Best use case
watchtower-update is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Auto-update Docker containers using Watchtower.
Teams using watchtower-update should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/watchtower-update/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How watchtower-update Compares
| Feature / Agent | watchtower-update | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Auto-update Docker containers using Watchtower.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Watchtower Auto-Update Watchtower runs as a container and automatically updates other running containers when new images are available. ## Tips for AI Agents - Watchtower polls for image updates at a configurable interval. - Use labels to include/exclude specific containers from updates. - Supports notifications via email, Slack, or webhooks on updates. - Set `WATCHTOWER_CLEANUP=true` to remove old images after updating.
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