Performance Analytics

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by groeimetai · vlatest · Repository

Helps with performance optimization, analytics as part of data analysis and analytics workflows workflows.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add groeimetai-performance-analytics npx -- -y @trustedskills/groeimetai-performance-analytics
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "groeimetai-performance-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/groeimetai-performance-analytics"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

Performance Analytics

What it does

This skill enables AI agents to generate comprehensive performance analytics for Snowflake data environments. It allows agents to query system metrics, analyze resource utilization, and produce detailed reports on database efficiency.

When to use it

  • Resource Optimization: Identify underutilized or overburdened clusters to optimize cloud costs.
  • Bottleneck Detection: Analyze query execution times to find and resolve performance bottlenecks in data pipelines.
  • Capacity Planning: Review historical usage trends to forecast future storage and compute requirements.
  • Operational Auditing: Generate regular compliance reports detailing system health and security posture.

Key capabilities

  • Query Snowflake system tables for real-time metrics.
  • Analyze resource consumption patterns across warehouses.
  • Generate structured performance reports in various formats.
  • Monitor query execution statistics and wait events.

Example prompts

  • "Analyze the last 24 hours of warehouse usage and highlight any periods of excessive compute cost."
  • "Generate a report on slow-running queries that exceeded the 5-minute threshold this week."
  • "Summarize current storage utilization trends and predict when we will hit our capacity limit."

Tips & gotchas

Ensure your AI agent has appropriate SYSADMIN or MONITOR roles to access system tables required for deep analytics. Limit historical data ranges in prompts to prevent overwhelming the token context window with massive datasets.

Tags

🛡️

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Details

Version
vlatest
License
Author
groeimetai
Installs
42

🌐 Community

Passed automated security scans.