Skip to content
TrustedSkillsbeta
Back to all skills

Sentry Performance Tracing

Listed
jeremylongshore·vlatest·devops·MIT

Tracks resource usage and performance metrics of deployed AI agents to identify bottlenecks and optimize efficiency.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill sentry-performance-tracing -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

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.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill integrates Sentry performance tracing into your AI agent's workflow. It allows the agent to automatically capture and report performance data, including transaction traces and errors, directly within the Sentry platform. This provides detailed insights into application behavior and facilitates debugging complex issues. The integration streamlines monitoring and troubleshooting processes for applications managed by the AI agent.

When to use it

  • Debugging slow API calls: Identify bottlenecks in backend services when an agent is automating tasks involving those APIs.
  • Monitoring automated deployments: Track performance regressions introduced during automated deployment pipelines.
  • Troubleshooting user-facing errors: Capture and analyze error traces related to actions performed by the AI agent on behalf of users.
  • Profiling long-running jobs: Understand resource consumption and optimize the efficiency of scheduled or background tasks managed by the agent.

Key capabilities

  • Automatic transaction tracing
  • Error reporting with stack traces
  • Integration with Sentry platform
  • Performance data capture

Example prompts

  • "Monitor the performance of this API call to /users/profile and report any errors to Sentry."
  • "Trace all transactions related to user signup and send them to Sentry for analysis."
  • "Capture a stack trace if this automated deployment takes longer than 5 minutes."

Tips & gotchas

  • Requires an active Sentry project with appropriate API keys configured.
  • Ensure the agent has sufficient permissions within your Sentry environment to create and update events.