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Guidewire Performance Tuning

Listed
jeremylongshore·vlatest·other·MIT

Optimize Guidewire ClaimCenter performance through expert analysis, configuration adjustments, and proactive issue resolution by Jeremy Longshore.

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This skill no longer installs under the name guidewire-performance-tuning. jeremylongshore/tons-of-skills-marketplace has no skill named "guidewire-performance-tuning" any more. It was renamed, moved or deleted upstream.

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Repository install instructions

What we know about this skill

Publisher

jeremylongshore

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Install target

Live repository

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scanned

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Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill allows AI agents to analyze and optimize Guidewire Platform performance. It can identify bottlenecks in batch processes, database queries, and overall system responsiveness. The agent can then suggest configuration changes or code modifications to improve efficiency and reduce processing times within the Guidewire environment.

When to use it

  • Troubleshooting slow-running batch jobs in Guidewire ClaimCenter.
  • Analyzing performance issues with custom reports or integrations.
  • Identifying inefficient database queries impacting system responsiveness.
  • Optimizing overall Guidewire Platform resource utilization during peak loads.

Key capabilities

  • Performance bottleneck identification
  • Database query optimization suggestions
  • Batch process tuning recommendations
  • Configuration change proposals

Example prompts

  • "Analyze the performance of the ClaimSearch batch job and suggest improvements."
  • "Identify slow database queries related to policy creation in Guidewire."
  • "What configuration changes can I make to improve overall system responsiveness?"

Tips & gotchas

This skill requires a good understanding of the Guidewire Platform architecture. The agent's suggestions should be reviewed and tested thoroughly in a non-production environment before implementation.