How to Search and Improve AI Prompts with prompt-lookup
Writing effective prompts requires experimentation. But leveraging community-curated prompt templates can significantly accelerate the process.
This article explains how to search, retrieve, and improve AI prompts using the prompt-lookup skill from the awesome-chatgpt-prompts repository.
What This Skill Does
prompt-lookup integrates with the prompts.chat MCP server to manage AI prompts:
- Search prompts by keyword, category, and tag (
search_prompts) - Retrieve prompt details by ID (
get_prompt) - Handle variable substitution (
${variable}and${variable:default}syntax) - AI-powered prompt quality improvement (
improve_prompt) - Support for multiple output types: text, image, video, audio
Suited for developers improving prompt engineering efficiency and anyone seeking quality prompt templates.
Installation
Prerequisites
- Claude Code installed
- Access to the prompts.chat MCP server
Install Command
claude mcp add github.com/f/awesome-chatgpt-prompts/tree/main/.claude/skills/prompt-lookup
Usage
Searching Prompts
Find prompts for code review
The skill uses search_prompts to list matching prompts. You can filter by category (TEXT, STRUCTURED, IMAGE, VIDEO, AUDIO) and tags.
Retrieving Prompts
Specify an ID from search results to get full details. Templates with ${language} variables will prompt for input or apply defaults.
Improving Prompts
Improve this prompt
improve_prompt enhances quality by specifying output type (text/image/video/sound) and format (text/structured_json/structured_yaml).
Important Considerations
MCP Server Connection Required
Communication with the prompts.chat MCP server is necessary. Network restrictions may prevent access.
Variable Expansion
Template variables ${variable} are expanded at runtime. Variables without defaults (${variable:default}) require user input.
Improvement Results Are Suggestions
improve_prompt results are AI-generated suggestions. Adjust them for your specific use case.
Summary
prompt-lookup enables searching, retrieving, and improving community prompt templates directly from Claude Code. Use it to accelerate your prompt engineering workflow.