andersonamaral2/claude-code-to-deep-agents-skills-converter/claude-code-sample-2

Claude Code and agent skill by andersonamaral2/claude-code-to-deep-agents-skills-converter

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Install

npx vskill@latest install andersonamaral2/claude-code-to-deep-agents-skills-converter/claude-code-sample-2

SKILL.md

Skill: Docker Compose Monitoring Stack

Deploys a complete monitoring stack with Prometheus, Grafana, and Node Exporter using Docker Compose.

When to use

When the user asks to set up monitoring, observability, metrics collection, or a Grafana dashboard for their infrastructure.


Steps

Check if Docker and Docker Compose are installed. If not, install Docker following the official docs.

Set the following environment variables:

  • $GRAFANA_ADMIN_PASSWORD — admin password for Grafana
  • $PROMETHEUS_RETENTION — how long to keep metrics (default: 15d)

Create the project structure:

bash
mkdir -p monitoring/{prometheus,grafana/provisioning/datasources,grafana/provisioning/dashboards,grafana/dashboards}

Create the file monitoring/docker-compose.yml:

yaml
version: "3.8"
services:
prometheus:
image: prom/prometheus:latest
ports:
- "9090:9090"
volumes:
- ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml
- prometheus_data:/prometheus
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.retention.time=${PROMETHEUS_RETENTION:-15d}'
grafana:
image: grafana/grafana:latest
ports:
- "3000:3000"
environment:
- GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning
- ./grafana/dashboards:/var/lib/grafana/dashboards
- grafana_data:/var/lib/grafana
node-exporter:
image: prom/node-exporter:latest
ports:
- "9100:9100"
pid: host
volumes:
- /proc:/host/proc:ro
- /sys:/host/sys:ro
volumes:
prometheus_data:
grafana_data:

Create monitoring/prometheus/prometheus.yml:

yaml
global:
scrape_interval: 15s
scrape_configs:
- job_name: 'prometheus'
static_configs:
- targets: ['localhost:9090']
- job_name: 'node-exporter'
static_configs:
- targets: ['node-exporter:9100']

Create the Grafana datasource provisioning file monitoring/grafana/provisioning/datasources/prometheus.yml:

yaml
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
access: proxy
url: http://prometheus:9090
isDefault: true

Create a basic Node Exporter dashboard JSON at monitoring/grafana/dashboards/node-exporter.json. Use the official Grafana dashboard ID 1860 as reference.

Create the Grafana dashboard provisioning file monitoring/grafana/provisioning/dashboards/dashboards.yml:

yaml
apiVersion: 1
providers:
- name: 'default'
folder: ''
type: file
options:
path: /var/lib/grafana/dashboards

Add a .env file with:

GRAFANA_ADMIN_PASSWORD=changeme
PROMETHEUS_RETENTION=15d

Add project notes to CLAUDE.md documenting the stack architecture.

Start everything:

bash
cd monitoring
docker compose up -d

Verify all containers are running: docker compose ps

Test each service:

bash
curl -s http://localhost:9090/-/healthy
curl -s http://localhost:3000/api/health
curl -s http://localhost:9100/metrics | head -5

If on macOS, note that Node Exporter has limited metrics because /proc and /sys are not real Linux filesystems. On Linux it works fully.

For each service that fails the health check, check the logs with docker compose logs {service} and fix the issue.


Notes

  • Grafana default login: admin / value of $GRAFANA_ADMIN_PASSWORD
  • Prometheus UI: http://localhost:9090
  • Grafana UI: http://localhost:3000
  • Data persists in Docker volumes even after docker compose down
  • To fully reset: docker compose down -v

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
55
Repository forks
8
7-day trend score
20

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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