MCP server Claude CodeCodexCursor +2
MCP server "aaworkflow" as configured in dmzoneill/redhat-ai-workflow. Runs /home/daoneill/src/redhat-ai-workflow/scripts/mcp_proxy.py with python.
Instructions file CodexOpenCode
Instructions for dmzoneill/redhat-ai-workflow, covering ai workflow assistant, your role, how this system works, key principles and critical: skill-first behavior.
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Validate app-interface GitOps configuration.
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Wind down your work day with a summary of what you accomplished and prep for tomorrow.
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Command "cancel-pipeline" from dmzoneill/redhat-ai-workflow, covering /cancel-pipeline, arguments, usage, examples and cancel a pipeline.
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Check repository documentation for staleness.
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Check your open Merge Requests for comments awaiting your response.
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List and manage your ephemeral namespaces.
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Review status of your open merge requests.
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Verify Kubernetes secrets and configmaps.
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Command "ci-health" from dmzoneill/redhat-ai-workflow, covering /ci-health, arguments, usage, examples and check current repo ci.
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Command "clone-issue" from dmzoneill/redhat-ai-workflow, covering /clone-issue, arguments, usage, examples and clone an issue.
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Close a Jira issue and add a summary comment from commits.
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Close a merge request and update linked Jira.
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Your daily standup assistant - everything you need at the start of your work day.
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Description: Create a Jira issue with Markdown support and auto-conversion.
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Create a GitLab MR from the current branch with proper formatting.
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Schedule skills to run automatically at specific times or based on events.
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Deep investigation of production issues.
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When a tool fails, use auto-debug to fix it AND save the learning.
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Deploy an MR or branch to an ephemeral environment.
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Description: Deploy a Merge Request to an ephemeral environment for testing.
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Full health check of a Kubernetes environment.
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Extend the lifetime of an ephemeral namespace.