and artifacts in Prow CI job. Provide a detailed analysis of the test failure in a pre-defined format.
Extract and decompress must-gather archives from Prow CI job artifacts, generating an interactive HTML file browser with filters
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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
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 messageComprehensive Jira automation including:
/jira:solve) - Analyze JIRA issues and create pull requests to solve them/jira:status-rollup) - Generate status summaries by analyzing all child issues/jira:grooming) - Analyze new bugs and cards for grooming meetings/jira:generate-test-plan) - Generate comprehensive test steps for JIRA issues by analyzing related PRsSee plugins/jira/README.md for full documentation.
General-purpose utilities for development workflows:
/utils:generate-test-plan) - Generate test steps for one or more related PRsSee plugins/utils/commands/generate-test-plan.md for full documentation.
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).
When contributing new commands:
commands/ directoryplugins/utils/commands/)
If you're contributing several related commands that warrant their own plugin:
plugins/ with your plugin nameplugins/your-plugin/
├── .claude-plugin/
│ └── plugin.json
└── commands/
└── your-command.md
.claude-plugin/marketplace.jsonThis repository uses claudelint to validate plugin structure:
make lint
See LICENSE for details.
npx claudepluginhub davidesalerno/ai-helpers --plugin prow-jobA plugin for engineering documentation and notes
Generate comprehensive YAML documentation from Go struct definitions with sensible default values
A generic utilities plugin serving as a catch-all for various helper commands and agents
A plugin to save and resume conversation sessions across long time intervals
A plugin to automate tasks with Jira
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.
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
Comprehensive startup business analysis with market sizing (TAM/SAM/SOM), financial modeling, team planning, and strategic research
v9.52.0 - 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.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.