Best use case
n8n-monitor is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Teams using n8n-monitor 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/n8n-monitor/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How n8n-monitor Compares
| Feature / Agent | n8n-monitor | 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?
This skill provides specific capabilities for your AI agent. See the About section for full details.
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
# Skill: n8n-monitor
Monitoramento operacional do N8N via Docker.
## Capabilities
- Verificar status dos containers N8N
- Ler logs recentes
- Checar saúde do container
- Analisar uso de CPU e memória
## Commands
- docker ps | grep n8n
- docker logs --tail 50 n8n
- docker inspect --format='{{.State.Health.Status}}' n8n
- docker stats --no-stream n8n
## Output
Respostas em Markdown, com tabelas simples e status claro.
## Status
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