> collecting-infrastructure-metrics

This skill enables Claude to collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. It is triggered when the user requests "collect infrastructure metrics", "monitor server performance", "set up performance dashboards", or needs to analyze system resource utilization. The skill configures metrics collection, sets up aggregation, and helps create infrastructure dashboards for health monitoring and capacity tracking. It

fetch
$curl "https://skillshub.wtf/jeremylongshore/claude-code-plugins-plus-skills/infrastructure-metrics-collector?format=md"
SKILL.mdcollecting-infrastructure-metrics

Overview

This skill automates the process of setting up infrastructure metrics collection. It identifies key performance indicators (KPIs) across various infrastructure layers, configures agents to collect these metrics, and assists in setting up central aggregation and visualization.

How It Works

  1. Identify Infrastructure Layers: Determines the infrastructure layers to monitor (compute, storage, network, containers, load balancers, databases).
  2. Configure Metrics Collection: Sets up agents (Prometheus, Datadog, CloudWatch) to collect metrics from the identified layers.
  3. Aggregate Metrics: Configures central aggregation of the collected metrics for analysis and visualization.
  4. Create Dashboards: Generates infrastructure dashboards for health monitoring, performance analysis, and capacity tracking.

When to Use This Skill

This skill activates when you need to:

  • Monitor the performance of your infrastructure.
  • Identify bottlenecks in your system.
  • Set up dashboards for real-time monitoring.

Examples

Example 1: Setting up basic monitoring

User request: "Collect infrastructure metrics for my web server."

The skill will:

  1. Identify compute, storage, and network layers relevant to the web server.
  2. Configure Prometheus to collect CPU, memory, disk I/O, and network bandwidth metrics.

Example 2: Troubleshooting database performance

User request: "I'm seeing slow database queries. Can you help me monitor the database performance?"

The skill will:

  1. Identify the database layer and relevant metrics such as connection pool usage, replication lag, and cache hit rates.
  2. Configure Datadog to collect these metrics and create a dashboard to visualize performance trends.

Best Practices

  • Agent Selection: Choose the appropriate agent (Prometheus, Datadog, CloudWatch) based on your existing infrastructure and monitoring tools.
  • Metric Granularity: Balance the granularity of metrics collection with the storage and processing overhead. Collect only the essential metrics for your use case.
  • Alerting: Configure alerts based on thresholds for key metrics to proactively identify and address performance issues.

Integration

This skill can be integrated with other Claude Code plugins for deployment, configuration management, and alerting to provide a comprehensive infrastructure management solution. For example, it can be used with a deployment plugin to automatically configure metrics collection after deploying new infrastructure.

> related_skills --same-repo

> agent-context-loader

PROACTIVE AUTO-LOADING: Automatically detects and loads AGENTS.md files from the current working directory when starting a session or changing directories. This skill ensures agent-specific instructions are incorporated into Claude Code's context alongside CLAUDE.md, enabling specialized agent behaviors. Triggers automatically when Claude detects it's working in a directory, when starting a new session, or when explicitly requested to "load agent context" or "check for AGENTS.md file".

> Google Cloud Agent SDK Master

Automatic activation for ALL Google Cloud Agent Development Kit (ADK) and Agent Starter Pack operations - multi-agent systems, containerized deployment, RAG agents, and production orchestration. **TRIGGER PHRASES:** - "adk", "agent development kit", "agent starter pack", "multi-agent", "build agent" - "cloud run agent", "gke deployment", "agent engine", "containerized agent" - "rag agent", "react agent", "agent orchestration", "agent templates" **AUTO-INVOKES FOR:** - Agent creation and scaffold

> Vertex AI Media Master

Automatic activation for ALL Google Vertex AI multimodal operations - video processing, audio generation, image creation, and marketing campaigns. **TRIGGER PHRASES:** - "vertex ai", "gemini multimodal", "process video", "generate audio", "create images", "marketing campaign" - "imagen", "video understanding", "multimodal", "content generation", "media assets" **AUTO-INVOKES FOR:** - Video processing and understanding (up to 6 hours) - Audio generation and transcription - Image generation with I

> yaml-master

PROACTIVE YAML INTELLIGENCE: Automatically activates when working with YAML files, configuration management, CI/CD pipelines, Kubernetes manifests, Docker Compose, or any YAML-based workflows. Provides intelligent validation, schema inference, linting, format conversion (JSON/TOML/XML), and structural transformations with deep understanding of YAML specifications and common anti-patterns.

┌ stats

installs/wk0
░░░░░░░░░░
github stars1.6K
██████████
first seenMar 17, 2026
└────────────

┌ repo

jeremylongshore/claude-code-plugins-plus-skills
by jeremylongshore
└────────────

┌ tags

└────────────