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Create reusable AI prompt templates with hot reload, frameworks, and quality gates.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "claude-prompts" yet — see the docs or source repo.
Design a set of reusable prompt templates for customer support Q&A, including a system prompt, variable placeholders, output format requirements, and a directory structure suitable for hot-reload maintenance.
A structured prompt template setup for reuse, editing, and continuous iteration.
Create a prompt template for a market research assistant that makes the model break down the problem first, list analysis dimensions next, and then provide conclusions with risk notes, with these steps encoded as a thinking framework.
A template with fixed reasoning steps that helps the model produce more consistent, high-quality analysis.
Design a set of prompt quality check rules to automatically evaluate whether a prompt is clear, variables are complete, and output formats are verifiable before release, and provide example failure messages.
Quality gate rules and failure feedback examples that can be used for automated validation.
Turn rough prompts into clearer, more detailed, and more effective AI instructions.
Call tools like weather lookup via MCP with reusable resources and prompts.
Rewrite rough prompts into optimized structured prompts for better LLM outputs.
Manage and search prompt repositories directly from Claude Code or Codex.
Access tickets, CI/CD pipelines, project data, and agent sessions in MCP clients.
Dynamically rebrand a micro-storefront’s content, inventory, and visual theme via MCP.