Gamma Debug Bundle
ListedAutomatically generates comprehensive debugging reports and test data bundles from code errors and performance bottlenecks.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill gamma-debug-bundle -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
We could not read this skill's source, so none of the checks below were run.
About this skill
What it does
The gamma-debug-bundle skill provides debugging assistance for code. It can identify potential errors, suggest fixes based on common patterns, and explain the reasoning behind those suggestions. This helps developers quickly resolve issues and improve code quality without extensive manual analysis.
When to use it
- Troubleshooting failing tests: Use this skill when automated tests are failing and you need help understanding why.
- Debugging complex logic: Employ it when dealing with intricate algorithms or conditional statements that are difficult to trace manually.
- Identifying performance bottlenecks: Leverage the skill to analyze code for inefficient patterns impacting execution speed.
- Understanding unfamiliar codebases: Use this tool to quickly grasp the functionality and potential issues within a new project.
Key capabilities
- Error identification
- Fix suggestions
- Reasoning explanations
- Performance analysis
Example prompts
- "Debug this Python code: [code snippet]"
- "What's wrong with this JavaScript function? [function definition]"
- "Explain why this test is failing and suggest a fix. [test case]"
Tips & gotchas
The skill’s effectiveness relies on providing clear, concise code snippets. While it can identify common errors, complex or highly specialized debugging scenarios may require more in-depth manual investigation.