Mistral Common Errors

Name: Mistral Common Errors
Author: jeremylongshore

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by jeremylongshore · vlatest · Repository

This skill identifies and corrects frequent mistakes made by Mistral models, improving output quality and reducing unnecessary revisions.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

Run in terminal (recommended)

terminal

claude mcp add mistral-common-errors npx -- -y @trustedskills/mistral-common-errors

Or manually add to ~/.claude/settings.json

~/.claude/settings.json

{
  "mcpServers": {
    "mistral-common-errors": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/mistral-common-errors"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill helps identify and correct common errors encountered when using Mistral AI models. It analyzes text for typical mistakes like incorrect grammar, awkward phrasing, or logical inconsistencies often produced by large language models. The tool aims to improve the quality and reliability of generated content by pinpointing these issues.

When to use it

Reviewing draft documents: Use this skill to refine articles, reports, or other written materials before publication.
Debugging AI-generated code comments: Ensure clarity and accuracy in automatically generated explanations for software code.
Improving chatbot responses: Enhance the professionalism and correctness of a chatbot's replies by correcting potential errors.
Analyzing creative writing: Help refine stories or scripts to eliminate awkward phrasing and improve overall flow.

Key capabilities

Error identification
Grammar correction
Phrase refinement
Logical consistency checks

Example prompts

"Please review this paragraph for common Mistral AI errors: [paragraph text]"
"Can you identify any awkward phrasing in this code comment? [code comment text]"
"Check the following chatbot response for logical inconsistencies: [chatbot response]"

Tips & gotchas

This skill is most effective when used with content that has already been generated by a Mistral AI model. While it can improve general writing, its primary focus is on correcting errors specific to those models' output.

View Repository →

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Security Audits

Gen Agent Trust Hub	Pass
Socket	Pass
Snyk	Pass

Details

Version: vlatest
License
Author: jeremylongshore
Installs: 11

Repository (canonical source) →

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Passed automated security scans.