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Mistral Debug Bundle

Listed
jeremylongshore·vlatest·ai-ml·MIT

Automated debugging of Mistral AI models via code analysis, error reproduction, and targeted fix suggestions.

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 mistral-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.

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Automated safety checks

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

The mistral-debug-bundle skill provides debugging capabilities for Mistral AI models. It allows users to step through code execution, inspect variables at runtime, and identify the root cause of errors within a Mistral model's output. This facilitates iterative development and refinement of complex AI applications leveraging Mistral’s technology.

When to use it

  • Troubleshooting unexpected behavior: When a Mistral-powered application produces incorrect or undesirable results.
  • Debugging code generation: To understand why a Mistral model generated specific code, particularly when the code contains errors.
  • Analyzing complex logic: When debugging intricate AI workflows that rely on Mistral's reasoning and decision-making processes.
  • Identifying performance bottlenecks: Pinpointing slow or inefficient operations within a Mistral application’s execution flow.

Key capabilities

  • Runtime variable inspection
  • Step-by-step code execution tracing
  • Error root cause analysis
  • Debugging of generated code

Example prompts

  • "Debug the following Python code and show me the value of x after line 5: [code snippet]"
  • "Trace the execution of this Mistral model's response and explain why it chose option B."
  • "Step through this function and identify where the error occurs when processing input 'example_input'."

Tips & gotchas

This skill requires a working environment with access to a Mistral AI model. The debugging process may significantly slow down execution, so use it judiciously for targeted troubleshooting rather than broad performance analysis.