Prompt Improver
This Prompt Improver refines your prompts for better AI responses – boosting clarity and effectiveness for optimal results.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add prompt-improver npx -- -y @trustedskills/prompt-improver
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"prompt-improver": {
"command": "npx",
"args": [
"-y",
"@trustedskills/prompt-improver"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The prompt-improver skill analyzes your input to refine instructions, clarify ambiguous requests, and optimize phrasing for better AI agent performance. It acts as an intelligent editor that transforms vague or complex queries into precise, actionable prompts tailored for specific tasks.
When to use it
- You have a rough idea of what you want the AI to do but lack the technical vocabulary to describe it clearly.
- Your initial prompt results in generic or irrelevant outputs because the instructions were too broad.
- You need to restructure a complex, multi-step request into a logical sequence for the agent to follow.
- You are unsure if your prompt includes all necessary context, constraints, or formatting requirements.
Key capabilities
- Analyzes input text to identify ambiguity and missing details.
- Rewrites prompts to enhance clarity, specificity, and instruction structure.
- Optimizes language to align with best practices for AI interaction.
- Provides refined versions of user queries to improve output quality.
Example prompts
- "Improve this prompt: 'Write a blog post about coffee.'"
- "Refine my instructions for generating a Python script that scrapes data from a website."
- "Make this request clearer and more detailed: 'Help me fix my code, it's not working.'"
Tips & gotchas
- Provide the original draft of your prompt alongside your request to ensure the improvement tool has enough context to work effectively.
- This skill is designed for text refinement; it does not execute code or generate content directly, but rather optimizes the instructions given to other agents.
Tags
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