Pipeline Health Analyzer

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by onewave-ai · vlatest · Repository

Proactively identifies bottlenecks and anomalies in CI/CD pipelines, optimizing performance and reducing deployment failures.

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 pipeline-health-analyzer npx -- -y @trustedskills/pipeline-health-analyzer
2

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

~/.claude/settings.json
{
  "mcpServers": {
    "pipeline-health-analyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/pipeline-health-analyzer"
      ]
    }
  }
}

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

About This Skill

The pipeline-health-analyzer skill provides real-time visibility into CI/CD system performance, automatically detecting bottlenecks and resource constraints within your build infrastructure. It correlates job execution metrics with underlying infrastructure events to pinpoint root causes of delays or failures.

When to use it

  • Investigating sudden spikes in build duration across multiple repositories.
  • Diagnosing intermittent timeout errors that lack clear error logs.
  • Optimizing resource allocation for high-traffic deployment windows.
  • Analyzing the impact of recent code changes on pipeline stability.

Key capabilities

  • Real-time monitoring of CI/CD job execution metrics.
  • Automatic detection of performance bottlenecks and latency sources.
  • Correlation of build failures with infrastructure events.
  • Identification of resource contention issues within the pipeline environment.

Example prompts

  • "Analyze the last 50 failed builds in our main repository and identify common failure patterns."
  • "Why is the staging deployment pipeline taking twice as long to complete compared to yesterday?"
  • "Correlate recent infrastructure changes with a spike in job timeout errors across the team."

Tips & gotchas

Ensure your CI/CD provider has detailed telemetry enabled, as the analyzer relies on comprehensive execution logs to generate accurate insights. Focus analysis on specific timeframes or repositories to avoid overwhelming the system with too much data at once.

Tags

🛡️

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Details

Version
vlatest
License
Author
onewave-ai
Installs
37

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Passed automated security scans.