A collection of Claude Code configurations for automating operations tasks. Includes a meta-prompt MCP server for grading and analyzing prompts, benefiting operations teams by streamlining workflows and improving prompt quality.
git clone https://github.com/delexw/claude-code-misc.gitA collection of Claude Code configurations for automating operations tasks. Includes a meta-prompt MCP server for grading and analyzing prompts, benefiting operations teams by streamlining workflows and improving prompt quality.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/delexw/claude-code-miscCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the following prompt for [COMPANY] in the [INDUSTRY] sector and provide a detailed evaluation. The prompt is: '[PROMPT]'. Return your analysis in JSON format, including sections for clarity, specificity, potential biases, and suggested improvements.
```json
{
"analysis": {
"clarity": "The prompt is generally clear but could benefit from more specific examples.",
"specificity": "The prompt lacks specific details about the desired output format.",
"potential_biases": "The prompt may unintentionally favor recent data over historical data.",
"suggested_improvements": [
"Include specific examples of desired outputs.",
"Specify the time range for the data to be analyzed.",
"Explicitly state the importance of both recent and historical data."
]
},
"score": 7.5
}
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