Zammad-MCP

Run issue digest and issue triage workflows for basher83/Zammad-MCP, including small-repo owner attention, deterministic labels, optional LLM label suggestions, duplicate candidates, Renovate/Dependabot policy drift, and the scheduled maintainer tracking digest.

Run pull request triage and digest workflows for basher83/Zammad-MCP, including human PR review attention, Renovate/Dependabot dependency noise, CI state, mergeability, and configurable time windows.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Run issue digest and issue triage workflows for basher83/Zammad-MCP, including small-repo owner attention, deterministic labels, optional LLM label suggestions, duplicate candidates, Renovate/Dependabot policy drift, and the scheduled maintainer tracking digest.

Run pull request triage and digest workflows for basher83/Zammad-MCP, including human PR review attention, Renovate/Dependabot dependency noise, CI state, mergeability, and configurable time windows.

Quality assurance and CodeRabbit learning system for Zammad MCP development. Use when creating PRs, implementing MCP tools, adding pagination, handling errors, or addressing CodeRabbit feedback. Provides checklists, pattern guides, and accumulated project learnings to prevent recurring issues.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Quality assurance and CodeRabbit learning system for Zammad MCP development. Use when creating PRs, implementing MCP tools, adding pagination, handling errors, or addressing CodeRabbit feedback. Provides checklists, pattern guides, and accumulated project learnings to prevent recurring issues.

Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.