Zammad is a self-hosted, open-source helpdesk and customer support system with email, chat, phone, Twitter, and Telegram channel integration. It provides a REST and GraphQL API for ticket management, user administration, and workflow automation.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Zammad Open Source Web-Based Helpdesk and Ticketing System"
slug: "zammad-open-source-helpdesk-ticketing-system"
description: "Zammad is a self-hosted, open-source helpdesk and customer support system with email, chat, phone, Twitter, and Telegram channel integration. It provides a REST and GraphQL API for ticket management, user administration, and workflow automation."
github_stars: 5513
verification: "security_reviewed"
source: "https://github.com/zammad/zammad"
author: "Zammad"
category: "Integrations & Connectors"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "zammad/zammad"
github_stars: 5513
---
# Zammad Open Source Web-Based Helpdesk and Ticketing System
Zammad is a self-hosted, open-source helpdesk and customer support system with email, chat, phone, Twitter, and Telegram channel integration. It provides a REST and GraphQL API for ticket management, user administration, and workflow automation.
## Installation
Requirements and caveats from upstream:
- [](https://github.com/zammad/zammad/actions/workflows/docker-release.yaml)
- Docker container images: [](https://hub.docker.com/r/zammad/zammad-docker-compose)
- [](https://hub.docker.com/r/zammad/zammad-docker-compose/)
Basic usage or getting-started notes:
- [Installing & Getting Started](https://docs.zammad.org)
- Source: https://github.com/zammad/zammad
- Extracted from upstream docs: https://raw.githubusercontent.com/zammad/zammad/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/zammad-open-source-helpdesk-ticketing-system/)
No comments yet. Be the first to comment!
Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...
**Complete production-ready guide for Google Gemini embeddings API** This skill provides comprehensive coverage of the `gemini-embedding-001` model for generating text embeddings, including SDK usage, REST API patterns, batch processing, RAG integration with Cloudflare Vectorize, and advanced use cases like semantic search and document clustering. ---
Interview, source-challenge, verify, save, and ADR-gate fuzzy coding requests into Codex-ready implementation specs. Use when a feature, bugfix, refactor, migration, repo-wide change, or architecture task needs user-verified requirements, source-backed decisions, durable architecture decisions, acceptance criteria, validation commands, rollout notes, saved spec/ADR files, and a Codex execution prompt. Do not use when already fully specified or when the user wants direct implementation now.
Use when a repo needs CodeGraph plus ast-grep for Codex MCP setup, exploration, impact analysis, structural search, or safe refactor planning.