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Granola Debug Bundle

Listed
jeremylongshore·vlatest·testing·MIT

Automatically generates test cases & debugs code issues using a curated set of techniques from jeremylongshore.

Repository

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 granola-debug-bundle -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.
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About this skill

What it does

The granola-debug-bundle skill provides debugging capabilities for AI agents. It allows users to identify and resolve errors in code, analyze stack traces, and pinpoint the root cause of issues within agent workflows. This skill aims to improve the reliability and performance of AI agents by facilitating efficient troubleshooting.

When to use it

  • When an AI agent is producing unexpected or incorrect results.
  • During development and testing phases to proactively identify and fix bugs.
  • To diagnose errors reported by users interacting with an AI agent.
  • After deploying an AI agent, when encountering performance degradation or failures.

Key capabilities

  • Error identification and reporting
  • Stack trace analysis
  • Root cause determination
  • Debugging assistance

Example prompts

  • "Analyze the stack trace: [paste stack trace here]"
  • "What is causing this error in my agent's code? [paste error message here]"
  • "Debug the following code snippet and identify any potential issues. [paste code here]"

Tips & gotchas

The skill requires access to relevant logs and code snippets from the AI agent’s environment for effective debugging. Providing clear and concise information about the issue will improve the accuracy of the analysis.